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06 On 5G Networks and Mobile Edge 32 Connected Vehicles and Mobile Computing in Connected Vehicles Edge Computing – A Marriage of CEO & Editor Dr. Arunkumar M. Sampath, Mahindra Convenience Maneesh Prasad Electric Mobility Limited Bhaskar Ghose, Tata Communications [email protected] Automotive Business Unit Deputy CEO Anuj Sinha 10 The Design, Calibration and 36 Data Science Applications for M: +91 87440 88838 Application of Traffic Speedmap Automotive Data [email protected] for Ride Scheduling Dr. Ashwin Sabapathy, Danlaw Inc Director Chong Kok Seng; Evgeny Makarov, Lt. Col. M C Verma (Retd.) SWAT Mobility GM- Corporate Communication 14 How Connected Mobility Is Driving 40 When Smart Data and Analytics Yashi Mittal The Future Of Cars meets the Road M: +91 98103 40678 [email protected] Harikrishna Khandavilli, Nagesh KP, SLK Software Continental Automotive India DGM- Corporate Sales Poonam Mahajan M: +91 9810341272 [email protected]
Editorial Team Member Richa Tyagi
Web Developer Neha Nagar
Designer 18 How Data management is key to 43 Connected Cars – Testing V2X Bishwajeet Kumar Singh monetize the same? Systems Publication Address Markus Pfefferer, TIBIL Computer Ravi Patil, Spirent Communications Telematics Wire Pvt. Ltd. Solutions Pvt. Ltd D-98 2nd Floor, Noida Sec-63 Uttar Pradesh-201301 Email: [email protected] 22 Big Data Needs Big Security 45 The Data-Wide-Web of Automotive Steve Johnson, CISSP, CVP; World Printed and Published by Jess Baker, SEP, HNTB Corporation Anil Gupta, Magnos Technologies LLP Maneesh Prasad on behalf of Telematics Wire Pvt. Ltd.
26 Range Controversy: A Vehicle Data 48 Big Data and Data Analytics are Telematics Wire Pvt. Ltd. Monetization Opportunity Extending Arm of OEMs D-98, 2nd Floor, Noida Sec-63 Mohan Satyaranjan, Taqanal Energy Richa Tyagi, Telematics Wire Uttar Pradesh-201301 Email: [email protected] 28 How can the Telematics Industry 52 NEWS Disclaimer Spur the Electric Vehicular Telematics Wire Pvt. Ltd. does not Revolution? necessarily subscribe to the views expressed in thepublication. All views expressed in this Tushar Bhagat, Director, Uffizio India issue are those of the contributors.
Please Note: No material may be reproduced 30 The Big Opportunity – Vehicle Data in whole or part without permission of Monetization Telematics Wire Pvt. Ltd. Vishal Sanghavi, Aranca Copyright 2021, Telematics Wire Pvt. Ltd. All rights reserved.
4 | Telematics Wire | April 2021 editorial
Data Driven Monetization is the Future of Smart Vehicle
ith the speedy digitisation of the universe, the automotive industry is poised for a gigantic change in the coming decade, if not in the next few years. The automobile industry is on the verge of a technological revolution where vehicles are no longer just mechanical engines. The confluence of automotiveW industry and smart technologies has made the journey of drivers more easier and safer. At the same time, vehicles have become more feature rich and advanced in meeting societal needs. IoV (Internet of vehicles) may still be far fetched but undeniably vehicles are becoming biggest data creators, and may be next only to humans. They are now mobile data centres, pushing a new wave of storage technology requirements. Significant quantities of data are generated and consumed as cars become more linked and autonomous. Anuj Sinha This data, true to its name, is a Big Data which is already giving valuable insights to the automotive industry to Deputy CEO & improve further in a number of ways by increasing the safety of vehicles, reducing the repair cost and increasing the Director anuj.sinha@ productivity with predictive analysis and so on. telematicswire.net Smart vehicles contain plenty of data. Most of this vehicles data is of a technical identity and is available +91-87440 88838 temporarily, with very less usefulness locally. The utility of the data within the car which is not stored for a long time is only going to increase in coming years . But certain data even now, is frequently analysed to provide better services, the connected vehicle can provide awareness into driver behaviour, vehicle health and enhance customer confidence in reliability of the vehicle as predictive maintenance replaces traditional approaches to vehicle maintenance. Automobile data analytics will allow the vehicles to navigate, collaborate and communicate with each other without any human intervention making use of the huge amount of data which is being generated by the sensors in the vehicle. It is just about an autonomous vehicle; data science, artificial intelligence and machine learning technologies which can help in keeping the automobile companies more competitive by improving R&D, design manufacturing and marketing processes. Machine learning, data science and eventually artificial intelligence can improve efficiency in the production of smart vehicles which will enable the companies to cut down their production costs, better customer service and development of futuristic innovative products. With the help of vehicle data analytics the OEMs, Service Centres, Drivers, customers as well as regulators stand to gain. Some of the Big Data mobile apps like (Tableau, Google Chart, Roambi, Qlik etc.,) collect real-time data about the traffic, transportation, accidents and other problems that may occur on the road. Thanks to these applications, crowdsourcing helps in massive collaboration amongst the users. These apps also help the users in reaching their destinations faster and more safely. The car features like parking assistance, booking of parking space or active driver assistance and many others will soon become common features in the vehicles. As connected and self-driving cars become more common, the use of vehicle data opens up new revenue streams for OEMs and partners. In all spheres, data is being considered as a new gold and the same is going to be true in automotive sector as vehicle data can be used to make money. Big data is an essential by product for autonomous vehicles to see, hear, and respond to their surroundings. It also acts as a resource for a number of use cases outside of the automotive industry, such as retail, banking, and entertainment. Newer predictions and patterns in the monetization of collected data are on the horizon. In-car microphones, cameras, and sensors generate vast quantities of data in connected cars. These IoT devices not only provide useful information about the driver’s actions and interests, but they also track passengers and bystanders, vehicle journey locations and time as well. This enables the collection of a large amount of essential and non-essential data along the way but all that have a potential for innovative new streams of products and services through analytics. The ability to deliver high-quality goods and services faster than rivals would be the differentiator of success for businesses. But as of now the road ahead does not seem to be devoid of breakers. Would consumers, however, be able to share personal information in return for advanced data-driven solutions? The level of willingness varies dramatically between use cases. Customers are more willing to share information if they understand the benefits and are assured that their information is secure. Data access legislation and the ability to provide advanced protection for personal data are important. It is not possible to simply sell gathered data to third parties. There are challenges in developing data monetisation business models. Customers, in one way or the other, are a barrier to personal data monetisation, as is the businesses’ ability to earn their loyalty. OEMs and their collaborators have to forge a common understanding with the customers and regulators on legal, social, and technological issues related to vehicle data monetisation. Need is to establish norms and solutions that enable them to live more comfortably in the shared data space and focus on developing business models wherein each stakeholder perceives a fair share from the gains.
April | Telematics Wire | 5 On 5G Networks and Mobile Edge Computing in Connected Vehicles
Dr. Arunkumar M. Sampath Mahindra Electric Mobility Limited
ver the last few years, Connected Cars and 5G system, by the exchange of critical safety connected vehicles have The number of connected vehicles is and operational data. The key element evolved, with automakers growing rapidly capturing almost 35% is LTE/5G networks which enables installing telematics control of the total number of vehicles on the communication with V2I, V2V, and V2P Ounits (TCUs) in partnership with road and with revenue from connected through Edge Cloud. This architecture telematics service providers (TSPs) vehicles of about $18 billion. A typical also provides value added services and multiple announcements made on Vehicle to Everything (V2X) architecture such as car finder, parking location and connected car cloud and industrial cloud is depicted in Figure 1 (Ref [1]) wherein entertainment services. platform developments. Additionally, communication of vehicles and roadside The V2X architecture in Figure 1 major changes came about in hardware sensors with a roadside unit (RSU) is depicts “connected digital ecosystem” (4G TCU) and operating system (OS), intended to increase the safety, efficiency, providing several smart services with almost all automakers launching and convenience of the transportation opportunities for drivers, passengers, infotainment systems with advanced in-vehicle experiences. Connected vehicle ecosystem and increased sales of Electric Vehicles (EV) have spearheaded embedded telematics to reach more than 85% penetration in US and EU markets though some automakers are increasingly reliant on Google Automotive Services (GAS) while others continue to encourage home-grown OS to keep tabs on technology know-how. As migration to 5G networks is still ongoing, automakers continue to install 4G TCUs to enable connected vehicles.
Fig 2. 5G commercial network world coverage map, as of Dec 2019 (Ref [2])
automakers, and mobile network/ telematics service providers such as: (i) Advanced/Automated Driver Assistance Systems/Services (ADAS) as driver assistant, parking assistant, self-parking, and semi-automated/automated driving, (ii) Telematics as traffic alerts and road weather condition alerts, (iii) Infotainment services as music/video streaming, (iv) Enhanced visit experience to tourists with Augmented Reality (AR) and Virtual Reality (VR), and (v) Remote diagnostics/ maintenance through software/firmware over-the-air (SOTA/FOTA) updates. The 5G spectrum operates in 3-300 Fig 1. Vehicle to Everything (V2X) Architecture (Ref [1]) GHz, has bandwidth (BW) of 0.25-1 GHz,
6 | Telematics Wire | April 2021 data rate of up to 20 Gbps, spectral efficiency of 30 bps/Hz, mobility of up to 500 km/h, U-plane latency of 0.5 ms, C-plane latency of 10 ms, and with applications comprising voice, data, video call, digital video broadcasting (DVB), video chat, VR/ AR/3600 videos, UHD videos, V2X, IoT, smart city, and wearable devices. With 5G networks, it is possible to deliver an extensive variety of services comprising enhanced mobile broadband (eMBB), ultra-reliable and low-latency communications (uRLLC), and massive machine type communications (mMTC). The 5G commercial network Fig 4. Improved QoE with MEC in close proximity to end users (Ref [3]) coverage across the world as of December 2019 is shown in Figure 2 (Ref [2]), with base stations and the convergence of IT favourable market conditions which will about 65% of the world population to be and telecommunications networking create sustainable business for all players covered by 2025. as it represents a key technology and in the value chain. MEC opens up fresh architectural concept to enable the business opportunities and a myriad of new Mobile Edge Computing evolution to 5G and satisfy the demanding use cases across multiple sectors to facilitate Mobile Edge Computing (MEC) is a requirements of 5G in terms of expected global market growth. MEC helps to create new technology being standardized in throughout, latency, scalability and a standardized, open environment that not only allows the efficient and seamless integration of applications across multi- vendor MEC platforms but also ensures that most of the customers of a mobile operator can be served. Engineering community will continue to face the dual challenges of handling increased volume of data from ever increasing number of connected vehicles while trying to maintain or reduce the latency to ensure faster response time and critical/quick decision making, especially for semi-automated and automated vehicles. MEC-based Vehicle-to-Cloud solutions enable edge cloud capabilities for different levels of autonomous driving, including Highly Autonomous Driving (HAD) and Fully Autonomous Driving (FAD), corresponding to SAE Levels 4 and 5 of automation, respectively. MEC Fig 3. Mobile Edge Computing Market Drivers (Ref [3]) can be used to extend the connected car cloud into the highly distributed mobile the Industry Specification Group (ISG) automation. The market drivers of MEC, base station environment and enable data under European Telecommunications as shown in Figure 3, include business and applications to be housed close to Standards Institute (ETSI). MEC transformation, technology integration, the vehicles. This can reduce the round- provides cloud-computing capabilities at and industry collaboration. trip time of data and enable a layer of the edge of the mobile network, within Mobile Edge Computing provides abstraction from both the core network the Radio Access Network (RAN) near improved Quality of Experience (QoE) in and applications provided over the mobile subscribers. MEC offers distinct close proximity to end users and opens up internet. MEC provides real-time driving advantages such as reduced latency, services to regular and enterprise customers services by utilizing High Definition real- highly efficient network operation as well as to adjacent industries that can now time Maps, real-time traffic monitoring and service delivery, and improved deliver their mission-critical applications and alerts, and richer passengers user experience. MEC is a natural over the mobile network (Fig 4). MEC experience. MEC applications can run development in the evolution of mobile enables a new value chain and develops on MEC servers which are deployed at
April 2021 | Telematics Wire | 7 Fig 5. MEC Support to Services for Connected and Autonomous Vehicles (Ref [1]) the LTE base station site to provide the arranged to reduce the latency and particularly important for the development roadside functionality, to support vehicles distribute the processing. of interoperable technology solutions and on roads to drive cooperatively, to be for the acceleration of their commercial aware of road hazards, and to provide Summary and Way Forward availability and global market penetration. better user experience and trust to drivers 5G networks with significantly low latency As a way forward, the MEC ISG is and passengers. The MEC applications and high network reliability play a critical developing the foundation to enable an can receive local messages directly from role in connected vehicle communication open radio access network (RAN) which the applications in the vehicles and the networks. Mobile Edge Computing can be can host third party innovative applications roadside sensors, analyse them and then considered as a key technology supporting and content at the edge of the network. A propagate (with extremely low latency) multiple services for Connected and MEC Proof-of-Concept (PoC) program has hazard warnings and other latency- Autonomous Drive vehicles. MEC enables been established to demonstrate the viability sensitive messages to other cars in the innovative service scenarios that can of MEC implementations. Feedback is taken area. This enables a nearby car to receive ensure enhanced personal experience and from the results and lessons learned by data in a matter of milliseconds, allowing optimized network operation, as well as the MEC PoCs to improve the ISG MEC the driver to immediately react. opening up new business opportunities. specification activities. The ISG is open Figure 5 depicts the MEC Support to MEC attracts a new value-chain and to members and non-members of ETSI Services for Connected and Autonomous energized eco-system, where all players can to participate and contribute towards this Vehicles by offering Network slicing and benefit from closer collaboration. MEC innovative technology, and to take part in Data Analytics at the edge (Ref [1]). As supports different deployment options, the PoC activities shown in Figure 5, the following features as MEC servers can be located at different enable MEC: places within the Radio Access Network References • Network Slicing to tailor the capacity depending on technical and business 1. D. Sabella et al., “Towards fully and capabilities of the network for requirements. MEC applications leverage connected vehicles: Edge each different service proximity to users and vehicles along computing for advanced automotive • Service-specific profiles for dynamic with network and context information to communications,” White paper, assignment of service-specific HW- offer quick decision making with reduced Dec 2017, https://5gaa.org/news/ acceleration to optimize the compute latency. Efforts are continuing towards toward-fully-connected-vehicles- and storage based on simultaneous standardization of MEC technology, as edge-computing-for-advanced- services requirements open standards are the way to open the automotive-communications/ • Hierarchical deployment of the MEC market and to ensure interoperability. 2. M.H. Alsharif et al., “Sixth Generation environment using a hierarchy of A proper synergy between standards (6G) wireless networks: vision, gateways/RSUs with MEC servers (ETSI, 3GPP) and 5GAA is considered research activities, challenges, and potential solutions,” Symmetry 2020, Author 12, 676, doi:10.3390/sym12040676 Dr. Arunkumar M. Sampath 3. Y.-C. Hu et al., ”Mobile Edge Chief Engineer and Head Innovation Centre Computing: A key technology Mahindra Electric Mobility Limited towards 5G,” ETSI White paper No. 11, ISBN No. 979-10-92620-08-5 Dr. Arunkumar M. Sampath is a Chief Engineer and Head Innovation https://www.etsi.org/images/files/ Centre at Mahindra Electric Mobility Limited in Bangalore. His interests etsiwhitepapers/etsi_wp11_mec_a_ include Hybrid and Electric Vehicles, Sustainable Technologies, Connected and Autonomous key_technology_towards_5g.pdf o Vehicles, Functional Safety, AI, ML, Data Analytics, and Data Monetization Strategies.
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[email protected] WWW.FMETER.RU EN The Design, Calibration and Application of Traffic Speedmap for Ride Scheduling
Chong Kok Seng; Evgeny Makarov SWAT Mobility
n recent years, we witnessed a gradual passes through a set of waypoints. The routing paradigm shift in personalized transport engine takes into consideration the speed of the services from private vehicle ownership to vehicle vis-à-vis the expected traffic condition of a mobility as a service application (MaaS). A road, the accessibility of the road given the vehicle’s IMaaS provider operates a fleet of vehicles that ferry size, turn restrictions and time penalties associated users from their pick-up locations to their drop-off with navigational maneuvers. To ensure the locations at a time of their choosing. To achieve accuracy of this evaluation, the routing engine taps efficient vehicle utilization and overall economies a database of speed statistics, henceforth referred to of scale, a MaaS service typically employs a routing as the speedmap. and scheduling algorithm to pool a number of users This article describes an approach for designing, who are headed in similar directions at mutually organizing, and calibrating the speedmaps compatible timings. deployed in our real services. Since 2016, we have As illustrated in Figure 1, at the heart of a successfully routed, scheduled and completed routing and scheduling algorithm is an optimization millions of rides with this speedmap approach, in formulation, where millions of solution candidates, numerous Asia Pacific cities such as Singapore, each comprising a permutation of routes and Tokyo, Sydney, Hanoi, Bangkok and Manila. The passengers, are evaluated and scored to derive version of technology presented here has been the most optimal outcome while simultaneously appropriately modified or vaguely described in satisfying a slew of constraints imposed by parts to safeguard our competitive interest, and to passenger bookings, vehicle states, as well as service better serve the intended scope and objective of parameters. this educational piece. To support the evaluation of each solution A speedmap is a database comprising the The key to candidate, the algorithm calls a routing engine to statistics that summarily quantify the traffic speed accurate ride compute the shortest journey time for a route that distribution of a set of roads plied by the vehicles scheduling is a time- dependent speedmap model that differentiates between weekdays and weekends, and among consecutive time blocks of a day
10 | Telematics Wire | April 2021 of a service. The statistics can be the mean, median, for a new area. Over time, service operations would standard deviation and various percentiles of the amass a significant volume of historical speed traffic speed distributions. samples for each way, thereby enabling progressively In the simplest form, a speedmap consists of more accurate statistical quantification in the next a singular, time-invariant average traffic speed for step of speedmap calibration. each road class. The same speed value is applicable The Machine Learning step encompasses to every way belonging to the same road class, day three major processes: statistical aggregation, and night, weekday and weekend. It goes without model training and prediction. In statistical saying that this is hardly realistic for modelling the aggregation, the raw speed samples are grouped traffic situations of most cities. by their way ID, weekday/weekend split and As traffic speeds vary throughout a day and differ time block - collectively known as the grouping from day to day, an alternative, more useful model labels. Statistics like mean and standard deviation for speed statistics is one that differentiates between are then aggregated for each group. In model weekdays and weekends, and among consecutive training, a machine learning model is trained to time blocks of a day. Figure 2 illustrates one such establish a relationship between the underlying database table for storing traffic speed statistics. We map features of the ways, the grouping labels and refer to this design as a time-dependent speedmap. the aggregated statistics. Based on our research, To populate the time-dependent speedmap, map features deemed useful for training include, raw GPS logs of vehicles are processed in a multi- but not limited to, the position, bearing, road step speedmap calibration pipeline. As illustrated class, number of lanes, width and maximum speed To ensure in Figure 3, speedmap calibration comprises a Map of the ways. Groups with insufficient number of Matching step, a Machine Learning step, and finally, speed samples or statistics classified as outliers timeliness a Map Construction step. would be excluded from the training. Finally, in in capturing The Map Matching step converts GPS logs of the prediction process, the trained model is used vehicles into raw speed data by matching noisy time- to predict the statistics for all ways using their the shifts in stamped vehicle positions to the road geometries underlying map features and grouping labels as traffic pattern of a trusted map source, such as OpenStreetMap inputs to the trained model. (OSM). As OSM divides a road into connected Map Construction is the final step of brought about segments called ‘ways’ and assigns a way ID to each speedmap calibration pipeline, where the map by social- segment, map-matched positions along the same data and the predicted speeds are analysed way can be grouped to derive a raw speed for the way to generate additional speed-up information economic segment. The output from the Map Matching stage that allows the routing engine to accelerate developments, is a collection of raw speeds, each characterized by a its search for the fastest route through a set of way ID, a timestamp and a speed value. waypoints. Two renown speed-up algorithms are speedmaps At this point, a chicken-and-egg conundrum Contraction Hierarchies and Multilevel Dijkstra. should be inevitably arises: a speedmap is required to start Contraction Hierarchies exploits the hierarchical a service in a new area, but there isn’t in-house nature of road networks to create direct links periodically historical data available for calibration prior to the between important road nodes; Multilevel calibrated service. This is known as the ‘cold start’ issue. To Dijkstra creates layers of varying road network address this, GPS data can be purchased from third sparsity that can be switched around during a using speed party sources or gathered by putting a few GPS- search. Regardless of the speed-up algorithm data captured logging vehicles on the road. For the services we used, the Map Construction step equips the operate, we adopt such a two-pronged approach in routing engine with the essential data to carry in a recent time building up our initial repository of raw speed data out its path-finding tasks effectively. window
April 2021 | Telematics Wire | 11 information, the route can be scored and compared with another route candidate that serves another permutation of waypoints. For lateness-sensitive services, such as employee transport that ferries employees from their homes to their workplaces, scheduling a route with mean journey time alone makes the service susceptible to variable traffic conditions, thus elevating the risk of lateness for work. With the aforementioned speedmap design, it is possible to alleviate the risk of lateness by estimating journey time pessimistically with the standard deviation data in the route scheduling process. To ensure timeliness in capturing the shifts in traffic pattern brought about by long-term social-economic developments like population growth, urban planning, a shift in regulatory landscape and emergence of new transportation networks, speedmaps should be calibrated on a periodic cadence using speed data captured in a recent time window, spanning several months preceding the date of calibration. Given a series of ordered waypoints, standard deviations of their speeds can be As with most things modelled the routing engine searches for a string extracted from the calibrated speedmap. with historical data, a speedmap, of connected ways that pass through The overall mean and standard deviation notwithstanding its time-dependent the waypoints in the shortest time. The journey time of the concatenated intricacies, isn’t an infallible crystal ball. length of each way can be obtained route can therefore be computed using Cities typically bustle with ad hoc events from the map data, while the means and established statistical theorems. With this - traffic accidents, a sudden rainstorm, a traffic light malfunction, a big truck hogging an entire highway, festive Authors parades or the end of a pop concert – Chong Kok Seng that can occur at various locations during Data Scientist service hours, creating and propagating SWAT Mobility congestion through chain reactions in dynamic, unpredictable and far-reaching Chong Kok Seng holds a bachelor’s degree in Electrical and Computer Systems Engineering and a PhD in Robotics from Monash University. ways. Such ad hoc events can, in reality, While serving as the principal engineer at Panasonic R&D Singapore, he authored and subvert a meticulously laid plan and result co-authored 30+ US and Japan patents. His current position is a data scientist leading the in service lateness. speedmap activities at SWAT Mobility. While complete elimination of lateness is unattainable, occurrences of lateness can be strategically mitigated by Evgeny Makarov factoring ad hoc incidents into the route Head of Data planning process. Additional strategies SWAT Mobility can be put in place to complement the aforementioned pessimistic journey time Evgeny Makarov holds a PhD degree in physics and mathematics approach. For example, extra service time from Nizhny Novgorod State University. Spent about 10 years at Institute of Applied Phyisics, later switched to industrial applications in public and commercial transportation buffers can be allocated to each stop to and logistics. His current position is a Head of Data at swat mobility, leading the vehicle absorb the lateness incurred in preceding routing problem research and optimisation activities. Keeping several worlds’ best journeys, and drivers can be empowered results on logistics optimisation with SWAT team. to seek out alternative routes to help them circumvent visible congestion. o
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Harikrishna Khandavilli Continental Automotive India
digital vehicle key, effectively replacing conventional key fobs. It allows the user to access, unlock and start the car using his or her smartphone. The onboard architecture of the CoSmA solution also features a central electronic computer unit with a state-of-the-art secure element as certified secure storage for any digital vehicle key application. The vehicle owner can generate and manage multiple digital keys and share them with friends or family. As soon as the position of the authorized smartphone is precisely determined, the system allows the vehicle to be unlocked and the engine to be started without having to interact with the smartphone. As soon as authentication is provided by the backend key management system in the Continental.cloud, access to ver the last decade, vehicles three parts: the vehicle is granted. have evolved beyond being ■ How the vehicle interacts with the transportation modes. driver and the environment Smart Mobility While some cars on the road ■ How the vehicle understands the Access to navigation systems and a wealth Otoday are capable of connecting with the needs of the driver and offers solutions of data has enabled a much smarter system environment around them, this number is ■ How the systems are integrated of mobility. Smart Mobility includes growing at a rapid pace. According to few within the vehicle for optimal the collection of data and using the market reports, about 25 percent of the functioning. information to provide valuable insights cars on the road across the world will be In other words, the functions fall and recommendations to the driver and connected by 2025. under - Connect, Inform and Integrate. the vehicle. The kind of data collected and The vehicles of tomorrow will be analyzed is also critical for safety. B2B constantly connected to the internet, Connectivity: The logistics is a good example of the benefits and be autonomous, presenting a Vehicle, The Driver & The of smart mobility. Fleet Management complex challenge to automakers today. Environment solutions that focus on driver & vehicle Autonomous driving requires seamless Connectivity is not merely about comfort safety, maintenance, emissions, and other and secure integration, both internally and infotainment. It is also about safety diagnostics have been deployed across and externally - the vehicle needs and smart mobility. Connectivity is the world. to be able to communicate with the making our vehicles akin to personal As the infrastructure gets better, surrounding infrastructure and within devices. Some features of automotive there are further possibilities in this itself, with minimal or zero inputs from connectivity integrate the smartphone domain, ensuring greater efficiency and the driver or the occupants. For that to into the vehicle. safety. To enable this, we need a vast happen, we need to set the stage today. One example is CoSmA with Ultra- amount of software that helps the various The vehicles of tomorrow will be Wideband technology, which has already components work seamlessly. an integral part of the internet, just as proven its success in 5G and Vehicle-to- Software is the oxygen of the the mobile phone is today. In terms of Everything (V2X). automotive industry today. A vehicle in function, this needs to be explored in CoSmA makes the smartphone a 2021 has over a hundred million lines
14 | Telematics Wire | April 2021 of code, which will only increase as the mode, which can be operated via touch, vehicle architecture gets more complex. and the content is aligned to the user’s A vehicle collects information from preferences. sensors to provide data regarding traffic, road conditions, and other disruptions. Connectivity & Safety It collects data from the environment Many of the features mentioned above and shares information back with the have critical safety functions as well. infrastructure. Even as customers in India demand more As the quantum of such luxury and connectivity features, there is communication exchange increases, the also a conscious ask about safety features. number of components also increases. experience. As we move closer towards automation The amount of data produced also With connectivity entering the vehicle, and autonomous mobility, we also need multiplies exponentially. Naturally, this the traditional interior of the car is to look closer at how connectivity can requires high computing power to ensure undergoing a sea of change. Conventional enable safety. optimal and seamless performance. displays and control systems are replaced The goal is Vision Zero - a future High Performance Computers with digital systems that handle more with zero fatalities, zero injuries, zero (HPCs) are critical to meet the technical complex tasks. These are Human-Machine crashes. This is possible only with a demands of the vehicle. HPCs can Interfaces that are interconnected and can holistic approach encompassing active single-handedly do the work of multiple facilitate better dialogue and information and passive safety systems. This approach independent control systems, which exchanges between the driver and the requires us to consider how we can collect otherwise required several processing vehicle, making the driving experience and analyze safety-related data, and how units and added complexities, thus less stressful and more enjoyable. this can be communicated to the driver paving the way for the future of vehicle A simple example of this is the Natural and the vehicle’s systems to prevent connectivity. 3D Lightfield Display, which allows all accidents and enhance safety. The HPC acts as the ‘electronic brain’ passengers in the vehicle to enjoy a 3D E-horizon is a great example of how we in a vehicle - enhancing connectivity experience without requiring special can achieve this, in conjunction with other and the benefits achieved in safety, glasses or head tracker cameras. This is a technologies. eHorizon is an intelligent information, and seamless mobility. The part of a range of HMI solutions that aim digital map that allows vehicles to see vehicle becomes much like a smartphone at making the overall driving experience objects that are beyond the driver’s sight. - wherein the user can easily install and better. Data is collected through vehicle sensors update apps and other services. It also The display covers the entire cockpit, and stored in the in-vehicle database. allows the user to update the software, which can be changed according to the E-horizon uses the cloud to process all data installs new software, or driving functions driving mode. If the driver is using the from multiple databases that are collected Over-The-Air (OTA) without having to manual driving mode, the screen will from a large group of vehicles. visit a workshop. showcase only relevant information such Processing of this data is carried out HPCs also have the added benefits as speed or navigation data. However, with the support of Artificial Intelligence for OEMs, making product recalls that if the driver is in the automated driving in combination with other technologies, occur due to software errors redundant. mode, the screen changes to infotainment increasing prediction reliability. eHorizon Additionally, HPCs also help in providing a holistic user experience, wherein infotainment solutions can be integrated into the computer. Connectivity: User Experience User Experience - a term previously used in consumer electronics, mobile apps, and websites - has now become a commonplace term in automotive as well. UX, as it is commonly referred to, is a critical factor in the customer’s decision- making process. In the automotive sector, however, UX is not limited to the luxury aspects of the car. The entry of the internet into the vehicle has made it imperative to have a high-quality, digital, interactive user
April 2021 | Telematics Wire | 15 (V2X) communication. Vehicles can communicate with each other and the infrastructure. And much of this will be required to take place in real-time, regardless of the presence of internet connectivity, to ensure a safer driving experience. However, connectivity can pose a challenge in remote areas. In such cases, Cellular-V2X allows an exchange of time-sensitive and safety- critical information, for example - about warnings of potentially hazardous situations, even in areas without mobile network coverage. HPCs form the cornerstone of this future, moving away from distributed to server-based E/E architecture. This gives the vehicles the ability to process multiple terabytes of data and share information almost instantaneously. can be coupled with many technologies. For instance, in The Road Condition Observer, which also uses Electronic Stability Control (ESC) and camera systems, to classify the road conditions as dry, wet, very wet (risk of aquaplaning), snow-covered or icy. Here, eHorizon processes the data collected from the entire vehicle fleet with the aid of Artificial Intelligence and other technologies, which again increases the reliability of these predictions. Connectivity & The Future The features mentioned above require a change in vehicle architecture. Various components, functions, and services need to be integrated into the vehicle, also keeping in mind an optimal price point. With the arrival of 5G technology, we can see a boost in Vehicle to Everything
Author Connectivity’s Potential Harikrishna Khandavilli Connectivity is an integral part of future R&D & Location Head mobility. It has opened doors for smart, Connected Car and Networking (CCN) business unit & convenient, and autonomous mobility, and Vehicle Networking and Information (VNI) Central is enabling a safer mode of transportation Engineering Continental Automotive India with a richer user experience. Thanks to connected technologies, vehicles are Harikrishna comes with nearly two decades of experience in MNCs & Startup arenas, holding becoming computers on wheels, making various leadership roles in the automotive domain. He has been part of the Continental team the driving experience more enjoyable and since 2009, responsible for the growth of CCN (formerly Body & Security) business unit (BU) safer. However, technology can truly be to many folds. He started engineering practices for the business unit with a small team of effective when it is made accessible to all, engineers. Today, the BU is supported by over 550 engineers, working on high-level projects and this is one of the key challenges faced by for global and domestic market needs. the automotive industry: How do we make technology accessible to all? o
16 | Telematics Wire | April 2021 January 2021 | Telematics Wire | 17 How Data management is key to monetize the same?
Markus Pfefferer TIBIL Computer Solutions Pvt. Ltd
t an insidious level, there are ups, alternative mobility operators, data and significant challenge, requiring the far reaching changes taking management services, insurers, roadside development of specific capabilities either place in the ways vehicles and assistance providers, and infrastructure internally by developing digital talent or their components will be built operators will all be players in the car externally by partnering with or existing inA the future. A software-defined vehicle data monetization landscape. However, players in the field. From a skill set point concept is quickly becoming a reality. Cars it is the most traditional of automotive of view in order to monetize any car data and trucks generate enormous amounts of players, who may find staking a claim some basic data management capabilities vehicle and driver behavioural data daily. most challenging. OEMs and suppliers are are required: This data is valuable to carmakers and accustomed to seven-year product cycles, • Collection, cleansing and formatting suppliers, as well as to content and service full control over a stable value chain, of data from a multitude of relevant providers including dealers, fleet operators, consolidated monetization models, and sources - the car, OEM Web site, social insurance companies, retailers, and gas few interactions with end customers. They media and the dealer management stations. However, before this valuable are also used to delivering products and system data can be analyzed or even monetized, services with limited digital capabilities. • Data analysis that applies “big data/ it needs to be harvested from the vehicle. Car data monetization will challenge advanced analytics” techniques to This is going to require massive changes in all of these current realities and compel extract valuable insights from this the way vehicle design is conceptualised. them to undergo a sea change in their wide and complex data landscape Vehicle manufacturers and OEMs are entire thinking process. Besides hugely • Generating insights, which will building a secure and reliable vehicle-to- enhanced IT and data analytical services, ultimately result in deploying cloud data exchange platform not only it will also require a shift from being pure features, products, services, and to collect the vehicle data but to facilitate product company to service providers recommendations to customers and/ software updates and deliver content. who interact with the end consumers and or to business partners to complement Most importantly, all the players in the integrate changes in their products based the offering and refine them to ensure value chain need to take cognizance of the on feedback. that the highest levels of customer fact that the data generated can provide a For traditional players like automobile satisfaction are achieved. valuable income stream. OEMs or tier-1 suppliers, building and However, this shift in an extremely Ultimately, high-tech companies, start- operating service businesses is a new traditional industry is not easy.
18 | Telematics Wire | April 2021 Pushing beyond the basics, making cases as well as, V2X, UBI and in-car Only recently, the leading powersports services, R&D, factories, and channels commerce can be expected to accelerate. OEMs have started equipping their digital ready, especially for traditional According to an Intel study smart flagship models with TCUs. automotive organizations – is resulting vehicles will produce 4TB of data for The ability to monetize car data hinges in a fundamental paradigm shift in the every 1.5 hours on the road. With that on the technological development and automotive sector. Industry executives volume of data, the next challenge customer acceptance of in-car technology concur that organizational complexity for automakers will be how much and the interconnections of the various and a lack of specific digital skills information is openly available to third data sources and data management tools. fundamentally can still delay OEMs’ parties while also securing the system For instance: ability to innovate at the rate of nimbler from misuse. One emerging strategy Vehicle technical sensors monitor high-tech players and start-ups. takes some of the heavy-lifting off the the vehicle’s performance status, track Besides changes within the telematics control unit (TCU) by malfunctions, and enable remote/ organisation, technology, market, and processing only real-time needs locally predictive maintenance capabilities. regulatory trends will also make strategic and passing subsets of data to the Moreover, collecting data on running cars collaboration increasingly necessary. cloud. More complex AI and analytics allows OEMs and suppliers to observe Openness and agility in creating can unburden the TCU by making how their products withstand usage and partnerships in R&D and sales channels use of ultra-low latency Network Edge establish a clear cause-effect relationship development will be required to succeed. Compute technologies. for breakdowns. However, setting the We are witnessing therefore an enormous There are a number of ways to type and frequency of data gathering mind set change in the automotive monetize vehicle data. The two main and integrating the findings with R&D industry, in what used to be an extremely categories are of course cost savings and processes represents a challenge that traditional, closed ecosystem. new revenue generation. OTA software OEMs and suppliers are still tackling. However, path breaking as these updates and early recall management Environment sensors detect data changes may seem, there has already can save automakers millions of dollars. related to whatever is around the car. been some progress made in the field. Real-time data feeds will also help their For instance, the road, weather, nearby A multitude of use cases already exist in R&D efforts tremendously. Interestingly, vehicles and other hazards as well as inside today’s market. Connected car services although cars have been equipped with the car – the driver, passengers, and the such as remote diagnostics, remote some tools of data mining, two wheelers cargo. vehicle control, eCall, Bcall and Real- remain largely untapped. Two-wheeler For instance, a set of sensors could time traffic monitoring have already seen users will definitely benefit from their be fitted to monitor the driver’s physical increasing adoption of trends among riding behaviour analysis and custom condition vide his vital signs (e.g., heart the consumers. And going forward, UBI offers. Thus, while modern cars rate, blood pressure) or even his sobriety. with the advent of 5G technology in the come with factory-installed TCUs, this Monetization opportunities here will automotive ecosystem, a further increase is not the case for motorcycles, scooters, largely depend on the degree to which in adoption rates of other potential use ATVs and other powersports vehicles. customers are willing to share bio-
April 2021 | Telematics Wire | 19 Smart-road infrastructure. One of the biggest challenges as costs to fit the road system are likely to be significant With the increasing proliferation of new and hence multiple questions about financing the investment by cash-strapped features and services, car data will become governments and municipalities have yet a key theme on the automotive industry to be fully answered. Big data analytics. While Industry agenda and – if its potential is fully players are already developing internal realized – highly monetizable competences in advanced analytics that will enable them to leverage this strategic asset, a lot of heavy lifting will still need to be done by tech companies and tech start- ups to bridge the gap. information about themselves and their onboard and who has access to it (e.g., Data cloud. The required capacity and passengers. insurers) as well as ensuring that this data redundancy, security levels, and access HMI and customer ID. The HMI is is protected. rights are often the critical elements to be the set of technologies by which end Beyond the processors, sensors, and determined. customers access and activate the vehicle’s gateways with which the vehicle itself High-definition maps. Highly features and receive the outputs of the is equipped lies a network of external accurate 3D map used in autonomous vehicle’s computing system in response. technologies that are linked to the road driving, containing details not normally Buttons, touch screens, voice itself or related to the operation of the present on traditional maps. Such maps commands, and visual or gesture in-car technologies. The development can be precise at a centimetre level. HD recognition sensors are among the of these infrastructure technologies are maps are captured using an array of technologies that must be reimagined fundamental to car data monetization. sensors, such as LiDARs, radars, digital to create an optimal user experience High-speed data towers. An adequate cameras and GPS. Connectivity concerns the link between coverage is the key to maintaining Software platforms Questions the vehicle, its onboard sensors and continuous and reliable performance. regarding the reliability of OTA software devices, and the Internet. The gateways The deployment speed and cost of updates and which of them consumers of connectivity include Wi-Fi, Bluetooth, the towers are central issues. For this will pay for are fundamental to successful USB, RFID, and radio. reason, an array of alternative connectivity car data monetization. However, it is perhaps the high-speed technologies (e.g., satellite based) are Location/navigation. Which map’s 4G/5G modem gateway that comes being explored for low-density areas. “technical archetype” to adopt, how maps with the biggest challenges. As vehicles V2X communication. The successful are updated, and how vehicle location travel, geographical gaps in high-speed transmission of traffic, safety, and social (i.e., GPS) information is stored, shared, data connectivity become an issue data may depend, in large measure, on and transmitted are among the critical that must be resolved, along with the the development of standard formats decisions going forward for industry significant cost of continuousdata and frequencies that facilitate this players. connectivity. communication. The standardization of With the increasing proliferation of Onboard data storage is the local communication protocols represents an new features and services, car data will hardware repository for data generated by ongoing challenge for industry players, become a key theme on the automotive the vehicle. even more so considering the safety- industry agenda and – if its potential is Necessary developments in this area critical communications for autonomous fully realized – highly monetizable. It is include determining which data is stored vehicles. estimated that by 2030 a total revenue of 750 billion by 2030 can be generated by Author data enabled services. What this means is that this will lead Markus Pfefferer Managing Partner to an unprecedented explosion in car- TIBIL Computer Solutions Pvt. Ltd generated digital data, with significant implications not just for the traditional Mr. Pfefferer, Managing Partner at Tibil Solutions has particular automotive industry businesses but also expertise in global strategic planning throughout several industries for new players. Companies representing including technology, renewable energy, automotive, heavy engineering. Specializing in high-tech, insurance, telecommunications, market development and implementation of business plans, product development, and and other sectors that at once seemed, management of international business development; Mr. Pfefferer has been influential at most, “automotive adjacent” will play when partnering with clients in establishing business strategies throughout Europe, critical roles in enabling car data-related Middle East and Asia Pacific. services and monetize the same. o
20 | Telematics Wire | April 2021
Big Data Needs Big Security
Steve Johnson, CISSP, CVP; Jess Baker, SEP HNTB Corporation
How the “Connected CC and within the red circles, the points threat vectors becomes apparent. Car” introduces a broad of interaction where CC introduces a Vehicle System Security: Vehicles spectrum of security, large, exponential expansion of the threat systems used to be simple, consisting safety, privacy, and legal surface to the TMS and vice versa. of body structure, propulsion, driver vulnerabilities “The introduction of Connected Car and control, signaling, and comfort/cosmetic. The first 3 Telematics Wire issues of Big Data offer great benefit to the industry, The hacker of those days put sugar in your 2021 covered AV, ADAS and CV. This safety, mobility, the environment, quality gas tank. But the modern vehicle can have issue focuses on huge data generated by of life, and the economy; the flip side of the more than 100 CPUs and millions of lines these systems and many of the significant coin however, is an equally great expansion of code. See figure 2 for a comparison with positive benefits to the industry and of risk and vulnerability” other control systems. By now, everyone society through the analysis and Space will not permit the discussion of has heard of the Charlie Miller team’s hack application of this “Big Data”. As such potential solutions for protection against on a private vehicle on 3 occasions. The first the authors of this article will not venture these threats; therefore, we will present couple were line of sight in a parking lot. But into those areas. Rather, we present an overview with a few examples and the lessons learned there along with some some cautionary thoughts on the need close with a suggested reading list and online research allowed them to conduct the for robust and holistic security postures resources for specialized assistance. We next exploit from 10+ miles away via satellite to protect this data and the exponential offer examples impacting System Security, comms, to among other things, shut down growth in threat surface it introduces for a Safety, Privacy, and Liability the engine. My co-author will present the multitude of stakeholders. For the context System security. System security safety impact of that in the following section of this article, the authors use Connected involves the efforts taken to prevent Traffic Management System Car (CC) to refer to all the CV, AV, the discovery and exploitation of Security: Traffic signal security was for ADAS, Telematics, Infotainment, cellular, vulnerabilities to escalate privileges and many years ruled by the “security by Wi-Fi and other plethora of “connected expand access to the larger system and its obscurity” principle. No one knows what’s features” of the modern vehicle. external connection to other systems. With in there and doesn’t care. So, we added A high-level overview of the impact vehicles connecting to intersections and a simple lock with an industry standard to a typical transportation management TMS connecting to Big Data entities to key (author once opened a traffic cabinet system (TMS) is shown in figure 1. In share the vehicle data, as depicted in Figure in Trinidad with his key) and stuck our the black box is a typical TMS without 1 below, the potential for newly opened collective heads in the sand. Many still exist in this state but agencies have gotten the message and are scurrying to provide a better mouse trap. Even with the best of locks, today’s environment is rife with opportunities for intrusion. One can simply idle nearby and hack in wirelessly or use a connected car to gain access. The City of Tampa, FL, a forward thinking, innovation-embracing agency, provided a standard traffic signal cabinet configuration for vulnerability testing. A white-hat hacker with no previous knowledge of traffic control systems was quickly able to penetrate the system, determine its use and take full control of the intersection (lab setting), including changing the light cycles and shutting the signal down. Tampa quickly moved to Figure 1 become one of the most protected signal
22 | Telematics Wire | April 2021 encrypting messages, randomizing the identifier and a checksum on input data would serve to close that open door. It may seem inconsequential, but an alert showing tires are critically low can cause a driver to pull over and there are many reports showing the efforts highway robbers go through to get people to pull over. This is not just a safety risk. Consider Figure 2 the time and expense of unsuspecting owners who take the vehicle in for service systems in the U.S. as a result. A research flaws that granted remote access to Tesla, or the cost of OEMs servicing vehicles project sponsored by the Transportation an OEM heavily investing on advancing under warranty. In addition, consider the Research Board in 2019 discovered a autonomous vehicles.5 loss of trust in the auto manufacturer and vulnerability in one vendor’s software that Although autonomous vehicles (AV) innovative technology. allowed for green/green conflict override, are expected to significantly reduce crashes, Policy reform is needed that considers which is a good segue to my colleague’s there are legitimate concerns surrounding and defines software as a safety-critical section on safety impacts. the over-the-air updates required to maintain component within a vehicle to be Safety Impacts: As auto OEMs the hardware system and features. If hackers regulated, in addition to the existing evolve connected vehicle services to can access a vehicle’s safety-critical system material and mechanical regulations that enhance the traveler experience and today, consider the impact if an attacker exist over the design and production of improve safety, manufacturers face the gains access to a driverless vehicle operating automobiles, to ensure public safety. challenge of prioritizing digital security in a dense metropolitan area or worse, a In 2017 the SELF DRIVE Act introduced in vehicle design to safeguard those safety coordinated attack on an AV Rail fleet with the first cyber security regulation in the U.S. advantages. A recent survey partnered multiple passengers. Consider the 20,000 but only required “a cyber plan” that explains by Synopsys and SAE International users of the Protrack GPS app who were how the auto OEM identifies, assesses, and shows that 84 percent of professionals hacked in 2019, showing how through the mitigates potential vulnerabilities from responsible for assessing the security of app an attacker could remotely shut down cyber-attacks or unauthorized intrusions automotive components report concerns vehicle engine.7 to protect a vehicle from receiving and that “cybersecurity practices are not Safety continues to be a significant responding to malicious control commands keeping pace with evolving technologies”.1 concern in the auto manufacturing design or fake messages6. The AV START Act in Basic security design principles can be process. Since wired connections can be 2018 and the SPY CAR Act of 2019 are relatively simple to implement, yet costly to challenging to implement and impact fuel new bills, but the drafts have not succeeded overlook in terms of lives lost and monetary economy, in-vehicle wireless subsystems yet.8,9 damages. Consider the recall for 1.4 million continue to increase. This includes sensors The National Highway Traffic Safety vehicles Fiat Chrysler Automotive issued in for managing pressure and temperature, Administration (NHTSA) maintains a 2015 after cybersecurity researchers Charlie chemical and gas, position and proximity, database that consumers can access to Miller and Chris Valasek demonstrated and many other sensors rely on Bluetooth remain informed on vehicle safety ratings, how to hack a Jeep Cherokee remotely or RFID for non-critical features.3 defects, recalls and more: https://www. to disable the brakes, transmission, and A study funded by the National safercar.gov steering while driving in reverse. Again in Security Foundation and Army Research Privacy Impacts: In the U.S., recent court 2016 they showed how connecting to the proved that in under a week a vehicle tire cases have ruled that geolocation over time vehicle OBD-II port granted access to safety pressure monitoring system (TPMS) = PII (personally identifying information). subsystems, allowing incredibly dangerous could be reverse engineered. At 40 Privacy advocates around the globe have maneuvers to be carried out, such as meters, a 125kHz activation signal could differing concepts on what constitutes enabling a parking brake and controlling the trigger the sensor to transmit data. privacy, and the trade-off in relinquishing steering at high speeds, disabling the brakes Transmissions were sniffed and decoded some amount in exchange for safety and at low speeds, even causing the vehicle to to create a forged message broadcast to efficiency. The author’s direct experience accelerate and slam on brakes.3 the vehicle. The attack was able to trigger a in one connected vehicle project was that In 2018 BMW issued a silent over-the-air low-pressure warning light and the central a few visitors from Asia were shocked and update to patch 14 vulnerabilities affecting warning light on a vehicle traveling at surprised by the effort put into preserving vehicles dating back to 2012 allowing both 55 km/h and 110 km/h.2 privacy while Canadian guests felt we had hackers to remotely gain control of CAN Intentional security means considering not gone far enough. But even the most stoic buses and execute arbitrary, unauthorized the impact of plain-text, unauthenticated about it did recognize that the emerging diagnostic requests while gaining local and messages, factoring in its broadcast range, technologies driving Big Data inherently remote control of the infotainment system.4 and making intentional design choices include the risk of privacy loss. The same security research firm exposed to circumvent such risk. In this scenario, The U.S. Department of
April 2021 | Telematics Wire | 23 Transportation (USDOT), in deploying (OTA) broadcast as the media for firmware Security and privacy vulnerabilities 3 pilot CV programs made privacy upgrades and that the fleet owner was also of in-car wireless networks: a tire a key concern, requiring a series of liable because they did not properly protect pressure monitoring system case deliverables supporting its preservation. the system which re-broadcast those updates study. Proceedings of the 19th Additionally, an Institutional Review to the trucks, nor did they have a way to USENIX conference on Security Board was required for ethical oversight override the remote lockout control system. (USENIX Security’10). USENIX of the enrollment and treatment of The defendants both argued that the hacker Association, USA, 21. private citizen participants; further, both (an unidentified co-defendant assumed 3. Mordor Intelligence. 2020. Wireless the USDOT and the SAE made vehicle to be a nation/state) had conducted such Sensors Market – Growth, Trends, anonymization a key requirement in the a sophisticated attack that no reasonable COVID-19 Impace, and Forecasts technical standards for connected vehicles prevention was available or practical. (2021 - 2026). Retrieved from: https:// (SAE J-2275, J-2945 and IEEE 1609.x). In the author’s view (perhaps biased), www.mordorintelligence.com/industry- Despite these best practices, additional the pre-scripted arguments leaned heavily reports/wireless-sensors-market protections had to be considered after a in favor of the defendants. However, despite 4. Keen Security Labs. 2018. paper was presented during the 2020 TRB that, 2 of the 4 empaneled juries levied at Experimental Security Assessment annual meeting that demonstrated how least some portion of liability (10% and of BMW Cars. Retrieved from: previously anonymized vehicles could 15%) upon the OEM and fleet owner. https://keenlab.tencent.com/ be re-identified using data visualization This is a good indication that liability issues en/whitepapers/Experimental_ tools. This, coupled with concurrent use of will continue to evolve as rapidly as the Security_Assessment_of_BMW_ metadata and the always evolving hacker technology itself and both legislators and Cars_by_KeenLab.pdf community, means that privacy will remain Courts will be hard pressed to keep up. 5. Keen Security Labs. 2017. New a concern for the foreseeable future. That “2 of the 4 empaneled juries levied at Car Hacking Research Remote doesn’t even begin to consider the amount least some portion of liability (10% and Attack Tesla. Retrieved from: of data motorists are willing to hand over via 15%) upon the OEM and fleet owner” https://keenlab.tencent.com/ insurance company data loggers in exchange As the authors have presented only a small en/2017/07/27/New-Car-Hacking- for a policy discount. sample of the admittedly large potential for Research-2017-Remote-Attack-Tesla- Legal Impacts: The Autonomous vulnerability, and no deep dive on potential 6. 115th Congress. 2017. H.R. 3388 Vehicle Summit (San Diego, 2020) solutions due to space limitations, we do SELF DRIVE Act. Retrieved presented a mock trial involving the offer the below list of sources referenced and from: https://www.congress. malicious hack of a fleet of autonomous some starting points for further reading. gov/bill/115th-congress/house- semi-trucks that resulted in concurrent loss 1. Synopsys, Inc., SAE International. bill/3388/text#toc-H23AFE3D58C of control of all active fleet vehicles on the 2018. Securing the Modern Vehicle: A64E6DA0C6189D566BF453 road upon reaching a zero day event. Author A Study of Automotive Industry 7. IEEE. 2019. How Can Autonomous Johnson was called as an expert witness for Cybersecurity Practices. Vehicles be Protected Against Cyber the plaintiff and 2 others were called by the 2. Ishtiaq Rouf, Rob Miller, Hossen Security Threats. Retrieved from: co-defendants. The plaintiffs argued that the Mustafa, Travis Taylor, Sangho https://innovationatwork.ieee.org/ OEM for the vehicles and control system Oh, Wenyuan Xu, Marco Gruteser, how-can-autonomous-vehicles-be- were liable because they chose over the air Wade Trappe, and Ivan Seskar. 2010. protected-against-cyber-security- threats/ AuthorS Suggested Reading Steve Johnson, CISSP, CVP • ENISA GOOD PRACTICES FOR Associate VP SECURITY OF SMART CARS, Connected Vehicle Program Manager and National November 2019 www.enisa.europa.eu Cybersecurity Practice Lead • Securing the Modern Vehicle: A HNTB Corporation Study of Automotive Industry Cybersecurity Practices, SAE and A recognized international thought leader in connected vehicle technology and cybersecurity, Steve was the program manager for the USDOT CV Pilot deployment Synopsis, 2018 www.ponemon.org in Tampa, FL and currently provides cybersecurity consulting to State and Local • Beyond Car Hacking: The Cyber Transportation Agencies. Threat Landscape for Automotive Companies www.insights.com Jess Baker, SEP • National Highway Traffic Safety Emerging Technology and Mobility Solutions Administration. (2016, October). Practice Lead Cybersecurity best practices for HNTB Corporation modern vehicles. (Report No. DOT HS 812 333). Washington, DC: Author. Jess is a thought leader and technical lead of a practice providing https://www.nhtsa.gov/sites/nhtsa. national consulting to State Departments of Transportation and Toll Agencies on matters dot.gov/files/documents/812333_ of connected and autonomous vehicles, mobility as a service and cyber-physical security. cybersecurityformodernvehicles.pdf
24 | Telematics Wire | April 2021 EXCEPTIONALLY TOTALLY RELIABLE EXTREMELY PRECISE ROBUST IP69k 99.5%
OMNICOMM LLS 5 LEGENDARY SENSOR'S SUCCESSOR
For every business that operates a fleet of vehicles – Unlike common capacitive sensors that contain whether trucks, locomotives or ships – where having a single measuring tube, OMNICOMM LLS 5 sensors a handle on fuel costs is critical. contain two tubes that memorize ‘empty’ and ‘full’ values. The primary tube measures the parameters For every industry that faces unexpected fuel shor- of the current fuel, while the reference tube stores tages, causing expensive and even life- threatening information about the initial calibration fuel. power interruptions: hospitals, construction sites, manufacturing facilities, bank branches The sensor analyzes the difference between and data centers. the properties of the current and the reference fuel and auto-adjusts proportionally, compensating for any measurement error. Unique FuelScan® www.omnicomm-world.com technology guarantees unprecedented [email protected] accuracy of 99.5% in all conditions. Range Controversy: A Vehicle Data Monetization Opportunity
Mohan Satyaranjan Taqanal Energy
he TATA Nexon EV “Range” However, he problem of estimating each battery. With knowledge of history controversy has been a topic range in EVs is fairly complex: of each battery, and that of a large number of hot debates in recent times. 1. Estimating the “Remaining Useful of other batteries, the SoC accuracy for ARAI certified the “range” Charge” in the Battery is often done each battery improves significantly. Like Tof the vehicle as 312 Kms. However, a using estimating the “State of Charge all Machine Learning applications, the customer sued TATA Motors because he (SoC)”. Estimating SoC accurately is SoC estimation accuracy improves with did not get the claimed range. Several other a known challenge. the amount of historical data from a large customers joined the chorus. The Delhi 2. Range estimate at any moment depends number of connected batteries. government delisted it from its subsidy on current load, ambient temp., route As these computations are done in scheme, and court provided interim relief. (elevation, road/conditions), wind- the cloud, where memory, and CPU Accuracy of prediction of “range” direction/speed,...), time of the day, resources are not a constraint, the SoC is not such a big deal in ICE (Internal driving mode & style... estimation accuracy is significantly higher, Combustion Engines; such as Petrol/ and keeps improving with time. Typically, Diesel engines) vehicles due to ubiquitous Estimating Useful Range/ the current estimate is sent to the battery presence of gas stations. However, a Soc Accurately at regular intervals, ensuring an accurate vehicle with better fuel economy is Modern BMS’s (the Battery Management estimate of the remaining charge in the more desirable. In case of EVs, customer System inside batteries that controls, battery is available at all times. expectation about “Predicted Range” charging/discharging of the battery, Battery is the most expensive part in any accuracy is higher. “Higher Range ” monitors all key parameters, and performs EV. To keep costs low, many a times, they requires bigger batteries, increasing the operations to keep the battery in an are not instrumented well enough. Worse, cost of the vehicle. Batteries constitute optimum state of safety, and operation) a lot of times, there is no way to find out more than 50% of the cost of an EV. maintain an estimate of SoC. The the goings on inside a battery; there is no Having paid more, just for a bigger range, algorithms that estimate SoC have been way to communicate with the battery. Poor customer expectations around accuracy growing in sophistication, and estimation instrumentation, lack of visibility, inability of “range claim” are higher. accuracy. For higher accuracy, the to get sufficient data, and process it not The controversy around TATA algorithms need detailed historical data. only inhibits accurate SoC, it also results in Nexon EV’s range arose due to customer However, due to memory & compute compromised safety, reliability, and long- perception of the OEM’s claim of range limitations on the BMS, it is not possible term TCO (Total Cost of Ownership). Is it so difficult to accurately estimate the to keep large amount of historical data, In the past, the engine was given a divine remaining range? and process them. This limitation is status: auto-owners were preached to offer Good solutions are available, but they overcome, by sending all the data collected the most expensive “synthetic motor oil” require instrumentation & computing. in the BMS to a “Cloud” (a remotely to the presiding deity in the vehicle with All these solutions, work on the basic accessible infrastructure where large religious punctuality. In an EV, the battery principle of measuring the amount of fuel amount of data can be stored, and vast rightfully deserves the status equal to or left in the tank (or charge in the battery computations can be done economically. better than an engine in an ICE vehicle. in case of an EV), and estimating the In the Cloud, incoming data from the Typically, cloud-connected vehicles distance the vehicle can go on that fuel. BMS, and past data is continuously do much more than just SoC/Remaining Fairly accurate measurements of fuel analyzed. Typically, a very large number Range estimation. All the measured data is in the tank, average fuel consumption, of batteries send their data individually to continuously analysed to predict any failures, and current fuel consumption have been the cloud, and similar algorithms work on and preventive maintenance is advised to available in mid-range ICE vehicles for a data coming from each, and every battery. eliminate breakdowns. Some of the data & while. Also, as gas stations are ubiquitous, The Machine-Learning based models in analytics are used by the OEM, some by there is less anxiety about “how much will the cloud continuously fine-tune their the service stations, some by the parts/sub- my vehicle go in reserve”. algorithms for determining the SoC for system makers, some by law-enforcement,
26 | Telematics Wire | April 2021 some by neighbouring vehicles, some by above (such as road conditions, elevation) consumption/range estimation in an ICE insurance companies… The following can change during that interval. Ideally, engine vehicle is far more error prone, sketch depicts the general use case: the sampling rate should increase with as they consume fuel while idling too. increasing speed. EVs (unless using AC/Lights) don’t use Remaining Range Cost-effective sensors are available any energy while stopped. People don’t estimation at any moment to measure most of the parameters. complain about poor range prediction “Remaining Range” depends on a lot Instrumentation in vehicles has already in ICE vehicles due to ubiquity of gas of factors that change dynamically: been increasing to introduce ADAS. stations. Absence of fast charging stations Load, Road conditions, wind-speed, Algorithms are available to use all the makes “Accurate Range Prediction” a wind-direction, ambient temperature, measurements, and refine the estimate of necessity in EVs. elevation, time-of-the day, driving-speed, current & projected energy consumption. With a well instrumented, cloud- and driving style. Combining it with an accurate estimate of connected battery, instrumentation in Larger the number of passengers SoC at the moment, it is easy to provide the vehicle, and a combination of cloud- or payload, larger will be the energy an accurate estimate of range. computing, and on-boarding computing it consumption. Bad roads cause more is possible to estimate “Remaining Range” friction, and more energy is consumed Summary with a very high degree of accuracy. As traveling on those. If the wind is favorable, Range” is dynamic. It changes with current OEMs introduce ADAS related features, and blowing in the direction of the vehicle, load, ambient temp., route (elevation, sensors needed to measure parameters less energy will be consumed. Batteries road/conditions), wind-direction/ needed for these computations are likely have different behaviors at different speed...), time of the day, driving mode & to become standard. Algorithms already temperatures. Climbing to a hill station style...Technology exists to predict range exist. EV OEMs should consider making can consume significantly more energy accurately, at every moment in an EV. It their customers happy with the “Accurate (while coming down can generate energy changes, if conditions change. The fuel Remaining Range” feature. o in an EV, and charge the batteries). Time of the day makes a difference too: Headlights Author consume energy during dark conditions & temperature varies during the day. Mohan Satyaranjan Driving in economy modes can return CEO significantly higher mileage than driving Taqanal Energy in Sports mode. Energy for all loads (AC, heating, lighting, wipers, infotainment, Mohan Satyaranjan is currently an entrepreneur focused on developing technology to address barriers to EV adoption. He is ADAS…) comes from the battery, and CEO@Taqanal Energy, a company innovating in the area of “Cloud Connected Energy affects the range. Storage Systems”. Prior to turning an entrepreneur, Mohan spent more than 35 years in All the parameters affecting energy Networking & Telecom R&D. He built ‘billion+ dollars a year’ product lines, from scratch, consumptions need to be measured at at both Cisco Systems, and Juniper Networks. He has held director, and above positions frequent intervals. A vehicle going at at NetApp, Juniper Networks, and Cisco Systems. At Motorola he played a significant role 60KMPH covers a distance of 16.67 Kms in developing the world’s first GPRS capable subscriber device. every second. Some of the parameters
April 2021 | Telematics Wire | 27 Perspective
How can the Telematics Industry Spur the Electric Vehicular Revolution?
Tushar Bhagat director, Uffizio India
Why choose EVs? charging up to 200 miles in less the EV characteristics and metrics. Real- than 15 mins--so you never get time data and analytics insights will be Lower Carbon Footprints: stuck! ( https://www.tesla.com/ valued like never before, and the world • As opposed to internal combustion supercharger) is counting on the telematics industry to engines (ICE), electric drive vehicles make this happen! employ electric motors for propulsion. Efficiency Hence, making electronically • EVs convert 77% of electric energy Energy Metrics and the powered cars extremely pertinent to while an ICE converts only 12- State of Charge all discussions of global sustainability. 13%. Hence, EVs are four times With EVs, fleet owners will no longer • In the wake of climate change and more energy-efficient than gas cars. have to worry about fuel theft. Hence, the ongoing energy crisis, EVs reduce (https://www.fueleconomy.gov/ making fuel monitoring and fuel sensors human reliability on fossil fuels and feg/evtech.shtml#:~:text=EVs%20 obsolete. However, EV’s battery life non-renewable sources of energy. have%20several%20advantages%20 and the state of charge raise a cause of When compared to gas-powered cars, over,to%20power%20at%20the%20 concern. Every EV user needs to know EVs emit zero localized emissions— wheels. ) how long can their EV be on the road meaning no more charry smog • EVs are quieter, drive smoother, and before they need recharging. Real-time discharge from car exhaust pipes! have a stronger acceleration than data can supplement users’ understanding ICEs. EVs have greater torque and can of charge levels and help them resolve Affordability and Feasibility: accelerate from 0 to 60 mph in less charging issues proactively. • EVs are easy on your wallets too! A than a second. study conducted by the Transport • Unlike ICEs, electric cars deploy Battery Life Research Institute of the University regenerative braking that recovers Besides, it is crucial to understand charging of Michigan conclusively reports EV energy—that would otherwise get processes and monitor potential mistakes. operating costs to be half as much as lost. EVs retract Kinetic energy EV batteries can cost a fortune, so owners gas-powered cars. produced by the forward motions of would want to reduce their maintenance • Besides, the rapid and widespread the car and utilize it for braking. and replacement costs. To lengthen battery development of charging • Also, regenerative braking takes a life, one must prevent over-charging or infrastructure and replaceable lesser toll on brake shoes and wheel battery drainage. For instance, it is tempting batteries has eliminated EV tires. Hence, consequently lowering to overuse the fast charging mode or use transportation anxiety. your vehicular maintenance costs. counterfeit charging accessories. Such • Supercharging stations facilitate actions may seem cost-effective but can How can the Telematics adversely affect an EV’s battery life. Hence, industry help? there is an excessive demand for solutions Author Unquestionably, the EV era poses a that maximize battery utility and improve new set of challenges, and resolving its functionality. Tushar Bhagat them is quintessential. The telematics The Telematics Industry should Director industry needs to do the spadework and brace itself for swiftly changing Uffizio India rapidly adapt to this foreseeable change. modes of transportation. The future Software Pvt Ltd Developers of satellite monitoring of transportation belongs to Electric platforms need solutions that incorporate Vehicles, and that future is here! o
28 | Telematics Wire | April 2021 WIRELESS CONNECTIVITY 5G, LTE, 2G, 3G, Bluetooth, Wi-FI
SAFETY AND DRIVER AIDS RADAR, GNSS, e Call, ERA-GLONASS,TPMS,RKE, NG-eCall
IN-VEHICLE NETWORKS Antennas, Connectors, RF Cables, Ethernet, Optical Fibre
INTELLIGENT TRANSPORT SYSTEMS V2X, DSRC, 802. I I p
ELECTROMAGNETIC INTERFERENCE OTA, EMC, EMI, Interference Hunting
January 2021 | Telematics Wire | 29
Anritsu_atrJan'20.indd 1 1/3/2020 1:09:00 PM The Big Opportunity – Vehicle Data Monetization
Vishal Sanghavi Aranca
New Business Adjacencies for Car some of the recent initiatives undertaken by the Manufacturers government. Conventionally, OEMs generate the majority • OEMs: In 2019, less than 5% of new cars had of their revenue through sales of vehicles and connected features, and now that number aftermarket services. However, new revenue has increased to over 15%. Both car and two- streams are emerging as car manufacturers invest in wheeler manufacturers are recognizing the new business models such as mobility-as-a-service opportunity and launched over 25 new models and vehicle-as-a-platform. with several connected capabilities. Hyundai, On average, conventional businesses account for Suzuki, Tata, and Hero are a few prominent over 90% of revenue generated by manufacturers. manufacturers that have introduced connected However, by 2035, this share is expected to shrink technologies in their vehicles. to about 70% as new business models gain traction. • Telecom companies: Communication is crucial Mobility-as-a-service has witnessed rapid growth to facilitate data collection; hence, telecom in the past five years through services such as ride companies such as Vodafone Idea, Airtel, and sharing, ride hailing, and subscription. Jio have developed solutions for automotive Vehicle-as-a-platform is a relatively new IoT. Vodafone is leading the market with concept with less than one 1% share in total major partnerships with Hyundai, Suzuki, In India, automotive revenue. However, this segment is and Mahindra, to name a few. Airtel recently indirect data expected to grow to 7% by 2035 (1.3x growth year- announced a partnership with Morris Garages. on-year), making it the fastest growing business • Data aggregation: Companies such as Rollr, monetization model. This business segment is categorized by Here Technologies, C.E. Info Systems Pvt Ltd is gaining two revenue streams: data monetization and (MapmyIndia), and Deduce Technologies are platform-as-a-service. providing platforms that enable collection, considerable Europe and the US are currently leading the storage, and analysis of data. popularity, data monetization landscape. On the other hand, • Hardware providers: From infotainment system in markets such as India, the opportunity is still in manufacturers to telematics hardware suppliers, creating many the early stages, with major focus on infrastructure companies are developing products with 4G opportunities development for connected technology. and 5G capability for data communication. The data analyzed is being used by several over the last Data Generation: Tapping New customer segments such as OEM, insurance, Revenue Streams few years. banking and finance, e-commerce, media, and Data is a direct byproduct of connected technology, advertisement. However, and given technological advancement, several Data Utilization Models the market companies in India are eager to tap the potential opportunity. There are two broad applications of data: for direct Five key entities are working toward • Indirect monetization: Data analysis is monetization is development of the market. important to improve the overall efficiency of • Government: The Indian government and business performance, which results in indirect in its nascent several agencies are recognizing the value of realization of revenue generated. stage, with data and implementing various programs that For instance, to enhance supply chain efficiency allow private companies to utilize data to create through predictive maintenance, several OEMs limited use business value. AIS 140 mandate, bulk data have developed inhouse algorithms that predict cases and few sharing policy, IRDAI’s provision for usage- potential component failure through data analysis. based insurance (UBI), and proposal for ease This data is relayed across the supply chain to partnerships of access to satellite remote sensing data are ensure parts availability, optimize inventory,
30 | Telematics Wire | April 2021 schedule repair services, and even and mid-term loans from banks for For OEMs, the key opportunity is in facilitate payment or insurance. purchasing/leasing vehicles for logistics indirect monetization that adds value Use cases include fleet telematics, and distribution purposes. A key to consumers or end users through insurance, financial services, diagnostics, challenge for the banks is to evaluate the solutions, this directly results in a stronger supply chain solutions, connected potential return on their investments and brand and increased revenue. Revenue driving, autonomous solutions, urban the risks associated. generated through direct monetization is mobility, dealerships, among others. Real-time and historic data of vehicle relatively low and mainly aimed to recover • Direct monetization: Another key location and odometer readings, among infrastructure costs. application, which is relatively new others, helps banks run an algorithm that For data aggregator companies in the market, is the direct sale of defines the potential returns and tracks there are two key opportunities, data data collected. In these cases, data non-performing assets (which are seized analytics, and software as a service. is directly sold to end-use customer in case the company defaults on loan Data analytics is done through software segments. payments). which are predominantly designed New-age companies such as Otonomo Insurance: Insurance claim fraud with machine learning, Big Data, and and Wejo are gaining popularity by is increasing in India. For vehicles artificial intelligence. These software developing robust use cases that deliver alone, 90% of frauds are due to padding are also offered to companies for their value for enterprises through analysis of claims (adding vehicle damages, data processing and provide additional data collected by OEMs. injuries, and fictitious passengers to sources of revenue. For instance, location-based data from claims). Therefore, data-driven collision The Indian market for vehicle data vehicles is used by companies such as analysis can help companies accurately monetization is expected to grow MapmyIndia to develop insights on traffic, determine the potential cost of repair and exponentially to reach over USD and several players use these solutions reimbursement. 500 million by 2025. Revenue is a to plan their logistics and warehousing. Such connected features reduce the product of average revenue generated Such data is also utilized by government claim cycle time and increase the overall per vehicle per month and number of agencies to plan infrastructure projects. process efficiency, which in turn adds vehicles. Manufacturers can develop Use cases include driver/rider value to businesses and consumers. robust monetization models to generate profiles, media & advertisements, maps Traffic: Companies such as revenues of up to USD 5 per vehicle each & navigations, smart cities, geo-spatial MapmyIndia purchase real-time location month. analysis, traffic solutions, among others. and velocity/speed data from data- However, there are three key aspects to While companies have developed a generating companies including OEMs consider: substantially robust process for indirect and fleet owners. The data points are • It is important to design a robust monetization, the direct monetization analyzed to track traffic flow and develop infrastructure to develop suitable model is still in the early stages. Globally, specific use cases. solutions. In addition, strategic Western Europe, followed by the US, has Traffic information is made available deployment of technology such as made inroads in terms of developing and via traffic APIs, using which customers narrowband and massive IoT is critical testing several use cases. can develop tailored solutions for their for a sustainable revenue stream. In India, indirect data monetization is businesses. For instance, users can relay • It is crucial to identify partners for gaining considerable popularity, creating traffic details for a specific route along realizing the full potential of revenues many opportunities over the last few with alternate routes to logistic fleets in offered by data monetization. years. For instance, IRDAI allowed UBI order to improve their fuel efficiency and • It is vital to identify opportunities under its Regulatory Sandbox, enabling delivery time. for data synergies to discover new companies such a TATA AIG to launch Potential Market Size and Conclusion business cases. o AutoSafe (UBI). This has also prompted several firms to offer cloud-based data Author management, storage, and transfer solutions. Vishal Sanghavi However, for the market for direct Senior Manager - Strategy Consulting monetization is in nascent stage, with (Automotive & Mobility) Aranca limited use cases and few partnerships.
Key Use Cases Currently Vishal heads the automotive practice at Aranca, a global business research & advisory firm. A Monetized in India thought leader with over 13 years of consulting experience in the automotive industry, Vishal Asset monitoring: At present, asset has a demonstrated track record in developing successful growth strategies for players across monitoring is largely undertaken by the value chain. Vishal is a passionate mobility futurist and works with clients to help them commercial vehicle fleet owners and position for the future in view of the disruption caused by the CASE trends. banks. Fleet owners’ avail of short-
April 2021 | Telematics Wire | 31 Connected Vehicles and Mobile Edge Computing – A Marriage of Convenience
Bhaskar Ghose Tata Communications Automotive Business Unit
ith the emergence demands on the networks that connect sensors. At the same time, the amount of of cloud computing, the hyperscale cloud data centres to their automation in vehicles increases, which there has been a end users. With 5G and its evolutions, – with some intermediate steps – will change in perception users will expect the connected society eventually culminate in fully-automated aboutW the way that information to be available with no limitations, driving without human intervention. management resources are deployed and users will make use of bandwidth- Due to connectivity and driven by and how information is distributed demanding services like augmented new 5G technologies, the value chain is and consumed. The idea behind cloud reality and virtual office applications, transforming into a value network. Along computing is to separate data from also when on the move. this path, the number of interactions the potential limitations associated Amongst other things, 5G is forever increases, both in-between vehicles, with physical hardware. By hosting expected to change the way we drive! The between vehicles and other road users, applications and data storage in the automotive industry is on a path where and with an increasingly intelligent road cloud the physical proximity of the data vehicles are continuously becoming infrastructure. Therefore, the significance that needs to be processed and accessed more aware of their environment due to and reliance on capable communication becomes remote. This places extra the addition of various types of integrated systems for vehicle-to-anything (V2X)
5G Cellular with the help of edge computing with enable will enable multiple new automotive (V2X) applications ranging from collision avoidance and safety systems (V2V), traffic signal timing/priority (V2I), real-time traffic/routing and cloud services (V2N), and safety alerts to pedestrians/ bicyclists (V2P).
32 | Telematics Wire | April 2021 5G is going to be the major change for business models, enabling new services and improving the existing ones. communication is becoming a key asset a mobile communications network or closer to the connected vehicles improves that will enhance the performance of indeed any communications network, processing speed, which means that automated driving and increase further there are opportunities to locate servers real-time analytics and control becomes road traffic safety with combination of and even data storage closer to the users feasible. sensor-based technologies. – we can think of a user as a human or Maintenance: The sort of micro- This challenge is brought into sharp a machine in this context. This approach data centres envisaged to support MEC focus when we consider the processing reduces round-trip latency. are designed for accessibility and ease of needs of new applications and services, In a network designed for edge maintenance, with just enough servers including Artificial Intelligence, the computing and 5G is very much the for hosting real-time critical functions. ‘Internet of Things’ and the need to case in point, there are three approaches, This combination of accessibility and the process and access data in near real- which we can refer to as: modular nature of what will be needed in time. Cloud computing brings the • Cellular unassisted V2V: Embedded these environments not only facilitates convenience of virtualisation to some Edge maintenance but also ensures redundancy, extent, but it is not an ideal approach • Cellular V2X: RAN, Private 5G as when one site is being managed, other for real-time data collection, processing, • Cellular-assisted V2V: Remote edge proximate sites can temporarily take on and analysis. High speed of the vehicles, 5G lends itself well to the idea of mobile the load. dynamic surroundings often cluttered edge computing, which is also referred to Climate: There is appeal to the idea with static and mobile scatterers, and as multi-access edge computing or MEC. of distributing computing power, in low antenna heights create challenges Benefits with MEC include: smaller physically distributed facilities, as for V2X communications that are unique Minimal latency: Relying on the opposed to huge, centralised data centres. compared to other communication cloud is not ideal for some automotive Quite part from the electricity required systems. applications, as cloud-based services to power both the processing and the A solution to this is ironically, to move are relatively slow. As automotive cooling in large data centres, there are elements of the physical infrastructure applications are coming to rely considerations about redundancy of closer to where the data needs to be increasingly on AI enabled applications, connectivity. processed. This idea is referred to as ‘Edge this disqualifies the cloud for use in many For connected vehicle applications, Computing’. In the context of mobile automotive applications, such as ADAS while MEC brings advantages, there are communications, and as 5G networks and autonomous vehicle applications. also challenges to be considered. An with their processing power come Servers and processing power located in obvious one is the physical scope to onstream, edge computing becomes a more compact data centre enclosures deploy MEC. While mobile base stations necessity. Edge computing works by closer to where their processes will be are regarded as the preferred location using the physical characteristics of the accessed and used, solves this latency to deploy the edge servers, not all base existing mobile network. For the sake issue associated with the cloud. It could station enclosures have the room to do of convenience let us define the edge of also create a new market for computing so. There are also security concerns, with the network as the point of the network services that cloud architecture is not people being able to tamper with or even closest to the connected devices that able to address. In the case of a connected remove servers from remote locations. are generating the data. At the edge of vehicle, having this processing power Another consideration is the feasibility
April 2021 | Telematics Wire | 33 Advantage Explanation on public cloud in its present form is not sustainable, then MEC does present a Data collection / Protection Data is collected closer to the point of generation. viable alternative approach, despite the Rather than sending data to cloud-based servers, the challenges indicated above. data is processed securely closer to the vehicle and The implication of moving more usually in real-time. processing to the network edge takes Scalability Logically the set-up of a distributed computing us from the realms of information architecture both enhances network resilience and technology towards operational decreases mobile network load. technology (OT). The reason for this is that with more emphasis and focus Reduced Cost By reducing data transmission frequency and the coming onto the edge infrastructure, volume of data being sent back to a central cloud the people who will be managing the location, network usage cost goes down infrastructure will be those who, up Decrease in Latency MEC decreases latency, as data generated by the until now, have been responsible for vehicle is not transferred across the mobile network maintenance and software support. to a remote data centre or onto the cloud for further Thus, to support this new mobile edge processing. paradigm we see a shift towards more focus on operational technology for the mobile network operators. of providing 3-Phase power supplies on mobile networks as an increasing Another emerging concept is the to power the extra equipment to some number of vehicles become connected idea of the ‘Edge Cloud’, a kind of remote locations. and generate an increasing amount hybrid approach which is effectively These challenges need to be weighed of data (Telematics, Diagnostics, a collection of multiple physical edge against an objective assessment of Infotainment, Location based services, deployment, collected in a single the longer-term sustainability of the V-Commerce etc). This distributed ‘virtual’ platform. With this approach public cloud model. With increasing approach to data processing at the edge mobile network operators will have an demands for connected vehicle of the mobile network ensures that more opportunity to offer public-cloud type applications, operating in near real-time, connected vehicles and the data they services, including SaaS and virtual with increasing volumes of data being are exchanging can be supported – so server hosting. generated, then the public cloud model more vehicles can be accommodated on What could these changes mean for needs to change. If location matters and the existing networks as well as more automotive OEMs? The clear message is in the case of automotive applications data being processed. Combining 5G that for connected vehicle applications, this is the case, this means that approach and MEC, instead of each individual requiring real-time or close to real- to enterprise computing needs to change. connected vehicle regularly sending time processing need the support of The hyperscale, centralized cloud data information to the network, data can a new architecture approach from the centre model needs to give way to be cached and transferred to the main mobile network operators. Reliance smaller, localised processing points, more framework as required. on cloud-based applications for certain cost-effective operating models, and a types of telematics use cases, ADAS distributed location architecture. A Hybrid Future or autonomous vehicle services is not For connected vehicles, the marriage As the assertion has been made that for realistic. Anything that can introduce of 5G and MEC reduces the strain connected vehicle applications, reliance lower latency data processing is a bonus, but 5G can do this on its own. The beauty of a combination of 5G with MEC is the new Author use cases it could open up for automotive OEMs, with an array of V2X services Bhaskar Ghose and revenue earning opportunities. A Head of Automotive Business Unit – India distributed edge architecture brings Tata Communications both the speed and volume of data to be processed and acted upon into reach. The Bhaskar has 17 years of experience in Telecom operator’s platform use of AI for deterministic applications, sales and Mobility domain with Tier 1’s like Oracle, Thales, Ericsson and Huawei and has such as which network connection is specialized in driving new customer acquisition, market share, revenue, and profitability best to use, when and where to perform growth across both mature and emerging markets. He has led multicultural teams and an OTA update, how to connect a vehicle managed customers across India + South Asia.At Tata Communications, he is currently with the infrastructure around it are all leading business development and sales engagement for Telecom and Mobility unit for India + South Asia. requirements that a combination of 5G with MEC can help fulfil. o
34 | Telematics Wire | April 2021 End-to-End ADAS/AD Solu�ons across Development & Valida�on
Valida�on Data So�ware Vehicle System Measurement Solu�ons Solu�ons Solu�ons Solu�ons Solu�ons Valida�on Concepts Annota�on Services Embedded So�ware Requirements Engineering Measurement Engineering Valida�on Services Annota�on Tools Valida�on System Sensor & Func�ons Measurement Hardware Vehicle Prototyping Intelligent Data Analy�cs Applica�ons Concepts Measurement So�ware Data Collec�on Data Management KPI Scrip�ng Reference Systems Smart Data Algorithms Driver Monitoring
Annota�on Experience Data Types Annota�on Types Use Cases •Camera Data - 2D Froint, • Bounding Box • Pedestrian Detec�on 300+ team •2D Side, Fish eye, • Seman�c Segmenta�on • Junc�on Scenario members •Driver Cam • 3D & 2D Point Cloud • Lane Annota�on delivering •Lidar • Bounding Box • Scene Annota�on •RADAR • 3D & 2D Point Cloud • Free space Annota�on consistent Seman�c • Traffic Signs & Light accuracy • Eye Labeling • Construc�on Sites of 98%* • Drowsiness Detec�on etc.
Images Labeled Industry Ver�cals Experience • 2 Million+ images • Passenger • 700+ Man-years • 1000+ Hours of Key • Commercial LIDAR Sequences • Agriculture • ~8 Million+ Dynamic • Construc�on RADAR objects • Mining • 12 million eye frames T. +91 996 060 5396 February 2021 | [email protected] Wire | 35 WHERE INNOVATION DRIVES DEVELOPMENT. www.ec-mobility.biz Data Science applications for automotive data
Dr. Ashwin Sabapathy Danlaw Inc
ehicles have increasingly been of the vehicle and the parameter values could transforming into complex digital subsequently recover to within normal operational systems, generating tremendous range. Indeed, diagnostic trouble codes reported by volumes of high frequency data. With vehicles are based on such operational ranges and greaterV uses of sensors, connectivity, GPS and frequency of occurrence. driver aids such as ADAS systems and the gradual Establishing parameter thresholds for specific shift towards autonomous vehicles, the generation vehicle models while controlling for different of data from each vehicle is expected to grow ambient conditions and driving states has been an exponentially. area of interest in which data mining can play a key The volume of data from vehicles can range from role. Here, data from a fleet of vehicles reporting a few kiloBytes an hour of driving when a vehicle is parameters at periodic intervals, after being cleaned tracked at a few minutes apart to tens of megaBytes and filtered to remove invalid values and treated for an hour when high frequency vehicle sensor data missing values and outliers, can be used to define is transmitted. This presents two challenges - one, vehicle sub-system operating regimes and outlier transmitting such large volumes of data and, two, thresholds for specific vehicle models in different analysing the data to find patterns in such large ambient conditions. Operating regimes could be data volumes. The first problem can be addressed defined for individual parameters or for a group of through some level of edge computing using pre- parameters for multiple ambient conditions (such trained models deployed on onboard devices as ambient temperature, pressure, relative humidity, capable of processing this data. This economises and altitude) as well as for different driving states data transmission by sending only data which (idling, acceleration, braking, cruising, etc.). The requires some further attention or which serve as operating regimes for different ambient conditions inputs to other models in further steps of analysis. would ensure that behaviours and extraneous Analysing and modelling the data transmitted factors are controlled for and only the variations Establishing provides tremendous value in addressing problems due to vehicle health are factored. The thresholds parameter related to vehicle health, safety, efficiency and for these operating regimes themselves could be utilization at the individual vehicle or fleet level as parameterised using different multivariate statistical thresholds for well as in providing alternatives to regulation and techniques that are distance based (such as Euclidean specific vehicle enforcement at the regional and city levels. Examples distance, Mahalanobis distance, etc.) or correlation of the value provided by leveraging analytics for based or even histogram (distribution) based. models while such data is presented in this article, some of which Since data is pooled from multiple vehicles, controlling are from the experience we have gained in this area. the thresholds for each operating regime can be It is through such insights from data that efficiency mined or “learned” from historic data for a given for different gains can be realized that cascade down the value vehicle model and continuously refreshed as new ambient chain of the automotive sector. data becomes available. Of course, care needs to be taken to ensure that the baselines of each operating conditions and Vehicle health regime are estimated after filtering out vehicle data driving states One compelling use case for data analysis includes from vehicles displaying abnormal performance. vehicle health status determination using ECU This could be achieved through several unsupervised has been an sensor data. A vehicle’s ECUs report multiple learning methods. The health of a vehicle could then area of interest parameters that could indicate potential vehicle be determined by comparing that vehicle’s parameters issues. The operating ranges of these parameters within an operating regime to baseline values. The in which data could serve as potential thresholds to detect vehicle’s overall health score could be arrived at by mining can anomalies, but these are not indicative of poor combining scores for each operating regime. vehicle health as a certain number of anomalous This framework can be quite challenging and play a key role values could be expected in the normal operation implementing this requires a combination of
36 | Telematics Wire | April 2021 non-trivial data management tasks at the edge accident risk and improve fleet efficiency while and interactions with a backend system that is usage based insurance programmes that use driver continuously mining data from a pool of vehicles scores to incentivize good driving behaviour can and refreshing baselines. The health scoring of contribute to overall safety improvements in the vehicles could be designed to either occur at the transportation sector. edge by deploying algorithms on onboard systems Analysing historical driving patterns is another or on backend systems that expose the scores for powerful way of assessing risk. Machine learning a vehicle through APIs for display on dashboards. models of individual driving to predict behaviours This depends on the use cases for which the system based on past patterns of driving can be used to pre- needs to be designed - for example, if the need is to empt risky driving behaviour through incentives or provide real-time information on the vehicle’s health appropriate notifications delivered to the vehicle’s on the vehicle’s dashboard, it would be appropriate dashboard. to deploy the scoring algorithm on the edge and have More recently vision based Advanced Driver the vehicle communicate to the backend only to Assistance Systems are becoming available as retrofits fetch refreshed baseline values at periodic intervals. to alert drivers on traffic speed limits using image The scores may also be transmitted to the backend recognition and on collision warning or stopping for fleet dashboard displays. On the other hand, if distance estimation using more advanced models. the need is to monitor vehicle health only at the fleet These also offer lane departure warnings as well as level, the vehicle parameters could have some level distracted driving and drowsy driving detection of pre-processing to minimize data transmission using pre-trained AI models. Such in-vehicle systems and have aggregations and transformation done are estimated to decrease the fatalities by up to 16 per onboard the vehicle. This aggregated data could be cent based on reported crash data from 1999 to 2008 used on the backend for scoring and monitoring. (Source: CASR Report Series, CASR094. Center for Automotive Safety Research. The University of Driver behaviour and Risk scoring Adelaide, Australia). Video snippets of violations An analysis of accidents in the United States shows are sent to a cloud repository where these can be The large that excessive speeding was a factor in more than reviewed as and when required. volumes of 28% of all accidents (National Highway Transport and Safety Administration, 2014). Hard Braking Fuel economy data available is another indication of being distracted while Fuel economy is another area that data analysis can from multiple driving and a risk factor. provide useful insights on. In India, ARAI typically We have analysed over 85 million miles of tests new vehicle models on a chassis dynamometer vehicles at a driving data in the United States and Canada and that simulates driving in India using the modified granular level modelled the link between speeding, hard braking Indian Driving Cycle (IDC) for emissions as well as and rapid acceleration behaviour with real accident fuel performance. These tests provide a fuel economy can be used records of these vehicles. This has been the basis performance value for each vehicle model but this to estimate for a driver scoring algorithm that makes use of a can vary significantly from actual performance in multi-layered data set comprising behaviour data real-world conditions due to various factors such as fuel economy overlaid with weather, time-of-day, magnitude and terrain, weather conditions, driving behaviour as well performance frequency of events, vehicle class, etc. A model as differences in driving patterns. The large volumes of these driver scores and accidents shows that of data available from multiple vehicles at a granular using for a 10-point increase in the Braking score, the level – every second or even at the end of a trip – population risk of an accident reduces by 23.6%. Similarly, a can be used to estimate fuel economy performance 10-point increase in Acceleration scores reduces using population based models at the trip level and based models risk by 3.3%. A 10-point increase in the overall can offer tremendous value in benchmarking fuel at the trip level Driver Score corresponds to a 11.4% decrease in economy for each vehicle make-model. risk. When Exposure Risk is also considered in For example, using fuel consumption data and can offer the overall score (used as an Insurance Score), a from over 210 million miles, we have been able to tremendous 10-point increase in the overall score corresponds develop such fuel economy benchmarks for over to a 48.6% decrease in the risk of a preventable 2500 year-model-make-engine types for multiple value in accident. These models show that telematics data geographic regions and seasons. These benchmarks benchmarking can provide an excellent measure of behavioural allow us to rate trips against these benchmarks for a and exposure risk and can be used by insurers particular average trip speed in a region and season fuel economy to price products and by individual drivers and and can highlight whether the trip’s fuel efficiency for each fleets to improve driving behaviour to mitigate was poor due to poor driving behaviour or due risk. Monitoring driver behaviour for fleets and to a possible vehicle health issue. Having such vehicle make- providing feedback can significantly minimize population based benchmarks can help regulators model
April 2021 | Telematics Wire | 37 assess the actual fuel performance of vehicles meets prescribed standards and to set standards accordingly. Vehicle manufacturers can also benefit from such data and benchmarks in compliance with Integrating advanced data analytics and policy and regulations. modelling can add tremendous value to Modeling fuel consumption with respect to driving behaviour can also establish a a variety of stakeholders across the quantitative link between additional fuel value chain and can produce innovative consumed as a result of individual driving behaviours like braking and speeding. business models to monetize such data This can quantify costs related to poor driving behaviour from a fuel perspective. For example, for a particular medium commercial vehicle model, we have been serve as useful input for vehicle insurers. whether the battery needs to be replaced. able to relate a single hard braking event to Accelerometer data can also be used At the system level too, optimizing an increase of 0.16 litres of fuel and speeding to model and classify road surfaces that a charging networks and utilities (especially for 1 minute above 120 kmph to an increase vehicle has driven on. This has applications integration with renewable sources) and of 0.05 litres. to determine additional stresses on tyres other infrastructure integration can be as well as vibrations that could impact better informed through data analysis of Accelerometer data certain vehicle systems. Classifying roads driving patterns, resource availability and applications in terms of their quality can also help local operations. The integration of EVs with Onboard vehicle devices are typically governments identify stretches that need smart grids is another emerging use case equipped with accelerometers that have maintenance and can provide transparency that is likely to generate more interest in the the ability to detect accidents when a in the way funds are allocated to different future with tremendous applications for certain g-force threshold is crossed. This areas under their purview. the use of vehicle batteries to supply power is a form of edge computing requiring the to the grid during peak demand, to detect edge deployment of a classification model Electric vehicles network deficiencies, maximize renewable to distinguish between real impact events The shift to EVs has been rapid over the energy uptake for vehicle charging, etc. and false positives that are triggered when a past few years and this shift is expected to vehicle has gone over a large pothole at high accelerate even further over the next few Conclusion speed. Classification models are developed years. In addition to EV health monitoring This article has outlined several applications using high frequency data (a minimum of and driving behaviour monitoring and use cases of analyzing and modelling 100Hz) and use various inputs in addition described above, vehicle parameters vehicle data. These range from vehicle to the accelerometer. Such accident (voltage, current, temperature from development efforts of OEMs, improving detection algorithms are useful to provide multiple sub-systems) can be used along safety, fuel economy and operational real-time notifications for emergency with ambient conditions and driving styles efficiencies of commercial fleets as well response in the event of an incident. The to model and compute more accurate as passenger vehicles. Integration of data obtained from accelerometers and and reliable estimates of driving range at contextual data such as weather and traffic other sensors like gyroscopes along with different States of Charge (SOC) than conditions along with behavioural inputs other contextual information is also very currently available algorithms. Similarly, that might be derived from the vehicle useful in accident reconstruction as well as the relationships between multiple battery data itself or from additional sensors / for injury classification to provide a better parameters can be used to model the State feeds provide an opportunity for a richer understanding of the event, which can of Health (SOH) of batteries to indicate analysis with deeper insights. The EV industry, including EV charging, is in Author early stages of development. Integrating Dr. Ashwin Sabapathy advanced data analytics and modelling Director, Data Science can add tremendous value to a variety of Danlaw Inc stakeholders across the value chain and can produce innovative business models Ashwin has over 20 years of research and consulting experience to monetize such data. The future of the and currently heads the Data Science practice at Danlaw Inc. He is automotive sector within the overall responsible for building innovative solutions involving advanced statistical techniques applied mobility space offers great potential for the to automotive and telematics data and has been leading the development of an analytics future and the first movers harnessing the platform for the automotive sector integrating multiple services for vehicle health, risk scoring power of data analytics are likely to benefit and other sensor based models. greatly in the application and monetization of automotive data. o
38 | Telematics Wire | April 2021 To register, please visit https://www.telematicswire.net/escort-webinar When Smart Data and Analytics meets the Road
Nagesh KP SLK Software
ars are becoming a necessity The automotive industry has seen a keep pace with this growth. more than luxury with the steady growth over the decades, but The past decade has seen the current pandemic that is the evolution of the industry to provide utilization of various digital technologies challenging Status Quo. superior digital user experience is yet to into the process of making, driving or C monitoring a motor vehicle. Various digital technologies like AI/ML, Big Data, Industrial IoT, Spatial Analytics are fast converging into the automobile industry. Smart data is helping the automotive industry advance further in several ways- by enhancing overall vehicle experience including uptime predictions, reduce cost of repairs, advanced driver assistance systems, self-driving vehicles. Smart Data collected from automotive is becoming the glue or the new fuel for growth. Converting this as an asset and building new business models atop this is becoming the new norm.
40 | Telematics Wire | April 2021 gENUINELY !! Made in India
• Track Trace and Driving • Track Trace and Driving • Track Trace and • Track Trace and Behaviour Behaviour Driving Behaviour Driving Behaviour • IP65 rating • Serial Port with multiple • Advanced Diagnostics • Serial Port • Accelerometer I/Os through CAN & K-Line • IP65 • Track & Trace • Optional CAN & RS485 • Plug and Play • 8 I/Os • RS232* • Accelerometer • Accelerometer • J1939
• Track Trace and Driving Behaviour • Track Trace and Driving Behaviour • Android-based smart telematics device • Video Telematics • 5” touch screen • Advanced Diagnostics with 3 Channel CAN • P2P Live Streaming • Wifi & BLE* • Advanced Diagnostics through CAN • ADAS through dual cameras and Dash CAM
• 9V-90V support • State of charge & range anxiety • Advanced diagnostics through CAN
April 2021 | Telematics Wire | 41 Below are the Smart Data Use Cases identify ourselves. within and outside the organization used in the automotive Value Chain Superior Driving Experience including federal agencies to get to know
their customers and car better. They create Core Processes Applied Innovation, Automation real-time & massive historical insights to & New Business Models provide personalized experience for car Sensor Stream processing JIT Spare Parts management buying, selling, ancillary opportunities like maintenance, insurance. Cross - Stream Complex Event Predective Supply Chain Processing Product Quality & Recall Process driven R&D Real-time quality assurance management Sensors in automotive are growing by the Preventive Warning Preventive recalls day. They collect information like speed, Real-time Monitoring Risk Analysis emissions, fuel consumption, usage data for resources, and security. All these data Supply Chain Planning Usage Data can be used to find patterns and resolve quality issues or prevent them from Predictive Maintainence Ride Sharing happening altogether. Analytics is used Customer 720 B2B Sales to increase superior customer experience and quality management at an efficient & Customer centric use caes – Virtual Car Appraisals effective level. Using this for preventive Churn, customization maintenance will enable reduce smart recalls.
Automotive Industry & Smart data analytics have transformed Smart City Planning & Safety Smart Data driver experiences, providing predictive Smart City problems like effective traffic Below are few areas where the automotive and preventive real-time data insights management, distribution of resources, industry is using smart data analytics to both from inside and outside the carbon emission and environmental go to the next level: environment to improve driver safety, issues can be tackled with combining vehicle services thereby improving the insights from automotive data and other Connected Cars overall driving experience. sources such as satellite, mobile, GPS In today’s connected world, cars are data, etc. becoming the identity of the owners. Deep Personalized Experience Few Car Makers are enabling this as an Automotive retailers collect massive Virtual Car Appraisals unique identity as we drive-in to a bank to amounts of customer data both from Sensors collect information like speed, usage data, pictures, patterns to evolve a persona of the driver. These smart data in combination with data from federal agencies can give insights into car usage, accidents, damages, by identifying patterns from amongst the large data collected. This can be further used to provide the right appraisal for an used car.
Supply Chain Management Pandemic has taught us new lessons in supply chain management as parts are manufactured and assembled globally. The global supply chain delays have delayed go-to-market for many automobile models, electric vehicles due
42 | Telematics Wire | April 2021 to lack of circuitry, sensors, boards and other essential foundational elements needed to make an automobile. Smart Connected Cars – data comes to the rescue in this area to plan and organize this better based on the open supply routes and options Can we build a Smart factory with minimal dependency on all resources Testing V2X Systems including people to build the same? With Industry 5.0 this is now becoming a fast trend in this pandemic world. Automotive manufacturers are rethinking Ravi Patil competitive advantage by applying new Spirent Communications age digital technologies to build agility, applied innovative, predictive automation and intelligence across all areas of the manufacturing life cycle 2X communication technology is an important enabler for advanced driver assistance systems (ADAS), a system developed to facilitate Conclusion autonomous driving and smart cities with intelligent transportation So, with the rapid increase in the systems (ITS). Asia Pacific continues to lead the global connected car advancements from the ever growing market,V for cars to communicate with each other local govt plays an important role to digital world. Smart Data has been mandate and implement V2X technology. the foundational aspect of all these As assisted driving technology and connected cars are becoming a reality, there advancements since the amount of data will be significant growth in the importance of V2X communication in vehicles. collected for all these developments New vehicles are becoming more connected – with each other, internet and with increases massively and needs parallel surrounding infrastructure. New systems are being developed and integrated at a processing to handle this large data rapid pace, as automotive brands compete to claim an edge by harnessing the potential generated every moment. We can now to improve the driver and passenger experience – in terms of safety, information, say that Smart Data has finally reignited convenience and entertainment. The arrival of new systems and protocols requires the digital passion and superior customer, new testing approaches and will increase demands upon automotive research and driving experience in the automobile development in terms of network expertise. industry. o To ensure absolute reliability from automotive systems, testing is crucial to meet the challenging requirements of conformance, performance, safety and reliability. Author In order to achieve truly flexible and robust V2X testing and dynamic behaviour of V2X entities, in a virtual and field environment that accurately re-creates the Nagesh K P key conditions, T&M companies are playing a vital role in accelerating adoption Head – Data & of V2X technology, delivering rigorous and cost-effective tests, while empowering Digital Service automotive companies to shape the future of transportation. Line SLK Software Testing V2X systems Pvt Ltd Testing V2X communications is becoming a critical part of vehicle development and Business & Technology Evangelist with presents a unique combination of challenges. As with any automotive system, it is 22 years of experience in IT products, essential to test and ensure, that every connected vehicle is safe, performs accurately consulting & services space. Adept at and responds to real-world situations and challenges in a way the user would expect. envisaging & realizing new business Testing to evaluate the systems should include metrics for precision, robustness, models by solving business problems repeatability, safety and much more. in diverse industries. Currently working on harnessing varied & disconnected Testing for conformance and interoperability: Data through convergence of Connected vehicles need to interact with roadside infrastructure – and just as emerging technologies like Smart importantly, each other. That means, all manufacturers will need to conform to a Data & Analytics, Self-Service BI & common set of agreed standards. As with all new automotive technology, consumers’ Visualization, APIs, Cloud, IoT, Data trust will be essential to adoption – and any failures, particularly those affecting safety, Science, Low Code Systems to form integrated solutions that are more will reflect directly upon the brand involved. But in many respects, interoperability powerful than ever before. Avid Learner is a new challenge for the automotive sector. OEMs and their supply chains have an acquiring new skills in Data, Digital and excellent track record in setting, meeting and policing their own standards – but direct Indological sciences. interoperability, based upon shared protocols, will be something many automotive
April 2021 | Telematics Wire | 43 test engineers are facing for the first time. Manufacturers in the sector therefore, need to define test cases that will enable In-vehicle networks and vehicle connectivity them to confirm any new V2X systems conform fully to the relevant protocols are becoming increasingly complex, making for each territory. performance and reliability more important than Testing for functionality ever. Spirent offers automated test solutions for and performance: connected and autonomous vehicles, automotive Conformance with agreed protocols is Ethernet, and 5G connectivity only a first step. For V2X, this means it needs to send, receive and interpret signals correctly, interact well with infrastructure and other vehicles and make sense of all this information to increasingly realistic threats: V2X Testing V2X in lab and field react appropriately in every scenario. A communications give hackers a direct – best of both framework for tests would include: route into a vehicle’s systems – the Although live, drive testing in the field technology and knowhow to abuse that remains a key part of developing any Evaluating response to opportunity. To mitigate the risk, V2X automotive system, laboratory-based real-world challenges; systems need to be robust, reliable, and tests also have a critical role to play. The such as, radio channel capable of recognizing when they are two approaches have complementary impairments, obstacles under attack – and these capabilities strengths. Both laboratory and field testing to reception, and both need to be tested. It is essential that V2X have important roles to play in the future deliberate and accidental test equipment includes the flexibility of V2X development and the industry cyber-attacks. to recreate current and future threats as should make the best possible use of both • Including other on-board units they emerge. A configurable, GUI-based in order to drive innovation in a safe, (OBUs) and roadside units (RSUs) emulator gives the required control. robust and cost-effective way. However, as to scale up the complexity of the the technologies involved become more environment and see how systems Testing V2X sophisticated and numerous, the gap cope with a changing variety of V2X Distributed Short Range Communication between the two approaches is growing. signals at once. (DSRC) defined in IEEE802.11p has It is becoming increasingly difficult • Finding failure points by pushing the been around for years as the main radio to reflect all the internal and external system beyond its limits, to evaluate its technology for V2X, supporting Vehicle- influences upon the connected car in a tolerances and discover how it behaves. to-Vehicle (V2V) as well as Infrastructure- laboratory environment and harness the • Capturing how the device under test to-Vehicle (I2V) communication. respective strengths of both. There is a (DUT) behaves, with clear reporting Recently, we’ve seen growing support for pressing need for smart integration of lab to enable performance comparisons usage of cellular radio technology for the test equipment, with a higher standard and confirm whether it responded as same purpose. of simulation, to give a more precise, expected Now with Cellular V2X (C-V2X) accurate and controllable lab-based • Testing at component and system level specifications published by 3GPP version of live test conditions. - including both software-in-the-loop the need for testing C-V2X to (SiL) and hardware-in-the-loop (HiL). ensure interoperability and validate The way forward • Testing V2X security: performance is becoming urgent. C-V2X Increasing integration of V2X, ADAS and Alongside any tests for standards defines Proximity Services (ProSe) and automated systems present automotive conformance or system performance the PC5 interface for device-to-device companies with a number of challenges, and functionality, it is essential that communication, to support Vehicle- most notably, interoperability and cyber the V2X test regime confirms security to-Vehicle (V2V) and Vehicle-to- security. To find a reliable, robust and in the face of a growing number of Infrastructure (V2I) applications. cost-effective way to ensure that the vehicle and all its components deliver the Author best & safest experience for the driver – remains the same as it has always been. Ravi Patil Solutions for testing the next generation Solution Head – APAC South of connected vehicles should be built Ethernet and Automotive upon proven methods, technologies and Spirent Communications techniques that deliver robust results, while enabling rapid innovation. o
44 | Telematics Wire | April 2021 The Data-Wide-Web of Automotive World
Anil Gupta Magnos Technologies LLP
ike any other sector, any other industry, Data has taken centre- stage in automotive world too. Automotive Industry has gone Lthrough various stages of evolution and revolution. Till about mid 90s or so, most of the innovations were on mechanical front – the engineering, design, production etc. then slowly electrical engineering and electrical systems started capturing their own bit of innovation. Around 2000 or so, the Electronics world started playing its role, and started stealing most of the innovation budget in Automotive new innovations. And now, in last few years, it is the data, data enabled services, analytics that is playing major role in almost every area related to Automotive – Sales, Marketing, Production, Customer Experience, Connecting with End services. These areas can broadly be marketing spending, targeting, Customer, Resale, Aftermarket and so on. classified in following categories : strategizing for best marketing • Product Development, Design and outcomes, understanding competitor Following picture depicts, Manufacturing – in a number of ways marketing strategy and counter those. a related size of data in such as preventing design errors, Understanding customer buying the context of other data tracking changes in design, quality of patterns and so on. related applications the work, managing entire production • Connected Vehicles & Intelligent Remember – the above picture is and manufacturing process – improving Transportation -- A whole host of referring to just connected car services. quality as well as reducing cost. connected vehicle services, some of In the context of Autonomous vehicle or • Supply Chain -- minimize risk & which are detailed more in Usecases some high end connected car services the maximize growth by optimizing section volume may go upto dealing with 4000 the entire supply chain system. • Quality Analytics - Understand quality GB per day, per car data. And it is not just Identification of right vendors and related flaws & resolve that at a very early sheer volume, there is a huge complexity partners, implement the state of the stage of product manufacturing in the variety of this data too. Sensors art just in time approach and so on. • Vehicle Financing data, GPS data, Camera inputs, Images, • After-Sales, Warranty & Dealer Use Cases - there are hundreds of Radar data, Sonar data, Lidar data and Management -- After sales support, usecases, Data production and consumption what not. That’s the sort of volume and Ontime, on-demand services, is done under-the-hood, by those tens of variety we are talking about. prognostic services, fuel management, ECUs connected to different data collection Application Areas – Most of the touch fleet management, performance data and controlling devices, such as sensors, points in the whole lifecycle of vehicle – from analytics etc. camera, GPS devices, Lidars and so on. concept to retirement, have applicability and • Marketing, Sales & Other Data production and consumptions is also different set of use-cases for data enabled Applications -- Planning for overall done above the hood for a whole host of
April 2021 | Telematics Wire | 45 connected car and Infotainment services. Much of the data produced is hosted and consumed locally without much interaction with the cloud. However, indeed there is partial data that is stored in the cloud, and exchanged between vehicle and OEM or other service providers. Some examples of different usecases are • Automotive Insights for Design and Production • Product Design & Planning • Predictive Maintenance & Real-Time Diagnostics • Parts Inventory & Pricing Optimization • Supply Chain Management • Dealer Management & Customer Support Services • UBI (Usage-Based Insurance) • Autonomous & Semi-Autonomous Driving • Intelligent Transportation • Fleet Management • Driver Safety & Vehicle Cyber Security • In-Vehicle Experience, Navigation & these people, and finally their creators, experience and achieve better vehicle health. Infotainment manufacturers --- OEMs, Tier –I, II Standardization and regulatory • Ride Sourcing, Sharing & Rentals providers, Service providers and so on. initiatives – As this whole thing is • Marketing & Sales Each of these objects practically work as taking a massive shape and now likely to • Customer Retention Data source for automotive. become the mainstream for automotive • Third Party Monetization lifecycle, the need for standardization and • Supply Chain improvement Data Collection Techniques regulation automatically arise. Trust issues, Data Sources – When we talk of The data collected from automobiles can be interworking issues, ownership issues, automobiles, there are a number of sources simple sensor based techniques to record retention v/s destruction issues and so on. internally to auto machinery as well as and monitor performance, maintenance and Cyber security, especially security along outside, who are creating, manipulating behavior of critical automobile systems, or with safety and privacy are likely to be the and using the data. There are thousands more sophisticated GPS and satellite based key areas of topic, in fact they already are. of parts in auto machinery. A lot of these techniques such as tracking vehicle position Several frameworks across geography have parts are generating a lot of data bundles. and recording external conditions. emerged. A number of industry forums Autos are running on the road, where Data collection techniques for have been created to discuss and iron-out they have opportunity to talk to other automobiles gained maturity over the these issues and workings. elements on the road such as adjacent years by using current technology offerings Challenges - Dealing with data, vehicles, road side infrastructures, the like mobile devices, wearables, Big Data, Giga, Terra, Peta bytes of data is never signal, and so on. People are using and Business Intelligence, Cloud and Social without challenges, be it in any domain. sitting in automobiles, so automobiles Media. The major focus of these collection With automotive, the complexity and the have opportunity to get data from techniques was to improve customer amount of these challenges only increase rather than reducing. Author Industry stalwarts are still struggling with several burning issues. Questions Anil Gupta such as “Whose Data is it anyway?”, “What Co-founder is the right size, frequency, type…etc of Magnos Technologies LLP the data to be collected?”, “Are we morally Anil Gupta, Co-founder of Magnos Technologies LLP. He has about right to collect, store, use it internally, and 25 years of experience in Connected Cars, Connected Devices, eventually sell the data?”, “Who pays for Embedded software, Automotive Infotainment, Telematics, GIS, Energy, and Telecom the maintenance, collection and services domain. Anil is MS in Computers and Software Engineering from Illinois Institute of of the data enabled services?”, How to Chicago. Currently pursuing his interest in technology, finance and investments -- monetize the data, and so on… Several publishes several articles around these topics. such questions needs to be answered. And this is an ongoing process. o
46 | Telematics Wire | April 2021 track | analyze | optimize
Decrease Fuel Reduce Fuel Theft by up to Cost up to call Us Anytime Email Us 90% 15% +91 9989094607 [email protected]
February 2021 | Telematics Wire | 47 Market Watch Big Data and Data Analytics are Extending Arm of OEMs
richa tyagi telematics wire
Introduction Terms like Big Data and Data Analytics are commonplace in the automotive industry. Now it is getting applied in every stage of automotive conceptualization, designing, and production. According to the McKinsey & Company report, by 2030, global revenues from automotive data-related services will grow to around $750B. Automotive giants like Tesla, BMW, Ford, Toyota are built on data. OBD II - Car Diagnosis Device Nowadays the automotive companies Source: Zene technologies, to enable peer-2-peer find difficulties with integrating a large data and payment transactions between amount of data and analyzing it within a Hansa Cequity vehicles and connected service providers. tight time frame. That’s why they decide Hansa Cequity is an Indian company, situated Founded in 2018, V2X Network enables to outsource the whole part of their data in Bengaluru. It is a marketing company that the vehicles to transact on their own by analysis, to be able to control a large provides customer strategy, data services, using digital vehicle identity. volume of data. Data analytics companies analytics, campaign management, digital and across the world are racing to develop Customer relationship Centre services for Motorq innovative business solutions and widen key clients across different verticals. Hansa Motorq, US-based a connected car the scope of usage of data analytics in Cequity was established by R K SWAMY data ecosystem, with office in Chennai areas as diverse as payment transactions to HANSA Group along with S. Swaminathan (India) was founded in 2016 that enables operational efficacy by offering expanded and Ajay Kelkar. enterprises such as fleets, insurance services to their customers. At the core of companies, and governments access to these developments are the insights gained V2X Network connected vehicle data and analytics through the analysis of the data being Headquartered in London, V2X Network at scale so that enterprises can rapidly generated in the business operations. seems to be a rather nascent player in improve operations and expand services. We’ve looked into some big data handling payment transactions. Their In November 2020, Motorq and and data analytics companies in the platform V2X Network is an autonomous General Motors have announced that they automotive industry across Europe, Asia, transaction platform for the mobility have integrated GM’s OnStar Pre-Delivery North America, and Australia. These ecosystem. V2X uses distributed ledger data service with Motorq’s cloud-based are the companies that focus primarily on big data and/or data analytics in the automotive industry and large IT outsourcing companies that can support your project with versatile expertise: Zene An Indian company Zene, headquartered in Gurgaon, Haryana, founded in 2014, is a plug-and-play device that connects the car to the cloud and enables it to capture great insights from the car’s data. This device not only can manage the car remotely but also know whether it is performing at its optimal level. EvalExpert Source: AlgoDriven
48 | Telematics Wire | April 2021 enhanced data visibility, and Automatic Retraining for continuous model improvement. DRVR By using connected car data and data analytics companies are enabled to take better control of their fleets. DRVR from Bangkok, founded in 2014, is focused on Data analytics centered on vehicles. DRVR has developed dashboards for Data Analytics that are compatible with many different off-the-shelf Telematics Linepulse 2.0 Source: PRWeb solutions. The main focus of the company LinePulse Smart Line Analytics helps engineers identify the most significant signals for in 2020 has been on its new suite of investigation during root cause analysis, reducing the time commitment from weeks to driving behavior services. hours. In 2017, DRVR partnered with Tata Communications as a global IoT platform to allow fleet operators to identify solutions for easy usability. Car dealers connectivity partner. DRVR claims they will and track the location of Chevrolet, Buick, use EvalExpert to appraise their cars. be making Asia’s vehicle fleets the smartest GMC, and Cadillac vehicles throughout and most cost-efficient in the world. their logistics lifecycles. Acerta In 2020, DRVR announced that it Motorq has closed a $7 million Series Acerta, a startup in Canada, delivers machine has raised an undisclosed amount of A round of funding in December 2020. learning technology to the manufacturing funding from Smart Axiata’s Digital The round was led by Story Ventures with and automotive industries. Innovation Fund. With the funding, the participation from existing investors FM Acerta Analytics and GAA extended company wants to expand its services into Capital, Monta Vista Capital, and Avanta their partnership in January 2021, providing Cambodia and hire across the board. Ventures, the investment arm of CSAA, a in-country resources to support and deploy AAA Insurer. Acerta’s advanced AI and machine learning N-IX solutions to automotive customers across Headquartered in Lviv, L’vivs’ka Oblast’, AlgoDriven Europe, North America, and Asia. Ukraine, N-IX helps businesses ensure The UAE-based startup, AlgoDriven In February 2021, Acerta Analytics predictive vehicle maintenance and founded in 2017, is an automotive announced the release of its industrial make data-driven decisions on the road. data platform. EvalExpert mobile app, machine learning platform, LinePulse The company was founded in 2002 and a vehicle appraisal solution developed 2.0. With the help of this platform, users has got a broad range of expertise in by AlgoDriven that uses proprietary can benefit from an expanded range of artificial intelligence, machine learning, algorithms for vehicle appraisal, price data analysis and visualization options, data science, and big data analytics in the guidance, and wholesale management. including Intelligent Component automotive sector. EvalExpert features a web dashboard Selection for AI-driven recommendations In 2020, N-iX has reached a Partner and integrates with the existing business during assembly, Smart Line Analytics for Level status in the Google Cloud Partner Advantage Program. With the partnership, N-IX will leverage Google Cloud and its advanced capabilities to help its clients drive maximum value from their cloud investment by expanding their market reach, improving the performance of their products, increasing time to market, and more. N-IX has achieved Amazon Web Services Advanced Consulting Partner status in the AWS Partner Network (APN) in February 2021. Future Processing Future Processing was founded in LinePulse 2.0 Source: PRWeb 2000. Its headquarters is situated in LinePulse uses an innovative auto-retraining framework to compensate for variability in manufacturing data due to changes in instrumentation, seasonality, and even personnel. Poland. Future Processing is a software Whenever the platform det Data Drift detection in the LinePulse UI. development company that provides data
April 2021 | Telematics Wire | 49 analytics services to many companies in solution, and RapidStart SharePoint largest auto-making countries. the automotive industry and helps them Migration that supports small to large augment their teams with automotive scale SharePoint content migration. Zendrive software developers to meet their The US venture Zendrive, founded in business goals. The key clients of the Xomnia 2013, powers mobile sensor data to companies are Valeo, Volkswagen Group Xomnia from the Netherlands started in provide actionable insights that improve Polska, and Tanneco. 2013, helps organizations generate value safety for passengers and drivers globally. from data by developing, integrating, and It has one of its office in Bengaluru. In Data Reply maintaining their big data platforms and December 2020, Zendrive released a Data Reply, London based company, predictive solutions. The company also visual data report that analyzes driving founded in 2015, offers a wide range of assists businesses to gain insights with the behavior in the wake of the Covid-19 data processing and analytics services. help of data analytics in the automotive pandemic. Additionally, with a sample They specialize in big data, data science, industry. The key clients of Xomnia are dataset of verified collision incidents from artificial intelligence, cloud computing, ProRail, Geelen Projects, Schadegarant etc. 2018 through 2020, the report reveals that digital communication, IoT, mobile and distracted driving now contributes to more social networking. It provides its services Pythian than 57% of all collisions on the road. to many automotive companies such as Pythian Services Inc., known as Pythian is Audi, Fiat, and CNH Industrial. a Canadian multinational corporation. It PitStop has its office in Telangana, India. Founded A Canadian platform, PitStop, founded Phocas in 1997, the company provides cloud and in 2015, aggregates data and uses The automotive data analytics company data analytics services to companies in the machine learning to perform predictive Phocas, headquartered in the UK, delivers automotive industry. It helps businesses by maintenance for vehicles. In October data analytics solutions to manufacturers, technologies such as advanced analytics, big 2020, Pitstop announced a Series A round distributors, and retailers around the data, cloud, databases, and infrastructure of funding led by Sensata Technologies world. Phocas provides powerful data management. In November 2020, Pythian with participation from existing investors tools and dashboards that will enable has earned the Data Management Partner Ripple Ventures and Hike Ventures. With automotive businesses to quickly Specialization in the Google Cloud Partner the funds, Pitstop will expand market determine sales and inventory priorities. Advantage Program. reach, enhance product features and In January 2021, Phocas Software build additional prediction algorithms for announced a US$34 million capital raise Drust the automotive industry. The amount of to accelerate its growth in America and Established in 2014, DRUST is a French funding was not disclosed. the United Kingdom, expand into new company. It is a car data analytics cloud- industries and develop its core products. based platform. DRUST powers driver- CARFIT oriented services alongside car service CARFIT, headquartered in California, Softweb Solutions brands, to provide the drivers with insights was established in 2016. It is a self- The US-based Softweb Solutions, about their car and their driving. DRUST diagnostic & predictive maintenance with office in Ahmedabad (India), was acquired by Continental in 2019. platform in the connected car space that has experience in data analytics in the provides the dealers/service companies automotive industry from 2000, as well Sight Machine with customized lead generation and car- as helps businesses gain valuable insights Sight Machine is a California-based owners with individualized predictive from data in retail, oil & gas, telecom, and company, set up in 2012. It provides an maintenance info on their car. healthcare industries. analytics platform that addresses critical In 2018, the company was acquired challenges in quality and productivity wejo ADEPT by Avnet, a global technology solutions throughout the businesses. Started in 2013, the UK-based Wejo gathers provider. Softweb Solutions accelerates In February 2021, Essex Furukawa & analyzes car data from connected cars Avnet’s IoT efforts as well as its data partnered with Sight Machine Inc. as the to help car manufacturers improve their services and AI capabilities. manufacturing productivity platform for products through data-driven decisions. its plants in China, the US, and Germany. In March 2021, Wejo collaborated with ISoftStone The agreement extends the digital HELLA, an automotive part supplier. The The Chinese company iSoftStone started transformation initiative begun at Essex collaboration aims to develop new data- in 2001, provides technology services Furukawa’s magnet wire plant in Torreón, based business models and further enhance in Data Analytics, Mobility, Enterprise Mexico, where Sight Machine has helped the performance of HELLA’s sensor Application Integration, Cloud, and Essex Furukawa increase EV production. portfolio. HELLA also acquired a minority Quality Assurance. Additionally, the Essex Furukawa will use Sight Machine stake in Wejo. Wejo organizes data from company offers iSoftStone RapidStart to improve manufacturing quality, about 15 million connected vehicles for its solution accelerators: RapidStart Data speed, and uptime in its plants supplying clients such as General Motors Co, Hyundai Analytics, a reporting, and analytics automakers in four of the world’s six Motor Co, and Daimler.
50 | Telematics Wire | April 2021 Otonomo Xevo of Virginia, and Virginia Tech to support The Otonomo Automotive Data Services Xevo, a part of Lear Corporation, is a TrackCorona, a COVID-19 tracking Platform is an Israeli company that Seattle-based company, started in 2000. website that went from a blip on the radar was started in 2015. It helps to fuel an It provides connected-car software. It screen to a prominent global resource ecosystem of OEMs, fleets, and more is a development partner to some of with 1.4 million visits from 193 countries, than 100 service providers. Otonomo’s the world’s largest automakers such as averaging 40,000 users per day. neutral platform securely ingests more Chevrolet, GMC, Buick, Hyundai, etc. than 2.6 billion data points per day In 2017, Xevo launched Journeyware, Bright Data (Formerly from over 20 million global connected a suite of products that includes a Luminati Networks) vehicles, then reshapes and enriches data management software designed Bright Data is an Israeli startup that was it, to accelerate time to market for new to personalize the consumer driving founded in 2014. It is a data collection services that delight drivers. Use cases experience. Journeyware’s components enablement platform. In March 2021, include emergency services, mapping, EV are already deployed in more than 25 Luminati Networks announced that it management, subscription-based fueling, million vehicles worldwide. is to become Bright Data as it takes the parking, predictive maintenance, usage- next step in its journey to deliver valuable based insurance, media measurement, in- Smartcar online data to organizations and further vehicle services, and dozens of smart city Smartcar is a US-based company that was support the data collection industry. services. established in 2015. It develops car API Teradata US company Teradata, founded in 1979, offers analytic data platforms, applications, and services for data warehousing and analytic technologies. In India it has its office in Bengaluru, Pune, Hyderabad, Gurugram and Navi Mumbai. In February 2021, Teradata joined the Open Manufacturing Platform, a global alliance initiated by the BMW Group and Microsoft to drive industrial IoT developments and build future Industry 4.0 solutions in the manufacturing and automotive sector. As a member of the OMP, Teradata will help In November 2020, Otonomo for mobility applications. The company is manufacturers accelerate innovation and had partnered with xyzt.ai. Otonomo collecting data from connected cars and achieve production efficiencies across the provides xyzt.ai and its diverse collection making that data available to developers entire value chain by unlocking the potential of over 100 commercial partners with who want to enable their apps to locate, of their data. access to multi-layered connected unlock, and read the odometers from cars vehicle data from 12 OEMs, including across more than a dozen car brands. Conclusion: traffic, hazard, ultrasonic sensor, weather, Smartcar has formed a partnership with Nowadays vehicles are more complex parking, and other vehicle-based data. True Mileage in January 2021. Under the and sophisticated, they generate a huge partnership, both companies will launch amount of data. Automotive players must Vinli usage-based insurance (UBI) solution invest in data management to protect and Vinli is an automotive technology for auto insurers. The solution combines improve their relationship with customers. company, established in Texas, the US Smartcar’s API with True Mileage’s UBI Managing data is a three steps process: in 2014. Vinli builds data intelligence analytics. In August 2020, Smartcar and real-time data acquisition, data unification, solutions and services for the connected Pitstop have announced a partnership to and data insights. These three steps are the world. It offers its own connected offer the hardware-free prescriptive fleet keep to responding to the challenges and car platform called Tenjin, which maintenance solution to enterprises in the promise of new technologies. businesses can use to quickly create United States and Canada. The companies working in the their own connected car services and automotive data sector are growing applications. In 2018, ALD Automotive Oxylabs around the world. Choosing the right signed a strategic partnership with Vinli. Lithuania-based Oxylabs, established vendor that suits business needs can Through the partnership, Vinli provides in 2008, is a technology company that become a real challenge. In order to services to enrich ALD’s service offering provides tools and resources for web make an informed decision, it is always and develop new value-added solutions data collection. In 2020, the company better to choose from big data and or to improve both TCO and driver partnered with undergraduate students data analytics companies which are experience. from Stanford University, the University focussed in automotive segment. o
April 2021 | Telematics Wire | 51 Telematics, Maps & Location
Parkopedia announces production version of indoor mapping services Parkopedia has launched the production version of its Parkopedia’s indoor mapping technology can be used indoor mapping technology for in-vehicle navigation use. to deliver the following key use cases: Indoor maps are based on high-definition 3D models of 1. In-vehicle indoor navigation – no GPS dead zones indoor parking facilities, where GPS signal is typically 2. Precise indoor positioning – locate your vehicle restricted. 3. Automated Valet Parking – self-parking cars require indoor maps SAIC to use Telenav’s ‘Care by Volvo’ using cloud-hosted FICO VIVID Nav solution for Platform markets outside China Volvo Cars has used the cloud- hosted FICO® Platform to digitize and SAIC has selected Telenav’s VIVID® accelerate the customer onboarding Nav solution for its overseas markets in process for its vehicle subscription Europe, Southeast Asia and Australia-New service, Care by Volvo. Zealand. VIVID Nav delivers a seamless Care by Volvo is a vehicle subscription cloud-connected and onboard navigation service designed to let customers enjoy experience, optimized to provide end users the benefits of a new Volvo, without the challenges of owning one. For with the most up-to-date map and online a fixed monthly fee, Volvo provides subscribers with a brand-new Volvo content, while minimizing the amount of and covers all regular service, maintenance costs and breakdown cover. mobile data used to reduce SAIC’s costs. The service was introduced to reflect the shift in consumer preference toward car usage and away from absolute ownership. Geotab Marketplace to Volvo adopted various components of the FICO Platform — FICO® have Lytx’s Surfsight Decision Modeler, FICO® Application Studio, FICO® Data Orchestrator Data Acquisition Module — in a cloud-hosted version for maximum video telematics efficiency. Geotab together with Lytx® announced the availability of an integrated camera solution from Surfsight™ on the Geotab AGM Systems launches Velodyne lidar-based Marketplace. The Surfsight AI-12 camera UAV mapping solution solution is specifically designed to assist improve fleet safety through its continuous AGM Systems will utilize Velodyne’s Ultra Puck lidar sensor in their new recording and advanced machine vision AGM-MS3 Unmanned Aerial Vehicle (UAV) mapping solution. This solution and AI technology. is their second generation of UAV lidar scanning technologies for mapping in Russia. Combined use of AGM-PS inertial navigation systems, highly detailed Velodyne Lidar output and proprietary software makes it possible to obtain centimeter-level accuracy when scanning from heights of up to 200 meters. A key factor for UAVs is navigation and safe landing, which is why AGM Systems chose Velodyne’s precise, compact Ultra Puck lidar sensor.
Bridgestone launches Firestone Direct Bridgestone Americas announced the launch of Firestone Direct mobile vehicle service for car owners and fleet operators. Firestone Direct brings Bridgestone’s automotive services directly to vehicle owners’ homes or workplaces to offer maximum convenience with safe, contact-free service. This service uses specially equipped vans operated by certified technicians to perform a wide range of maintenance services, including fluid and filter changes, tire repair and replacement, battery check and replacement, and more. Through 2021, Firestone Direct will continue to grow into additional markets across the southeastern U.S., with plans to expand nationwide by 2023.
52 | Telematics Wire | April 2021 Connected Vehicle
HELLA Ventures invests in data-driven HAAS Alert builds out business, picks minority stake in Wejo connected vehicle business unit HELLA has entered a partnership with connected vehicle data provider Wejo. The relationship aims to potentially develop HAAS Alert announced it has hired Jeff Niermann new data-driven business models. As part of the collaboration, as Vice President of Connected Vehicle Sales HELLA acquired a minority stake in Wejo. to lead its business development activities The first joint pilot projects between HELLA and Wejo are with automotive manufacturers, suppliers, and currently being defined and will begin shortly. A strategic emerging autonomous and electric mobility investment in Wejo also forms part of the collaboration companies. In his new role, Jeff will work to bring between the two companies. The investment has been made by HAAS Alert’s V2X digital alerting platform Safety the Silicon Valley-based venture capital arm HELLA Ventures. Cloud® to connected vehicles, building on the The contracting parties have agreed not to disclose the exact nearly 1 billion driver alerts it has processed to amount of the investment. date through its existing navigation partners. Founded in 2015, HAAS Alert first prioritized growing the volume of roadway assets activated on Garmin’s automotive infotainment Safety Cloud that lead to hazardous situations for systems to have Alexa Custom other drivers. Almost 300 public safety departments, state & municipal DOTs, towing operators, and Assistant construction companies are connected to Safety Garmin® International, Cloud, generating 1.4 million minutes of roadway Inc. expanded its strategic hazard time during February 2021 alone. relationship with Amazon with the integration of Alexa Custom Assistant into Garmin’s in- Anritsu’s MT8000A and vehicle infotainment systems. MediaTek M80 5G modem Alexa Custom Assistant is a comprehensive solution that allows automakers to access Alexa’s achieve over 7Gbps downlink advanced AI to create their own intelligent assistants tailored to throughput with FR1+FR2 dual their brand personality and customer needs. Garmin’s Automotive voice development team has been connectivity working closely with Amazon to adopt Alexa Custom Assistant Anritsu Corporation announced that its Radio and is now showcasing its integration for adoption in Communication Test Station MT8000A successfully production vehicles. The Alexa Custom Assistant technology achieved a downlink (DL) throughput over 7 Gbps will be available on Garmin’s latest infotainment solutions, using FR1+FR2 Dual Connectivity (DC) technology which are built on Qualcomm’s latest-generation chipsets. and 256QAM modulation in 5G Standalone (SA) mode in conjunction with MediaTek’s latest M80 5G modem. This achievement demonstrates Western Digital reiterates the importance Anritsu’s commitment to contribute to the of data backup this World Backup Day development and wider rollout of new 5G services, which, through its collaboration with MediaTek, Western Digital Corp. announced the launch of verifies leading-edge 5G technology features. #BackUpAndStaySafe to commemorate World Backup Day Together MediaTek and Anritsu have been on March 31st. The digital-led campaign is aimed at building focusing on development and testing of both FR1 awareness around the benefits and the importance of backing up and FR2 technologies and functions. Increasing digital content. In the age of digitization and rapid technological data throughput based on FR1+FR2 DC and evolution, the company wants to help empower consumers 256QAM has been one of the latest successes in and reiterate the value of data safe-keeping and emphasize the this ongoing partnership. importance of making data backups a regular habit. FR1+FR2 DC combines FR1 and FR2 The brand has released three real-life situation videos around technologies to improve data throughput per data loss, that highlight how accidentally deleting files or a virus user by grouping cell base stations with different attack on a PC can spell disaster for the valuable data saved in frequency ranges to transmit data; the 256QAM it, and without backup, these files can be compromised for good. modulation technology uses advanced RF and As a part of this campaign, Western Digital also unveiled signal-processing technologies to support faster micro-site populated with informative posts, interesting communications by sending 8 bits of data in a facts about data backup, quirky creatives, myth busters, and single symbol. interactive quizzes to make the experience more engaging for the visitors.
April 2021 | Telematics Wire | 53 Autonomous Vehicle/ADAS
Sony (SNE), NTT Docomo conduct Industry News autonomous vehicle trial in Japan Updates • Motion Intelligence announces Sony Corporation SNE, along with NTT availability of driver safety Docomo Inc., announced the successful solution on Geotab’s Marketplace trial of a remotely-operated Sony • embark and the Arizona Sociable Cart (SC-1) entertainment Department of Transportation vehicle. This vehicle carried passengers collaborate to promote safe for more than 2,500 kilometers, via a 5G network. navigation of work zones by Video of the vehicle’s perimeter was captured with Sony image sensors autonomous trucks and sent in real-time to a Sony office in Tokyo where the vehicle was driven • Velodyne demonstrates LiDAR remotely while the operator watched a monitor, taking advantage of 5G’s technology for improving low latency, large capacity and extra-high-speed connectivity. The test was pedestrian safety conducted on a 5G network, provided by Docomo Pacific. The SC-1’s image • Lux Research predicts sensors are attached to the vehicle’s front, rear, and sides for high-resolution autonomous vehicle market to be video visible by the remote operator. Sony provides reliability by using its ‘3R’ a $50 billion opportunity by 2040 technologies (Reality, Real-time, and Remote) for a better mobility experience • waveSense secures $15 million in various fields. to accelerate next generation ADAS and autonomous features CalPro launches new calibration tool ADAS with world’s most precise and reliable positioning system IdentiScan • Vietnam launches first CalPro ADAS Solutions has announced autonomous vehicle the launch of its new ADAS IdentiScan • Self-driving truck company product. The ADAS IdentiScan solution Plus upsizes recent fundraising delivers detailed information and guidance to $420 million to collision shops so they can efficiently and • Mercedes-AMG defines the effectively manage the estimation and repair future of Driving Performance process by identifying the advanced driver- • renesas introduces complete assistance systems (ADAS) and required calibrations. power and functional safety Benefits that current ADAS IdentiScan customers are already solution for R-Car V3H ADAS experiencing include: camera systems • The tool improves a shop’s ability to capture calibration requirements • The most thorough and accurate ADAS feature data available in the • Pony announces brand name market of autonomous truck business • An easy and intuitive vehicle inspection and survey wizard which can “PonyTron” be completed in under a minute • optimus Ride partners with • works effectively across all vehicle manufacturers, while not putting Polaris on fully autonomous any customer information at risk GEM vehicles • waveSense secures $15 million to accelerate next generation InnovizAPP, an Automotive Perception ADAS and autonomous features Platform released with world’s most precise and reliable positioning system Innoviz Technologies, Ltd. has released its Automotive Perception Platform • engineering an Ethicist in – InnovizAPP for the automotive industry. InnovizAPP is a perception platform, which includes automotive-grade hardware and software that Autonomous (Vehicle) Beings enable autonomous vehicles to identify and classify objects. • FORESEE automotive eMMCs InnovizAPP is based on Innoviz’s advanced Perception Software, which from Longsys enhance driver leverages the rich data derived from Innoviz‘s LiDAR sensors, coupled assistance system safety with proprietary AI algorithms, to analyze the point cloud and estimate • Volkswagen Commercial an object’s speed with high precision. The software can accurately Vehicles moves ahead with detect and classify objects in any 3D driving scene up to 250 meters Autonomous Driving R&D for away, including cars, trucks, motorcycles, pedestrians, and more. It also Mobility as a Service executes perception algorithms in real time, detecting and classifying pixels as collision relevant or non-collision relevant.
54 | Telematics Wire | April 2021 IDA_Automotive_Electronics_A4_ARTWORK_OUTPUT.pdf 1 09/09/2020 15:53
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April 2021 | Telematics Wire | 55 electric vehicle Kia reveals new design philosophy and full Industry News Updates images of EV6 • 1.3M Electric Vehicles were sold in China in 2020 – Projected for 51% increase by 2021 • The Rise of the Electric Vehicle during the Covid-19 Pandemic • eV Connect pilots first V2G charging project in the Midwest • India: New scheme to incentivise EV manufacturing soon • India: Goa introduces Olectra electric buses in its fleet • Planned comparison with catenary trucks • geely Auto forms new electric car company Zeekr • India Electric Vehicle (EV) Market Report 2021 • Sindh govt launched their electric bus project • 2024 GMC HUMMER EV SUV Kia has unveiled the EV6 with images of the car’s exterior and interior. debuts during March Madness The company calls the EV6 its first “dedicated battery electric vehicle,” • 44 Irizar e-buses headed to meaning its the first car in Kia’s lineup to be electric-only (unlike, Bulgaria say, the Kia Niro, which also comes as hybrid). The company saved • India: Hyderabad-based startup the details on the EV6’s specifications for the March launch. The EV6 developed the electric scooter is based on Hyundai Motor Group’s new Electric-Global Modular EPluto 7G Platform or E-GMP, which is the company’s foundation for electric • Vitesco Technologies drives the vehicles going forward. development of e-mobility towards a mass market • Dongfeng Motor partners with Xiaomi to invest $10bn in electric vehicle Aulton for battery swapping Xiaomi announced that it is getting into the electric car business. business It said that it will invest an estimated $10 billion over the next • India: Flipkart partners with 10 years, starting with an initial investment of $1.5 billion. Xiaomi Mahindra Logistics to accelerate will set up a wholly-owned subsidiary to run its electric vehicle use of EVs business, with the company’s chief executive Lei Jun heading up • Chevrolet Silverado electric pickup the new venture. The company has given no indication about whether it will produce and GMC HUMMER EV SUV to be budget models or target the top end of the market. built at GM’s Factory ZERO plant • India: Karnataka has ‘big focus’ on electric vehicle adoption Jaguar I-Pace, the all-electric performance • All-new KONA N with Eight-speed N DCT and 2.0 Turbo engine provides SUV, launched in India from `105.9 Lakh uncompromising performance to Jaguar Land Rover India launched the all-electric Jaguar I-PACE Hyundai customers in India with a starting price of ₹ 105.9 Lakh. The Jaguar I-PACE is • Ampere Electric announces powered by a 90 kWh battery that delivers 294 kW power and 696 ‘Ampowering Change’ Nm torque, allowing the I-PACE to accelerate from 0-100 km/h in • Meghalaya announces EV policy just 4.8 s. • Lion Electric announces the Since its launch, the Jaguar I-PACE has won over 80 global awards, construction of its battery including the prestigious World Car of the Year, World Car Design manufacturing plant and innovation of the Year, and World Green Car in 2019, making it a true electric center in Quebec vehicle icon within a short span of time.
56 | Telematics Wire | April 2021 Merger, Acquisition & Partnerships
Momenta and Toyota to collaborate Industry News Updates on automated HD mapping • hyundai and Shell sign new agreement Momenta has announced partnership with Toyota to provide to expand collaborations on clean energy automated HD mapping and updates through vision-based solutions technologies. • Volkswagen Group and bp to join forces to Momenta’s vision-based HD mapping uses low-cost consumer- expand ultra-fast electric vehicle charging grade sensor sets, which consist of camera, GPS, and IMU to across Europe automatically generate HD maps with 10cm level relative accuracy • Momenta and Toyota to collaborate on by using technologies such as deep-learning based perception, automated HD mapping SLAM (simultaneous localization and mapping), etc. Momenta’s • hyundai Motor and Singtel MOU HD map not only includes rich geometry features, such as traffic signs, poles, lane borders, traffic lights, road markings but also • Leading UK bus operator extends partnership generates road level & lane level topology and semantic features. with MiX Telematics By processing big data through automated mapping pipeline, the • eCARX and Volvo Cars to setup JV for HD map can be updated with high frequency, thus provides a “live”, infotainment platform reliable map for different autonomous driving modules such as • Unity and HERE collaborate on real-time 3D localization, planning and control. in-vehicle experiences • Volvo partners with Aurora to the deployment Argus collaborates with Microsoft to bring of autonomous trucks • ABB and Amazon Web Services to build EV cyber security cloud solution to vehicle fleet management platform manufacturers with Microsoft Azure IoT • Argus collaborates with Microsoft to bring Argus Cyber Security has collaborated with Microsoft Azure cyber security cloud solution to vehicle IoT and joined the Microsoft partner network to provide vehicle manufacturers with Microsoft Azure IoT manufacturers the ability to monitor, detect, and mitigate • Panasonic, McAfee agree to join to tackle attacks in the cloud. vehicle cybersecurity Argus cyber security solution, integrated with Azure IoT for • globalLogic to be acquired by Hitachi automotive applications, includes Argus Fleet Protection, an • human Horizons works with JOYNEXT, Automotive Security Operation Center (ASOC) solution, in-vehicle Quectel and Qualcomm to feature intelligent insights from Argus Connected ECU Protection, and update in-vehicle experiences in new HiPhi X sports capabilities with Argus Software Updates Over-the-Air (OTA). utility vehicles Argus Connected ECU Protection, deployed on connected ECUs such as telematics, infotainment centers, and ADAS units, detects • SiriusXM expands into Mexico with operating system anomalies and suspicious activity in the vehicle NissanConnect® Services according to customer-defined threat models. By integrating end- • Spirent acquires octoScope to expand WiFi to-end automotive cyber security with Microsoft Azure IoT, vehicle test capabilities manufacturers can leverage data across a wide range of sources to • hARMAN acquires 5G Edge and V2X leader build a more accurate, all-encompassing cyber intelligence picture. Safari • Daimler Truck AG and the Volvo Group Goodyear and TNO to demonstrate an complete creation of fuel-cell joint venture: cellcentric Intelligent Brake System • LG Elec leads series A funding for U.S. The Goodyear Tire & Rubber Company and Dutch research connected car solution startup CerebrumX organization TNO are collaborating on a demonstration vehicle that • goodyear and TNO to demonstrate an will test the implications of connected tires talking to the vehicle’s Intelligent Brake System control system, most specifically the anti-lock brake system (ABS). • Cruise acquires Voyage in another By connecting Goodyear’s intelligent tires with a vehicle’s ABS autonomous vehicle merger system, braking performance can be optimized for the situation • TDW Distribution selects Microlise as and tire state while helping with the steerability of the vehicle. technology partner for the long haul Previous studies by Goodyear indicate that integration of these two • Purdy Mobility and Toyota launch mobility components can reduce the stopping distance loss by about 30%. solution: Subscribe + Drive Powered by Both companies are focused on maximizing potential safety and Toyota sustainability implications and expect to share results in early 2022.
April 2021 | Telematics Wire | 57 India
Nitin Gadkari announces vehicle scrappage policy in Lok Sabha The Union Minister, Nitin Gadkari, personal vehicles. companies, and the like. has announced the vehicle • Manufacturers will be advised Appointment for fitness centres scrappage policy in the Lok Sabha. to provide a discount of 5 may be booked online and tests The Minister said scrapping older percent on buying new vehicles reports shall also be generated vehicles and recycling them will be against a scrapping certificate. in an electric mode. The tentative a win-win policy for everyone. The • In addition, the Ministry is also timeline for application of the scheme will provide incentives to considering waiving registration proposed Scrappage Policy is – owners of old vehicles to scrap unfit fees of new vehicles against the • rules for Fitness Tests and vehicles via registered scrapping scrapping certificate. Scrapping Centres: October 1, centers. Some of the incentives The Ministry of Road Transport 2021 outlined by the Road Transport and Highways will promote fixing • Scrapping Government and Ministry include: Registered Vehicle Scrapping PSU vehicles above 15 years: • Scrap value given by scrapping Facility (RVSF) across India and can April 1, 2022 centre is approximately 4-6 encourage private participation for • Mandatory fitness testing for percent of the ex-showroom opening such centres. Similarly, the heavy commercial vehicles: price of new vehicles. Ministry will promote setting up of April 1, 2023 • The state governments may Automated Fitness Centres on a • Mandatory fitness testing be advised to offer a road-tax PPP model by the state government, (phased manner for other rebate of upto 25 percent for private sector automobile categories): June 1, 2024
Triton Electric in talks India won’t extend 2022 deadline for tighter fuel with Karnataka govt efficiency rules for carmakers to set up plant in India India will not extend an April 2022 deadline to tighten fuel efficiency standards, in a potential setback for carmakers which are lobbying for more time, government and Triton Electric, the US- industry sources told Reuters. headquartered company that plans Prime Minister Narendra Modi has set aggressive carbon reduction targets to introduce electric cars in India, under the Paris Accord and not extending the deadline to tighten the corporate held an extensive discussion with average fuel efficiency (CAFE) requirements could be part of this agenda. the Karnataka government. Led by Himanshu Patel, CEO and Founder Volkswagen Tiguan Allspace unveiled in Indian of Triton Electric, held a virtual meeting with Chief Minister B S market Yediyurappa. Volkswagen has revealed the 2021 Tiguan Allspace for the Indian market. The The company plans to introduce SUV is imported as a completely built unit (CBU). It is one of the four cars that an N4 sedan in India with a price are part of the brand’s SUVW strategy. starting at `35 lakh. Recently the Powered by a 2.0-litre, turbo-petrol engine, the 7-seater SUV featured with company registered the Indian panoramic sunroof, digital instrument cluster, touchscreen infotainment head- subsidiary by the name of Triton unit with Apple CarPlay and Android Auto and automatic tailgate to name a few. Electric Vehicles India in New Delhi. Driverless pod taxis to connect Greater Noida Ashok Leyland to with Jewar International Airport bring electric vehicles According to the Yamuna Expressway Industrial Development Authority (YEIDA), from UK subsidiary the DMRC will be responsible for developing the pod taxi service that will connect Greater Noida and Jewar International Airport, regarding which a detailed project Ashok Leyland through its UK report (DPR) will also be presented soon. Reportedly, the estimated cost of the said subsidiary Switch Mobility, project is estimated to be around INR 50-60 crore per km, which will bring the total announced its expansion plans cost of the project to an estimated INR 1250-1500 crore. into India and its plan to create Referring to this, MLA Dhirendra Singh said that though there is metro connectivity two subsidiary companies. to Greater Noida, Jewar International airport is around 25 km away from Greater The first, Switch Mobility Noida city; thus, this option has been considered. He added that to bridge the said Automotive and the second is distance gap, pod taxis will be useful. The upcoming Jewar Airport will be easily OHM Global Mobility Private. accessible via road from Rajasthan, Haryana, Delhi and a large part of Uttar Pradesh.
58 | Telematics Wire | April 2021 tw story How Vishal Bajpai’s distant vision of protecting connected vehicles from cyber attacks turned into a successful venture?
The world of IT security has always fascinated Vishal Bajpai who is currently serving as Co-founder and CEO, SecureThings. Like any other software engineer, he had dreamed of starting his own product company since his college days. Vishal comes with 21+ years of industry experience and is an expert in the Automotive Cybersecurity domain. Prior to venturing SecureThings, he was leading the Automotive Cybersecurity team in Symantec, USA. His mission is to create awareness and safeguard society from cyber threats, especially in the automotive ecosystem. He has co-authored the bestseller ‘Cracking The Rich Code Vol 3’ with Jim Britt, who is one of the World’s Top 20 Success Coaches & Kevin Harrington, who is one of the original Sharks on the Shark Tank series.
n 1997, Vishal was doing a summer internship at IIT Kanpur where he used to work till late at night in the Iresearch labs and also spent a lot of time discussing innovative ideas and concepts with his friends. It was during this time that he openly expressed his desire to start his own venture in Silicon Valley one day. Vishal has worked with Symantec, both in India & the USA for more than 15 years. It was Symantec USA, where he got the opportunity to work in the domain of automotive connectivity and cybersecurity. Year 2014, was a milestone year in the automotive industry, when a couple of researchers demonstrated how a car can be hacked which he found a very crucial area Vishal Bajpai, Co-founder and CEO, SecureThings as a remote attack on a vehicle was and has been a huge concern. Vishal recalls it solution for the vehicles. When we looked at about cyber threats within the vehicle, as the big turning point in his life and he the vehicle, many other unknown areas were through different industry-specific events eventually put a lot of thoughts into it. He not being touched. So the notion and conviction participation. Vishal is a regular speaker considers himself lucky to get a chance to of providing a complete and secure solution in different events, talking on his passion work on automotive cybersecurity within that can build trust among manufacturers, - automotive cybersecurity, creating Symantec where he spent the next three suppliers as well as vehicle owners to enjoy this awareness about the cyber threats that the years researching how the team can build automotive transformation triggered the idea current vehicle may have. machine learning models using vehicle to start SecureThings, in late 2017,” says Vishal In 2019, Vishal set up an automotive network communication to detect cyber- Bajpai. cybersecurity research lab in his office attacks. He even got an opportunity to When Vishal started his journey and subsequently started looking at the work very closely with the University of towards entrepreneurship, the western threats within the vehicles running on Michigan Transportation Department market had already accepted the problem the road. Startups face many challenges and top OEMs. That experience was an of emerging cyber threats in automotive. especially during the initial stage but eye-opener for him as he could clearly Eventually, he decided to set up his main with this strategy SecureThings started see the severity of that threat. Along with R&D center in India. Vishal believes that receiving good response from the market this, he was very aware of the solutions India’s location is going to be very strategic, especially from the manufacturers and being provided by the existing players at both in-terms of growing automotive suppliers who used to resonate well while that time. His three years of research and market as well as the talent pool. In 2017- accepting that cybersecurity issues are a domain knowledge motivated him to 18, in India, nobody was envisioning big threat for the future of smart mobility. launch a startup in this domain. the need for cybersecurity solutions for As a result of the continued efforts by “The thoughts and ideas that I had were very automotive as it was something five years manufacturers and different bodies, different. While the existing solution providers down the line. It was quite challenging for the Government of India amended the were looking for a specific problem, my belief the team at SecureThings but they started Motor Bill in 2019. The bill stated that was to provide a complete safeguarding educating, showcasing, and talking the manufacturer is liable for any threat
60 | Telematics Wire | April 2021 to the vehicle, be it electronics, software, by taking some smart initiatives. He what has been the focus of SecureThings or any other thing that can cause damage further adds that his team is consistently since its inception. or harm to the driver, passenger, or enthusiastic and passionate about its Vishal’s bold strategy to gain automotive surroundings. This brought a lot of change work- that’s what keeps him motivated! cybersecurity market share in the country since late 2019 as everyone started taking Talking about his journey so far, like India at the time when not a lot of cybersecurity seriously while working on Vishal says, “So far, my journey has been vehicle manufacturers & suppliers were developing various standards, driven by fascinating, nothing less than a dream come talking, resulted in a masterstroke. In a very the regulations. true! I still remember those nights when I short span of time, SecureThings has made Cybersecurity has now become one used to sit and brainstorm ideas, creating a mark in the automotive industry and is of the top priorities of manufacturers mind maps on how to build a successful presently working with various top vehicle and suppliers. With connectivity venture. I still feel the same energy and now manufacturers, components suppliers coming in, cybersecurity cannot be I’m even blessed with a great team of people working towards protecting their vehicles ignored especially in India, which is who are as passionate as I am about what and solving their real-time problems. At the third-largest country in the world we’re here to do.” present, the brand is working with all where cyberattacks happen. Being SecureThings’s rise has been nothing segments- commercial vehicles, passenger more cybersecurity-ready has become a short of meteoric but the road to success vehicles, two-wheelers, electric bikes, and priority pursuit for the entire automotive is never easy. The brand that started more. As we are stepping into the era of ecosystem across the globe from the building cybersecurity solutions with connected mobility, all the market players manufacturers to their suppliers. Vishal only one engineer in early 2018 is now are witnessing newer business opportunities turned his distant dream into reality not being recognized as one of the automotive and at the same time face unique sets of by wishing upon a star, but by converting cybersecurity leaders by the top analysts challenges that need to be addressed on it into a concrete vision. Now, he is ready in India. Vishal Bajpai is creating a name an urgent basis. Vishal finds it exciting to to challenge global competitors in the in Automotive Cybersecurity, with his solve these challenges, adding value to their automotive cybersecurity domain. command in this domain and innovation. customers and creating awareness about the Building a startup is both challenging He is also helping in policy making, growing need for end-to-end solutions for and exciting and being a first-time leading a task force within Automotive vehicle security to ensure the protection of entrepreneur, Vishal Bajpai also had to Component Manufacturers Association software, devices, and data. face many financial challenges, especially (ACMA) to come up with cybersecurity Shedding more light about his future during the early stage. As a founder, he policy recommendations. plans, Vishal says “We are now growing in the made significant investments to start this Vishal started the research lab in 2019 USA and in the next couple of years, we are venture and put it back into speed. In intending to identify all the relevant planning to expand into other key automotive mid-2019, Vishal met the investor who automotive-related cyber risks. So far, markets like Europe & Japan. India, which is believed in the team’s conviction and had SecureThings’s research shows that even becoming a major and a critical market will shown commitment to support in building today more than millions of vehicles always be strategic to us. We will be building industry-leading solutions. Eventually, running on the India roads are vulnerable. more partnerships, relationships with the SecureThings raised funds to foster This research helped the team to know academia and growing SecureThings brand business growth and scale the operations. some unique attack areas and the solutions while solving the problems of global customers Till 2019, the startup was flying high, for the same differentiates the brand from with our implacable solution.” and then came the pandemic. COVID-19 its competitors. Today, SecureThings At SecureThings, the team believes has had and continues to have a dramatic is the only automotive cybersecurity that innovation is in their DNA and they impact on businesses around the world provider globally that offers six layers are putting a lot of effort into establishing and it was no different for Vishal. of protection to the vehicle ecosystem. research in newer areas like V2X (Vehicle However, he feels extremely proud of his Vishal brings his domain expertise and to Infrastructure), electric vehicle team members, associates, partners and understanding of the system to define the charging stations, etc. They are all set to most important family who have been company’s product strategy. make more investment on the research his pillars of strength helping him get The team was able to find ‘n’ number side to come up with more unique and through the tough times. But as a strategic of problems that the automotive industry innovative products for their customers. entrepreneur, he decided to convert the is facing with the advent of emerging Vishal concludes with a message for Covid crisis into an opportunity and as technologies. It has thus become crucial the startup enthusiasts and budding result his team came out with unique for the automotive industry to make entrepreneurs, “Entrepreneurship is industry-first as well as innovative vehicle cybersecurity an organizational fascinating, think about customer problems solutions for the automotive industry. priority. Today, vehicles are more software- and come up with innovative ideas that can During this pandemic, initially it was driven than mechanical, generating a bring a difference. You need to take a bold difficult for the team to work from home lot of critical data that is vulnerable to step; you will face a lot of challenges, but you and collaborate considering the nature tampering and spoofing. To keep up with should go with your conviction. Be strong of the work, but the team rose to the the process of digital transformation in and just look around, you will find ways and occasion and became very productive the automotive industry, the data must be the support. Remember, if your conviction is with increased communication and secured from outside attacks and this is strong, you will always succeed!” o
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