Jointly Published by Center of Excellence - IoT and Telema cs Wire

F.A.C.E.: Four-Wheel Drive, Autonomous, Connected & Electric Maru Suzuki’s intent for Future Mobility

SMART AUTOMOTIVE Mar - Apr 2018

CEO, Center of Excellence - IoT Sanjeev Malhotra Editor & CEO, Telema cs Wire Maneesh Prasad Expert Speak Director, Telema cs Wire Lt. Col. M C Verma (Retd.) A new rela onship between cars and people is emerging 10 Shalini Kapoor, Director & CTO – Watson IoT India, IBM Distinguished Engineer Project Director, Telema cs Wire Anuj Sinha India has been a ‘fast-follower’ of the trends in automo ve industry 22 Corporate Sales Manager, Telema cs Wire Warren Harris, Chief Executive Officer & Managing Director, Tata Technologies Akanksha Bhat Center of Excellence - IoT Arjun Alva

Thought Leaders For Editorial Contact Asst. Business Editor, Telema cs Wire Enabling Connected Mobility in India 6 Aravind Doss, Associate Vice President, Telematics, Harman International; Piyush Rajan asst.editor@telema cswire.net Pratapaditya Singh, Principal Engineer - Telematics division, Harman International; Pravin Samuel, Sr. Manager, Operations, Telematics, Harman International Asst. Editor, Telema cs Wire Yashi Mi al Assembling a Connected-Car Using MicroServices 12 +91 98103 40678 Ragu Sivaraman, Founder, MacMetry asst.editor2@telema cswire.net

The Role of Simula on in Development of Reliable and Safe Autonomous Vehicle 14 For Adver sement Contact Ashok Khondge, Principal Engineer, ANSYS Customer Excellence, ANSYS, Inc. Corporate Sales Execu ve, Telema cs Wire Kri ka Bhat Perspec ves on the Future of Smart Automo ve in India 18 +91 - 98103 46382 business_exec2@telema cswire.net Sudipta Ghosh, Partner, PwC India, Data and Analytics Leader Content Support Connected Cars: Innova on Driven by Data 26 Rudravir Singh Simon Papel, Product Manager, Data-Management, CMORE Automotive GmbH Asst. Web Developer Electric Vehicles & Connec vity Driving the Indian Passenger Vehicles 30 Amit Kumar Towards Intelligent Mobility Kaushik Madhavan, Director, Mobility Practice (Automotive & Transportation), Designer Frost & Sullivan MENASA Deepak Kumar Publica on Address The Opportunity for Engineers as Domain Experts in Closing the Data Scien st Gap 36 Aeyzed Media Services Pvt. Ltd. Wensi Jin, Automotive Industry Manager, MathWorks D-98 2nd Floor, Noida Sec-63 U ar Pradesh-201301 Smart City Frameworks of the Near Future 38 Email: [email protected] Opeyemi Thomas, Founder and CEO, Roadi Printed and Published by Maneesh Prasad on behalf of Aeyzed Media Services Pvt. Ltd. Industry Insights 24Aeyzed Media Services Pvt. Ltd. D-98, 2nd Floor, Noida Sec-63 U ar Pradesh-201301 Startup Corner Email: [email protected]

Intellicar Telema cs 42 Printed at M/s Vinayak Print Media, D-320, Sector-10, Noida, Gautam Buddha (UP)-201301 and publica on at A3/107, Block 12, Kailash Dham, Sector-50, Noida, Gautam Buddha (UP)-201301 Please Note: No material may be reproduced in whole or part without permission of Aeyzed Media Services Pvt. Ltd. Copyright 2016, Aeyzed Media Pvt. Ltd. All rights reserved Aeyzed Media Services Pvt. Ltd. and Smart Automo ve does not necessarily subscribe to the views and ar cles in this magazine. RNI No. UPENG/2015/63476

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aymo will soon be providing shared mobility services in Arizona. With a business model where they have partnered with players from automo ve W manufacturing, repair & maintenance service provider, insurance company and others, they have kept themselves focused on improving the self-drive capability of the vehicle based on millions of miles of test drive. Self-driving vehicle in shared mobility will bring down the cost of the mobility, besides providing convenient and safe mobility. Once Waymo tests its ground in shared mobility through self-driving autonomous vehicles, it is expected to provide similar services in other geographies, including India. When, they will launch such service in India? Certainly not soon. But, whenever there are here they may look for similar partners for Pan-India repair and maintenance(like Carna on Auto etc), insurance service(similar to those covering our travel through railways or air) and an automo ve partner to provide the vehicles. The world of Ola and others will change with compe on going to a new level with Waymo. A similar situa on which the home-grown company like MapmyIndia is having in geospa al mapping space Maneesh Prasad with Google Maps. Editor & CEO Con nuous update in policies and regulatory framework to accommodate and encourage research and test of new technologies is essen al today. Policy makers will have to move from allowing only things which are done somewhere by somebody, to a new genera on of policy making based on thought leadership. There are several players including startups working in autonomous vehicles, but we do not have a framework to encourage these ini a ves through regular policy update or coordina ng body. I hope government will not be forced to take a so approach(knowingly ignore viola ons of exis ng archaic policy) to autonomous vehicle 10-12 years down the road, just as they have done in the fi eld of geospa al mapping. It will only s fl e our own capacity building and keep us in basic consumer mode. No wonder where Ordnance Survey(Na onal mapping agency of Great Britain) has been mandated (E CAVE Project, Jan’18) to update its map data for connected and autonomous vehicles, here in India people ques on- Why shouldn’t Survey of India be dismantled? Before we could witness shared mobility service transi on into self-driving shared mobility, there are surely few things which connected vehicle can help us with: Safe Driving: Over the last couple of years we have seen the increasing presence of Ola/Uber on roads, which has been a great service to us all. Once you board a taxi, as it hits the broadway/highway, at mes I have seen it starts over-speeding(now becoming frequent). Many a mes bea ng Google Maps es mated me hands-down, reaching the des na on much earlier. As the taxi-aggregator has the track of vehicle, a system(so ware) based check on vehicle speed can ensure that if there is an over- speeding, there is a voice/visual alert/prompt to the driver(an online feedback) to check over-speeding. Detour Preven on: Once the best route has been worked out based on various weightage, any devia on should be prevented by backend system monitoring the vehicle movement. Alternately an op on for the passenger to alert a detour can also be provided. This may not only lead to lesser over-billing, but larger benefi t could be in the form of safe commute, specifi cally for passengers who are new to a city. Early this month on 9th February Department of Telecommunica ons, Govt of India, through its direc ve asked telecom service providers to start issuing 13-digit numbers for machine-to-machine (M2M) services, which will be made available to users from 1st July 2018 onwards. The exis ng 10 digit M2M SIM will be ported to 13 digit SIM between October to December 2018. I hope such direc ves brings us closer to achieving the milestone of crea ng a US$ 15 billion IoT industry(TRAI recommenda on, Sept’17) in India by 2020.

www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.5 THOUGHT LEADERS Enabling Connected Mobility in India

year ac on plan charted out by Ni (TCU) which can support this technology Ayog, automobile sector can contribute become impera ve for the successful towards the Smart Ci es Mission by adop on of connected mobility. off ering aff ordable, safer and low carbon HARMAN and Samsung are jointly transporta on. developing modular solu ons for Since the launch of Smart Ci es Mission, advanced telema cs which will be the need for Smart Mobility is fast capable of providing one Gigabit/second catching up in India. bandwidth. 5G connec vity can prove Smart Mobility will bring in safety of to be the major enabler in terms of the users, effi ciency in the cars, protec ng infrastructure to develop the ecosystem the environment. We can achieve this for connected mobility. through the Vehicle to Everything (V2X) technology where the auto industry is 5G: Enabler for Connected working to build the right ecosystem. Mobility India has been a rapid adapter of 5G Connec vity is envisioned to cater to technology which has improved the three broad categories of services: quality of life over last few decades. For 1. Enhanced Mobile Broadband (eMBB): Aravind Doss instance, Google Maps has redefi ned the Enhanced Mobile Broadband will Associate Vice President, Telema cs way India travels and has made naviga on lay founda on for immersive In Car Harman Interna onal through busy roads easier. Similarly, experiences and augmented reality. Aravind Doss is the Associate Vice India recorded its one-billionth mobile In automobile there will be a surge in President of Telema cs Business Unit at phone customer which at one point of bandwidth requirement and need for Harman (a Samsung Company). He heads me was considered luxury. India being sustained high capacity with mul ple the eff ort to develop Next Genera on a cost sensi ve market, every technology sensors exchanging data. Telema cs solu ons. His focus is to create cu ng edge Telema cs to enable that is developed must appeal to masses 2. Ultra Reliable Low Latency new use cases like 5G/V2X/ADAS/ which defi nes the scale and success of the Communica on (URLLC): V2X and Autonomous driving, and op mizing product off ering. Infrastructural support automated driving which are mission the cost/value to allow for adop on such as 5G communica ons technology of Telema cs across mul ple market cri cal will require an ultra-reliable segments. and Advanced Telema cs Control Unit extremely low latency communica on.

Today, cellular and wireless media are enabling a connected world where informa on exchange has become easier. The biggest example is the Internet of Things, which enables smart connec vity, star ng from home to smart ci es - where we are trying to create a connected world. This is enabling a be er way of life, op mum u lisa on of resources and improved produc vity. Similarly, automobile industry is also adap ng to connected technology where vehicles are connected in an ecosystem and are sharing informa on on traffi c as well as Roadside Unit (RSU), such as traffi c lights, public transport system, road work warnings, and variable message signs. India’s Smart Ci es Mission has promoted sustainable and inclusive ci es that can provide low carbon transporta on and core infrastructure. Ni Ayog has created an ac on plan to provide convergence of Amrut, Smart Ci es mission and low carbon transport. As part of this three

PG.6 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com 3. Massive Machine Type Communica on down or speed up when approaching a (mMTC): Smart ci es, home and cars traffi c light to avoid halts and traffi c build will have mul ple sensors, which will up at intersec ons. This results in vehicles keep genera ng massive amount of being provided with op mal speed profi le data that needs to be communicated to me traffi c lights and reduce queues at via gateway to cloud. intersec ons. With growing popula on, increased Signal Viola on Warning & Advance use of technology, internet penetra on Signage assistance: This use case enables and ever evolving auto technology, a connected vehicle alert to the driver if driving experience is undergoing a major the vehicle approaching traffi c signal is transforma on. on a trajectory that would be viola on of The ma er to be considered is whether the traffi c signal. It also helps to inform Connected Mobility has solu ons for driver in real me and well before line the future growth in India by solving of sight about dynamic signs due to the key issues such as traffi c conges on road maintenance, road closings and management and accident preven on. reduced speed limits. All these would lead to effi cient vehicle performance and mileage, which are key ingredients to Pravin Samuel directly benefi t the user with the reduced Traffic Congestion Management: Sr. Manager, Opera ons, Telema cs As per a recent Revised Master Plan 2031 fuel bills. Harman Interna onal by the Bangalore Development Authority Road Accident Prevention: Pravin Samuel is responsible for and reported by The Times of India, 10 Telema cs Technical Sales Engineering million Bengalureans lose 60 crore hours, A report by the Ministry of Road Transport at Harman with major focus on INR 3,700 crore a year to road conges on. & Highways published by The Indian enabling Connec vity solu ons for Automo ve OEMs in Asia. With Automo ve connec vity will be off ered Express says that India witnessed 17 addi onal responsibili es in the Product through 5G, C-V2X enabled by enhanced deaths and 55 road accidents every hour management for Telema cs, he has mobile bandwidth (eMBB) and ultra- in 2016, one of the highest in the world. more than 13+ years of experience. He is an inventor and holds 2 patents in the reliable low latency (URLLC). These Forward Collision Warning: Intended a ermarket Test equipment domain. provide mechanisms for vehicles to receive to provide warning to the driver of the real me informa on from Smart City trailing vehicle that it is on a trajectory to braking and steering control. A vehicle can Command Center, Emergency recovery collide with a leading vehicle, which has also be out of control if the driver has lost teams about specifi c scenarios, city/ stopped or moving at a slow speed. Every consciousness or fallen asleep. If a vehicle roadway projects, lane closures, traffi c, year due to fog and smog several vehicles has lost control, aler ng nearby vehicles and other condi ons that may necessitate collide serially due to low visibility. adjustments to route, take a detour, or may avoid possible collisions. This is Emergency Brake Warning: Intended to use an alternate public transport. Few common in winter condi ons in North improve awareness and reac on me, specifi c scenarios as below: India and in hilly areas. provide drivers with mely alerts of ‘Do not pass’ Warning: This use case Emergency Trajectory Alignment: nearby emergency breaking events to warns drivers of the risk of collision when Emergency Trajectory Alignment targets handle unexpected situa ons. Several a emp ng a manoeuvre for overtaking. the transport in city limits and on accidents happen on undivided roads Non-compliance to lane discipline and Highways. Es mated Time of Arrival where sudden braking of the leading overtaking from le , leads to lot of can be u lized for intelligent naviga on vehicle, which is not visible leads to accidents. An advance ‘Do not pass’ system with the situa onal informa on severe pile up. of the vicinity and managing the traffi c warning can prevent these accidents. A Abnormal Vehicle Warning: There are queues, resul ng due to an accident. tell-tale symbol on the dashboard might numerous situa ons and scenarios Vehicles near the mishap loca on will give an indica on of ‘Do not pass’ warning whereby a vehicle maybe opera ng be able to share geographic informa on and when it is safe to overtake. outside of normal or expected parameters. with other vehicles and infrastructure, to Emergency Vehicle Warning: This This use case is intended to provide provide enhanced situa onal awareness use case alerts drivers of approaching vehicles with means to no fy surrounding and re-calculate trajectory/path. When emergency vehicles. Emergency vehicles vehicles that they are opera ng outside of a vehicle ahead is blocked, this may may be approaching at high speed from normal parameters of speed, traffi c signal cause traffi c conges on. The roadside direc ons that are diffi cult to see, such and road signage compliance. infrastructure detects queue status on the as from behind or from lateral direc ons road due to an accident or traffi c jam. In Some common examples in India are of at intersec ons. There are instances addi on, the roadside infrastructure also trucks loaded beyond their actual capacity where a clear drive way is not provided collects loca on of all vehicles and passes or an oversized vehicle. to the emergency vehicles. An advance the conges on and queue informa on to Control Lost Warning: There are indica on to driver of emergency vehicle every vehicle. numerous scenarios that can lead to approaching and passive monitoring Traffi c Light Op mized Speed Advisory: loss of control. Wet, snow covered and of vehicles by traffi c authori es can Driver of the vehicle is advised to slow icy road condi ons can lead to a loss of help avoid accidents and also ensure www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.7 India Signs Up Billionth Mobile-Phone Customer Becomes second country to hit the milestone after China

Pratapaditya Singh Principal Engineer - Telema cs division adherence to strict rules of giving way to communica on that can help driver take Harman Interna onal emergency vehicles. decisions to slow down, stop or change Pratapaditya Singh is responsible for Vulnerable Road User: Vulnerable lane and ensure pedestrian safety. As we 5G Telema cs pla orm defi ni on and touch upon the few use cases that benefi ts leading the 5G pla orm quality assurance. pedestrian might be a pedestrian or an Pratap previously worked at Intel and has individual using a bike, eBike, skateboard the user with decrease in recurring vehicle delivered 2 lifestyle products. that is travelling along the road. Driver of maintenance and opera ng expenses, it also brings in the safety aspects for the He holds a Master’s degree in Computer the vehicle needs to be informed about applica ons from RV College Bangalore. a vulnerable road user and be warned whole mobility as such. Hence, with the of any risk of collision. Vehicle loca on, appropriate customiza on of the use safe stopping distance and lane change, cases to suit the Indian mobility eco- to avoid collision, primarily depends system, we should get to the connec vity on posi onal accuracy and low latency space for automobiles swi ly.

EV market in India expected to grow in double digits

According to a recent ASSOCHAM - Ernst • Going forward, EVs will be a stepping- • With the growing use of telema cs and Young joint study, tled “Electric stone in designing an intelligent across mul ple services such mobility in India: Leveraging Collabora on transport infrastructure in India. The as EV to grids interac on, fl eet/ and Nascency,” the sector has poten al roadmap to electric mobility vision asset management, naviga on and to witness signifi cant growth in coming is based on growing collabora ve loca on-based systems, insurance, years. EV market is expected to grow in economy and prolifera on and success V2V, V2X systems, remote alarm and double digits annually in India ll 2020. of electric and shared mobility business incidence monitoring, safety and The important points brought up by the models. security; telema cs is poised to grow study are: • There is an urgent need for crea ng at a compounded annual growth rate • Telema cs market in India is s ll charging infrastructure at a rapid pace (CAGR) of 31.2 percent ll 2020. nascent, however, it is poised to grow as it is the determining factor for the • Embedding telema cs into EVs can at a much faster rate ll next couple of growth of EVs. facilitate loca ng nearest charging years as growing consumer demand • The share of public charging is sta on, reserve spot at charging for electric vehicles (EVs) is leading expected to grow, however, home sta on, enable smart charging, vehicle rising investments in the sector. charging would s ll con nue to be the to grid charging, me of charging (users • The absence of an EV supply dominant source with a share of nearly can charge at off -peak hours when chain in the country demands an 70 percent in 2030. rates are lowest) and no fy people urgent investment in research • EV adop on will be highly dependent when charging stops or is unplugged. and development (R&D) and local on the pace of fall in ba ery costs as • The global telema cs market is poised manufacturing capabili es. EVs are signifi cantly more expensive to grow exponen ally, with 104 million • EV industry at present in India is at a than tradi onally propelled vehicles new cars expected to have some form nascent stage in India, comprising less due to the high cost of Li-ion ba eries. of connec vity by 2025. than one percent of total vehicle sales The ba ery cost is expected to decline and is dominated by two-wheelers (95 to US$100/kWh by 2023. • The global market size of telema cs percent). • In order to achieve its electrifi ed will be around US$47.6 billion (bn) • The boost in sales is expected to be mobility target, reclaiming materials in 2020 from US$20.02 bn in 2015 driven by stricter emission norms, from old Li-Ion ba eries in a cer fi ed and 88 percent penetra on of global reducing ba ery prices, increasing and sustainable manner should be a integrated telema cs for new cars is consumer awareness and government huge priority of the Government of expected to be achieved by 2022 push. India.

PG.8 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com

EXPERT SPEAK A New Relationship Between Cars & People is Emerging

IBM provides full lifecycle IoT solu ons threats to in-service vehicles and data for the automo ve industry, from privacy which are aspects of the Drive smart product development to smart phase. We help automakers build and manufacturing, to new service models, design vehicles in a way that they can enhancing the customer experiences. engineer technology to prevent exploits, Our spectrum of solu ons ensure that detect suspicious behaviour and respond intelligent and sustainable vehicles would safely to alarms. be built in the future as we provide vehicle connec vity, deliver personal and At CES 2018 we saw immersive customer experiences and companies introducing AI based disrup on in manufacturing and supply features in cars like Personal chain. Assistants, what are your views on this? Our IoT for Automo ve solu on is an Automakers are converging to industry solu on for connected vehicles provide a much more personalised user that collects, analyses, stores and experience for all the consumers. At CES, Shalini Kapoor takes ac on on vehicle sensor data. IoT IBM collaborated with Harman and Local Director & CTO – Watson IoT India for Automo ve is a vehicle-to-cloud Motors on separate projects to integrate IBM Dis nguished Engineer off ering that enables awareness of the AI into show vehicles. Car’s personal environment beyond the car and helps digital assistant can be put to many uses, Shalini Kapoor drives architecture of new use informa on to establish a rela onship especially when you can ask the car to IoT solu ons for ecosystem partners with the driver, not just the vehicle. Our stop at a res ng place because the baby including IBM’s Global System Integrators solu on enables connected vehicles that in the back seat is crying! and development of IoT Solu ons for can detect driver behaviour pa erns We will lead with solu ons based on clients in India. She holds 11 patents and from dri ing, braking and accelera ons Watson technology, specifi cally, natural has co-authored 4 IEEE papers. She is that indicate poten al danger. As car’s language recogni on and apply them member of CII’s IoT core working group accidents are many mes dependant on to vehicles. As a user of cars, I would defi nitely want to talk to the car while where she works with industry leaders moods of the driver, we totally understand that capturing the emo ons is key to driving and not bother about my mobile on designing India’s IoT policies and or the dashboard screen. ecosystem fabric. predict an accident. As an example of this, Panasonic Watson IoT has been working Automo ve and IBM Watson pushed very closely with the Indian the boundaries of vehicle infotainment How is IoT changing the startups, would you like to systems for tech-savvy and me-crunched automotive industry? What role is comment on their present status travellers with a superior, more relevant, and future prospects? IBM Watson IoT playing in it? in-vehicle experience. The startups have come a long A car today is more an electronics I would like to men on, another off ering way as several OBD devices are being engineering crea on than just mechanical which we are crea ng for Auto companies manufactured in India. As I work with engineering one. It has millions of lines of - Digital Twin. This is emerging as key in Nasscom IoT CoE, I have evaluated several code and almost all parts are connected helping industries bring together systems startups who provide visual analy cs and which enables us to detect, monitor, to gain a view of so ware, hardware camera mounted analy cs on the road, manage and predict behaviour over a and sensors. IBM and Schaeffl er are all of which are highly essen al as we period of me. IoT is game changing partnering to develop off erings to address move towards self-driving vehicles. The for the automo ve industry and can be specifi c cross-domain scenarios which pace at which startups are innova ng and considered as one of the biggest change will provide full system level traceability. adop ng IoT for Automo ve pla orm is which this industry is undergoing. While These off erings will enable engineering, phenomenal. I see the trend going only new so ware is being wri en, new rules manufacturing, sales and opera ons stronger and our partnerships with the are being wri en on what the automo ve professionals to have a full understanding partner ecosystem would be the key to OEM and its clients and partners want to of Schaeffl er’s product lines. know about the insides of the car which is success in this new world of IoT. all about data. Auto companies are turning Will IBM Watson assist in increasingly to cogni ve compu ng to automotive cybersecurity? Considering the present IoT unlock the insights within a car, according in India, how & when do you see Specifi cally for vehicle, we in IBM are to 500 auto execu ves who par cipated it transforming the connected focussing on security at all stages: Design, in IBM’s recent cogni ve compu ng vehicle ecosystem in India? Build and Drive. Most of the consumers study. A new rela onship between cars It is already present in pockets and are obviously more concerned about and people is emerging.

PG.10 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com the wri ng is on the wall- connected industry with Usage Based There are definitely benefits for vehicles will increasingly be more Insurance? customers as PHYD improves safety visible on the roads. It is benefi cial while reducing insurance policy cost, Insurance industry is definitely up to fl eet operators, auto companies, demonstrates safe driving behavior after for a transformation with Pay How you an accident and ensures value added dealers and consumers as data from Drive (PHYD) model gaining acceptance cars can change modus operandi services like young driver monitoring, in the industry. Telematics based stolen vehicle recovery and vehicle of each one of these stakeholders. PHYD insurance is being propelled by diagnostics. There is already prolifera on of OBD technology advances, which continue Insurers on the other hand are devices in the Indian market and to improve cost, convenience and benefited as this solution corrects risk several of them available for buying on effectiveness using telematic devices. misclassification, enhances pricing popular ecommerce sites. Insurance Data has traditionally been one of accuracy, retains profitable accounts, insurances industry’s greatest and companies in India are re-selling auto fights fraudulent claims, reduces most valuable asset. Auto insurance insurance policies bundled with these claim cost, enables lower premiums is fast becoming a big data industry, OBD devices for be er data capture and and most importantly creates a brand with telematics base PHYD potentially driver behaviour analysis. At IBM we work differentiation in a highly competitive changing the business of insurance as with several of these OBD device players market. we know it. to integrate our IoT for Automo ve Last year in September IBM and While in PAYD (Pay As You Drive) drivers off ering and jointly present the solu on Reliance Unlimit announced a pay premiums based on the kilometers to our clients. partnership under which they are driven, PHYD is more mature, bills building IoT Solutions for User based customers according to their individual Insurance for automobiles. Do you think IoT solutions can driving behavior. transform India’s auto insurance

With permission from Arizona DoT, Waymo now closer to launch its robotaxis

Waymo has reached a step closer to launch its self-driving taxis. The company has got permission from the Arizona Department of Transporta on to operate as a Transporta on Network Company. With this permission, the company can now pick up and drop off riders in Arizona on its fl eet of self-driving cars. The rides can be booked through a smartphone app or website, as in case of Uber, Grab, Ly , Ola etc. The company has earlier this year entered into a partnership with Trov and AutoNa on. Trov is an on-demand insurance technology company that will power trip insurance customized for passengers of Waymo’s soon-to-be- launched service. AutoNa on will off er vehicle repair and maintenance through its franchised stores across United States. Waymo will be using Chrysler Pacifi ca hybrid vehicle for self-driving taxis. It is also known that Waymo had recently ordered ‘thousands’ of self-driving Waymo has been off ering the residents companies like Uber, Ly , GM may follow Pacifi ca minivans from FCA. free rides in its driverless cars. Waymo to launch their Robotaxi services, as these companies have also been Waymo will launch its commercial Whenever Waymo launches its working on self-driving vehicle/robotoxis service in Phoenix this year. It has been Robotaxis– which seems very soon– it will for quite some me. tes ng its autonomous cars in Phoenix. be a milestone in shared mobility. Other

www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.11 THOUGHT LEADERS Assembling a Connected-Car Using MicroServices

When it comes to connec ng drivers and • Con nuous Integra on and technology, the auto industry has a longer deployment: Features that are added and richer track record than any other to a service must be visible at once, so that compa bility with other services can be tested automa cally • Code quality: The same code is used in diff erent projects. So the demands on so ware code quality and genericity have increased

What are MicroServices? Over the past decade, most applica ons were deployed using monolithic architecture design principles. This means in an applica on all modules, libraries, and inter-dependencies that exist in a single code base is deployed and, sector. Although turning “connected Ragu Sivaraman car” into a signifi cant revenue generator Founder has remained sketchy, its role in the AV MacMetry (Autonomous Vehicle) world is pivotal and will make the car safer, faster, and Ragu Sivaraman was earlier instrumental more effi cient. Furthermore, virtually in launching MacTrac, a two wheeler all autonomous vehicles will require tracking product that augments a rider, a connec vity to ensure that their so ware Dealer and/or Fleet provider to manage services and data sets are current. While and monitor motorcycles in real me the CAV has been the most prominent using tracking device, mobile app and a example of IoT these days, the cars as cloud hosted repor ng solu on. such are increasingly becoming so ware driven and the real cloud based IoT developments in the auto industry are If a Connected Vehicle could talk, it will happening behind the scenes. say “AV, you complete me!!” Welcome the importantly, scaled as a single unit. This OEMs or the solu on provider must Connected Autonomous Vehicle world architecture concept created a signifi cant address the complexity of behind (CAV) where the Connected Vehicle is all impediment in the emerging IoT world. the scenes so ware development about supplying useful informa on to For ex: If a small piece of the applica on requirements with IoT centric use cases in a driver or to the Autonomous vehicle needs a change, the whole applica on mind. Some of the key points include: to help make safer or more informed has to be compiled, tested and deployed decisions. CAV has high demands on • Scalability: Some so ware again. This means that all parts of the the exchange of data and fi les between components are more o en used applica on have to undergo the so ware the connected car on the road, and a and/or more resource intensive development process even though most variety of scalable and agile services in than others, resul ng effi cient ways of the modules don’t experience any the backend. This results in a so ware to replicate specifi c components changes. This comes at big costs taking services life cycle where in which the necessary manpower, me and IT resources and in depreca on and deployment of new • Loosely Coupled: Components in most cases lead to delays. In addi on, a services must happen on a frequent basis. major so ware solu ons can quickly monolith makes it diffi cult to ensure: To solve these upcoming challenges, become outdated. So it is important • Scalability to fi nd a way of exchanging a a scalable and fl exible architecture is • Be Highly Available required. Choosing Microservices as an component easily without aff ec ng • Agile architectural paradigm will enable us to other components achieve scalable and agile CAV backend • Reuse: Many projects use similar • Con nuous Service Delivery that provides with increased opera onal so ware features to work within the To meet these challenges the applica on effi ciency and code quality. cloud. So a set of standard services architecture must change from a big blob used among mul ple projects must of monolith to an architecture design CAV-Architecture Building Blocks be iden fi ed where complex applica ons are composed

PG.12 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com degree of relevance to be applied for the future IoT systems design. When an automobile manufacturer rolls out one or more connected car models, each car may have several user apps (Naviga on, etc.), as well as several sensors that upload telemetry data to the manufacturer’s cloud. Also the manufacturer may want to update the so ware on a frequent basis. In this type of situa on we can use containers and of small, independent processes and and can move en re assemblies of microservices and reap the benefi ts of services, each organized around individual Microservices from one deployment instan a ng one container (container in capabili es and communicate with each environment to another, thereby auto scaling group) per car. Furthermore, other via language-agnos c Applica on achieving infrastructure portability. the OEM backend can even have one Programming Interfaces – APIs. This MicroService per individual sensor since so ware architecture design pa ern is MicroServices in the IoT the container technology can rise to commonly called Microservices, where Automotive World this challenge, of scaling to hundreds these services are primarily small and In an IoT Automo ve world the “Things” of thousands of cars. If there is one focus on comple ng singular tasks. are most of the mes the small machines MicroService per sensor, then an intelligent In microservices architecture, one single with their own processor, opera ng system integra on infrastructure that manages MicroService can be updated and deployed and sensors and contain some (hard- the telemetry messages and compress in a stronger hardware without aff ec ng wired) logic. They can be communicated them, to op mize message traffi c is other services. Also each MicroService using some lightweight APIs. They are required, since the communica ons link can be developed and deployed in a completely autonomous, run in their own between the automobiles and the cloud is diff erent language – Java, C, C++, Scala, process space and deliver a small service limited and is rela vely expensive. Python, etc. Granular governance and decentralized data management where Achieving MicroServices each MicroService label and handle data While Microservices are a separately is also possible. product of so ware architecture Microservices architecture supports and programming prac ces, the automated, integra on with Con nuous poten al mistake in developing Integra on (CI) and Con nuous Delivery Microservices is ignoring the (CD) pipelines allowing developers impact that Microservices can to safely and frequently evolve the have on Opera ons. Microservices applica on and scale-out to be nearly architectures typically produce instantaneous, allowing an applica on smaller, but more numerous to adapt to changing loads. Their ar facts that Opera ons is loose coupling also means that each responsible for regularly deploying MicroService can scale independently and managing. These deployments are called microdeployments. In order to accelerate the development and which means a “Thing” is the ul mate bridge the gap between microservices incarna on of a MicroServices living and microdeployments every OEM must inside the car. nurture a DevOps culture within the Automo ve IoT generates certain types organiza on. DevOps is not a role. DevOps of workloads that promote the adop on is a term that describes the mindset and of MicroServices in a container instead the organiza onal structures that are of virtual machines for a lightweight, required to deeply integrate Development loosely-coupled deployment. Containers and Opera ons for developing encapsulate discrete components of MicroServices based Applica ons. At applica on logic provisioned only with the present, many Auto makers including minimal resources needed to do their job. Ford, Mercedes-Benz, and VW are ac vely Unlike virtual machines (VM), containers adap ng Microservices/Container have no need for embedded opera ng systems (OS) and calls are made for OS architecture principles in developing resources via an applica on programming IoT enabled apps for their vehicles. So interface (API). So when viewed through with a bright future on the horizon, let’s the lens of IoT requirements both welcome the so ware assembly to the Containers and Microservices have a high Vehicle Produc on Assembly Line!! www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.13 THOUGHT LEADERS The Role of Simulation in Development of Reliable and Safe Autonomous Vehicle

manufacturing and will change the society and Ola, opera ng within certain city forever. But crea ng autonomous vehicle limit with constrained border lowering is a formidable technological challenge. the technological barrier. However, this The autonomous vehicle can be described may s ll take several years to develop as a super computer crunching tens of autonomous vehicles given that machine terabytes of data during a few hours of learning based neural network algorithms driving. Developing autonomous vehicle need a lot of data to make them reliable, technology requires ambi ous new and safe. The other op on is to build development in various technologies such machine learning models that will be as sensing, machine learning and ar fi cial able to train with li le data. However, intelligence. such technology development is in The reliable development of machine early phase of research. Finally, it is the learning based vision and percep on simula on, if build properly can help models that imitate human driver under autonomous vehicle engineers to gather all possible driving condi on is a major enough training data and test their problem. An autonomous vehicle’s algorithms in quick me. Simula on has computer needs a 360-degree surround been used in automo ve industry for Ashok Khondge view. It must recognize other vehicles, several decades with proven record of accelera ng technology development. Principal Engineer, ANSYS road signs, pedestrians, markings, trees, With simula on, thousands of virtual tests Customer Excellence, ANSYS, Inc. buildings, traffi c lights, and several other things under all possible driving can be performed on virtual prototypes Ashok Khondge serves as automo ve scenarios and weather condi ons such using computers, enabling accelera on in CAE applica on specialist for Asia region as in the darkness of night or while technology development within a frac on and part of ANSYS Customer Excellence of budget and me required for physical team. Over past 15 years he has held fogging, in rain and in snow etc. This is product, applica ons and leadership roles a diffi cult problem to solve using rule tes ng. Simula on provides three broad providing CAE solu ons to Automo ve based computer algorithms. Autonomous benefi ts namely – Faster me-to-market, industry. vehicle engineers are using machine Reduced cost, and Enhanced product learning based neural network methods quality. Leading automakers across the that can be trained using data rather Autonomous vehicle system is essen ally world are giving high priority to than programmed. Autonomous vehicle a control loop, comprising of four development of autonomous vehicles. engineers train such computer models important elements – physical world, It is a formidable technological by feeding them with enough test data sensors, controllers and actuators (Figure challenge. Studies show that billions of to suffi ciently react to mul ple scenarios. 1). An autonomous drive control so ware miles of road testing will be necessary However, the problem is, it is not easy is embedded on controller with ability to to ensure safety and reliability of or safe to replicate many scenarios in train itself while performing virtual tests autonomous vehicles, yet time-to- the real-world environments. A report such as Model in loop (MiL), So ware in market is short with competition by RAND [1] indicate that autonomous Loop (SiL), and Hardware in Loop (HiL). To heating up. This seemingly difficult vehicles would have to be driven hundreds replicate this autonomous driving system task can only be accomplished using of millions of miles or some mes billions simulation with precision, speed and of miles to demonstrate acceptable within available resources. reliability. Under very aggressive tes ng assump ons, it would take tens of years Background and Challenges or may be hundreds of years to drive Connected and smart vehicles, Ride these many miles. This is an impossible sharing, Electrifi ca on and Autonomous proposi on to develop reliable and safe vehicles are disrup ng transporta on autonomous vehicles. industry today. The global compe on to develop such technologies is hea ng Fast-tracking Reliable and Safe up. New business models will evolve Autonomy taking advantage of such technology To fast track the development of innova ons. The fi rst company to have autonomous vehicles, auto OEMs may the upper hand will win and sustain. start rolling out autonomous vehicles Figure-1 Essential elements of The autonomous vehicle revolu on suitable for constrained environment. autonomous system control will have a major impact on the vehicle OEMs may collaborate with likes of Uber

PG.14 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com Figure-2 Autonomous driving system simulation loop loop virtually – for instance, a scenario where a car approaches an intersec on, looks for crossing traffi c, waits for crossing traffi c to clear, fi nds a safe moment and crosses the intersec on – requires a model based system simula on (Figure 2). The important building blocks of model based system simula on loop are: • Building virtual world with variety of driving scenarios including traffi c, weather, road, and environment etc. • Modelling mul ple sensors such as RADAR, LiDAR, Ultrasonic Sensors, Camera etc. • Modelling sensor data processing and fusion, enabling detec on of objects and recogni on of driving condi on based on simulated and processed sensor data. Developing control Figure-3 Virtual world model representing Ego Vehicle and its surroundings (image algorithm and human machine courtesy ANSYS, Inc., www.ansys.com ) interface (HMI) with ability to take important driving decisions and display the informa on. map data of city. obtained from the refl ected rays. High • Modelling vehicle actua on, and fi delity 3D electromagne cs simula ons vehicle movement. Sensor Modelling & Performance are used to predict performance of RADARs and V2X antennas e.g. an The model based system simula on loop Typical sensor suite mounted on automo ve RADAR antenna pa ern when consists for following steps and it repeats Ego Vehicle includes RADARs, LiDAR, it is installed on car facia (Figure 4). The un l the driving scenario is completed. Ultrasonic Sensors, and Cameras. This suite of sensors observes the virtual world high-fi delity 3D modelling is an order of surrounding the Ego Vehicle and generate magnitude, slow when compared with The Virtual World simulated sensor signals. For simula ng real me simula on. To alleviate this cameras, building photorealis c virtual problem surrogate modelling techniques The vehicle with autonomous system is environment is very important. It enables (a.k.a. Reduced Order Models or ROMS) referred as Ego vehicle. It moves in this acquisi on of good quality simulated are used to create a real me s ll accurate virtual world. The fi rst step in building signals. LiDAR is another important sensor sensor models that can be integrated in system model is to construct the virtual that constantly generates simulated the virtual world. world using libraries of roads, buildings, 3D map of vehicle surroundings and pedestrians, and other vehicles (Figure 3). provide high resolu on wide fi eld of Sensor Data Processing/ Also, such world can be a replica of real view. Simula on of LiDAR involves 3D Fusion and Control Software city and can be constructed by using 3D ray tracing, and processing point cloud Development www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.15 the virtual world. Model based system simula ons are highly valuable for developing training data set. Simula on allows engineers to construct sta s cally hazardous scenarios that are important for an autonomous vehicle computer or controller to be able to recognize. Such scenario may not come during hundreds of hours of training on real roads. Addi onally, using simula on, engineers can conduct system failure mode and eff ect analysis – e.g. eff ect of failure of one of the sensor or failure to pass the signal from controller to actuator etc.

Summary Figure-4 Automotive RADAR antenna pattern when it is installed on car facia (image courtesy Developing reliable and safe autonomous ANSYS, Inc., www.ansys.com) vehicles require signifi cantly more test cases, evalua on of more number of opera ng scenarios, and vast The simulated signals received from and passive safety systems in vehicles. number of func onal requirements as various sensors are passed to signal Since autonomous vehicle systems are compared to control system on today’s processing, sensor data fusion and control inherently safety cri cal, the ISO 26262 vehicles. Simula on as a tool needed to algorithms. These algorithms make standard is essen al in their development. accomplish this prohibi vely expensive, decision about braking, accelera ng or me-consuming tasks. The speed, cost changing direc on of Ego Vehicle. These Modelling Actuation and Vehicle economy, accuracy, and automa on of control algorithms based on machine Dynamics simula on makes it an indispensable learning methods can be u lized for A er processing sensors data, controller tool for repe on of a pre-defi ned training as well as conduc ng virtual passes simulated commands to actuators set of regression tests. Autonomous tes ng. such as brakes and steering, and virtual vehicle engineers can virtually evaluate Developing and tes ng signal processing powertrain which control the Ego thousands of test cases, scenarios and func ons, sensor fusion algorithms, Vehicle’s movement. Vehicle dynamics design parameters, in a frac on of cost object recogni on func ons, control is used to model the movement of Ego and me needed for physical tes ng. algorithms, and human machine interface Vehicle, other vehicles, pedestrian, and (HMI) so ware, with model-based any other moving object in the virtual References so ware development techniques makes world. The vehicle dynamics accounts 1Kalra N. and Paddock S., “Driving to Safety: How the so ware robust, less error-prone, for fric on between road and tyre – e.g. Many Miles of Driving Would It Take to Demonstrate and safe. Automo ve manufacturers slippery road due to snow or dry road Autonomous Vehicle Reliability?” Rand Corpora on, RR- and suppliers increasingly follow the ISO etc., precisely es mates the movement of 1478-RC (2016) h p://www.rand.org/pubs/research_ 26262 standard for engineering ac ve vehicle, and upda ng its new posi on in reports/RR1478.html “Charter of Trust” on Cybersecurity Siemens, Munich Security Conference businesses must both become ac ve some protec on func ons are to (MSC), Airbus, Allianz, Daimler Group, of those are: be preconfi gured as a part of IBM, SGS, Deutsche Telekom and NXP • Responsibility for cybersecurity to technologies, and cybersecurity have signed the Charter of Trust on be assumed at the highest levels of regula ons are to be incorporated February 16, 2018 for binding rules government and business. Introduc on into free trade agreements. and standards to build trust in of a dedicated ministry in governments • Greater eff orts to foster an cybersecurity and further advance and a chief informa on security offi cer understanding of cybersecurity digitaliza on. at companies. through training and con nuing The ini a ve was welcomed by • Companies to establish mandatory, educa on as well as interna onal Canadian foreign minister and G7 independent third-party cer fi ca on ini a ves. representa ve Chrys a Freeland as well for cri cal infrastructure and solu ons As the world gets more interconnected as witnessed by Elbieta Biekowska, the – above all, where dangerous situa ons with the rise of IoT, cybersecurity, EU Commissioner for Internal Market, can arise, such as with autonomous the protec on of technological and Industry, Entrepreneurship and Small vehicles or the robots of tomorrow, societal assets has become a global and Medium-sized Enterprises. which will interact directly with challenge, which calls for strengthening The Charter delineates ac on areas in humans during produc on processes. collabora on among the industry, cybersecurity where governments and • In the future, security and data governments, and society.

PG.16 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com

THOUGHT LEADERS Perspectives on the Future of Smart Automotive in India

growth of smart vehicles to fully realize the vehicles. The me is ripe as consumers effi ciencies from these ini a ves. have already been exposed to these through other industries. Some of the key What is the innovation? drivers for the focus to be shi ing towards the smart automo ve could be: Automo ve players are looking to • The growing use of sensors and capitalize on IoT, Big Data, and AI systems so ware embedded in products to diff eren ate themselves from their compe on. By integra ng digital human- • The ability to reliably and machine interfaces (HMIs), IoT sensors, inexpensively connect and network so ware applica ons for connec vity with customers, and suppliers via the and autonomous features (such as object Internet of Things recogni on and self-driving capabili es), • The availability of cloud-based data they are crea ng vehicles of the future. storage The increased focus on R&D by global • Sophis cated analy cal systems automo ve and technology leaders in capable of processing large volumes smart cars is expected to disrupt the of data and deliver insights in near current business model. India, having real- me and fi nally, Sudipta Ghosh a large automo ve market, cannot go • Rising customer expecta ons towards Partner, PwC India untouched. Innova on leaders are fi nding smart, connected and autonomous Data and Analy cs Leader merit in ini a ves such as self-driving vehicles Sudipta Ghosh has more than 19 years of vehicle projects and so ware off erings such as smart mobility and connec vity The smart automo ve ecosystem is consul ng experience in the fi eld of Data also expected to be characterized by & Analy cs and Enterprise Performance pla orms for cars to cater to the growing technology-led growth in related areas Management (EPM). He is currently the need from the automo ve sector. Some Data and Analy cs leader responsible for examples include: and industries such as: defi ning the product/solu on strategy, • A large automo ve player working • Internal Usage for manufacturers: go to market ini a ves and incuba ng with technology & ecommerce giant Customer rela onship analy cs, R&D diff eren ated solu ons from an industry spend op miza on, and Warranty perspec ve at PwC India. on an IoT pla orm to grant vehicle owners access to their connected- servicing home devices from their cars through • Ancillary Usage: Usage based Automo ve sector is evolving very rapidly. an applica on insurance packages, Mobility From being purely mechanical devices, • Applica ons to use voice commands services, Fleet op miza on, Electric they are now coming with so ware and car servicing, Mobile commerce connec vity components. Vehicles now to remotely lock their vehicle, check fuel levels as well as the other way payments have mul ple systems controlling diff erent • Enterprise to Enterprise: Remote func ons in them. Growth in func onality round, i.e., access home systems connected to the IoT network from diagnos cs & predic ve maintenance, is predominantly driven by safety, Device management connec vity and consumer needs. the vehicle • Enterprise to customer: Safety and This comes at a me when India is set What is driving the shift? security, Auto telema cs, In-car to experience a digital revolu on that infotainment, customiza on, ADAS Smart manufacturing and IoT in will see business, government and the (Advanced Driver Assistance Systems) society fundamentally transforming the automo ve produc on has been in play way each operate. The importance of for some me now. These enable OEMs to emerging technologies (such as AI, IoT, more eff ec vely track cri cal machine data Smart opportunities in the vehicle Big Data, Cloud apps) has been widely through the use of sensors and respond to Mobile naviga on apps connected to the acknowledged. The current budget devia ons quickly. This in turn has a direct car’s smart system are already in use. presented by government depicts plans to impact on the quality and safety standards Other than helping in naviga on, they invest in the above areas. Further, allied of the fi nal car components. It also results also help by highligh ng places of interest industry usage of emerging technologies in major cost savings through reduced (such as restaurants and fuel sta ons) - for example, in infrastructure, where scrap, rejec on rates and a er-market on the route. They are likely to become eff orts are underway to implement ‘pay- issues. The ‘smart’ advantages are now further entrenched through a series of as-you-go’ systems at toll plazas - will moving outside manufacturing plants and mainstream off erings from automo ve provide further impetus to accelerate the being embedded onto the products i.e. OEMs. The smart automo ve can also

PG.18 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com provide users the experience of intelligent reliable connec vity and processing large of vehicles. For example, autonomous func ons as self-parking, auto-braking, volumes of data is expected to provide vehicles targeted towards safe transport cruise control alongside automa c a boost to telecom operators. Some of in urban se ngs may act as a case for accident-preven on features, machine- them have already got into partnerships electric cars which are suitable for similar operated power-steering, and electric with hardware, pla orm and so ware scenarios. Conversely, the availability parking brakes, as well as electronic developers and OEMs for the same. of automa c charging points would prove conducive to seamlessly opera ng thro les and engine control. Also, some of the leading mobile app- autonomous vehicles. As the ecosystem scales up, Indian based transporta on service providers OEMs, pla orm and so ware providers have begun to collaborate with large, Finally, changing consumer preferences and other players might further need to technologically advanced OEMs in co- among the younger genera ons might forge or strengthen partnerships with developing driverless cars with the goal of weigh in in favor of ‘shared mobility’ versus global chipset manufacturers and best- deploying a fl eet of autonomous vehicles. ‘ownership’. Combined with the focus on safety and effi ciency in smart vehicles, in-class technology providers to achieve Fully autonomous vehicles might this could imply much more intensive comparable levels of performance in their require a longer span of me to reach use of vehicles at lower maintenance self-driving vehicles. the mainstream consumer. This span and repair costs. The smart automo ve With further technological maturity, the would be marked by an exci ng period revolu on is already underway as has connected car is expected to shape market of transforma on for automo ve been seen in the Auto Expo 2018 where trends and automo ve manufacturers’ manufacturers who must navigate the OEMs have unveiled examples of electric rela onships. Smart features such as challenges of designing, manufacturing, and autonomous vehicles, smart features engine maintenance signals, safety and upgrading tradi onal models while such as touch-screens, face and gesture sensors and smartphone integra on are making strides in new-age technologies recogni on, auto-balancing two-wheelers, already transi oning towards mainstays in and improved customer experience. augmented reality displays, and intelligent upmarket vehicles. Industry leadership is learning of routes and more. expected, in certain cases to favor newer Our viewpoint players capitalizing on the above, as We believe that with the wide-scale conven onal OEMs may be compelled to developments in V2X communica on In conclusion accelerate their drive for innova on. and networking of the smart vehicle, the Automakers making investments in u lity of vehicles may be accentuated emerging market countries such as India Moving towards a fully beyond mere transporta on into a hub may require a conserva ve approach autonomous vehicle where people can communicate, work, – closely managing costs and factory Autonomous systems in vehicles may surf the internet and access mul -media capacity to navigate the next few years. range from par al to complete autonomy. services during the journey. The value The cost of enabling technology such as In the former case, for example, the chain for automo ve players could extend sensors (proximity, GPS, vision, audio, vehicle may take over longitudinal and beyond the showrooms and into so ware etc.), so ware, storage and connec vity lateral control in controlled situa ons such based interac ons with individual vehicle is expected to drop over the coming years as highways, with the driver monitoring owners for a sustained brand experience along with the mushrooming of start-ups traffi c and retaining control with a lead and customer rela onships. and specialized connected, smart and me. In the la er case, the vehicle may be Further, we picture a future for the autonomous vehicle technology providers. entrusted to control all tasks. automo ve industry where autonomous, As the technology is further democra zed In-roads into par al and full automa on of shared and connected features will increase and commercialized, strategic partnerships vehicles in India will be dependent on the the rate of innova on characterized by and joint business rela onships with local development of enabling infrastructure shortened model introduc on cycles players might benefi t automakers looking to support the same. The deployment of (from the current 5-8 years to an annual to gain compe ve advantage in the low latency V2X (Vehicle to Everything) basis). The above trend can be expected evolving market. communica on systems – e.g., V2I to be driven by incremental integra on While the basic tenets of the smart (Vehicle to Infrastructure), V2P (Vehicle of the latest hardware and so ware automo ve remains the same, the traffi c to Pedestrian), V2V (Vehicle to Vehicle) features, which could be pushed to vehicle rules and condi ons of each country force and V2G (Vehicle to Grid), is expected owners in the form of regular upgrades. unique customiza ons to the solu on. For to facilitate the above and bring about It would also likely imply a re-distribu on India, it is important that the underlying demonstrable value through the added in R&D investment for automakers – AI and Machine Learning systems for safety and energy savings from them. with greater focus on smart features and smart vehicles be trained in a way that so ware applica ons and quicker returns. In the ini al phases, autonomous vehicles captures the added complexity of roads Manufacturing opera ons may be faced could fi nd use in controlled ecosystems in India, traffi c signs and markings which with the need for fl exible produc on such as industrial parks and ins tu onal may be worn out, pedestrian movement techniques to accommodate the pace of premises and campuses, (for example as on roads, unstructured traffi c condi ons, upgrades. shu les, which could act as viable tes ng high propor on of two-wheelers, abrupt grounds to ascertain the longer term Autonomous vehicle adop on will be lane changes, etc. as opposed deploying safety, maintenance and legal implica ons further supported by (and reciprocally systems trained on more structured of opera ng them). The focus on ensuring supported the simultaneous electrifi ca on environments of developed markets.

www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.19 THOUGHT LEADERS Connected Cars: Innovation Driven by Data

parking & toll payment, vehicle sharing, than in the purely isolated case. personalized func ons on demand, and secure over-the-air-updates. Cooperative Driving Functions in The communica on network has also to Urban Environments share informa on that is out of sight of The examples men oned earlier the vehicle, like warnings for traffi c jams indicate the poten al for innova ons ahead, hazardous loca ons, road works, that could come with data management lane changes or blocked intersec ons. for connected cars, but the poten al Very detailed maps according to the car’s for coopera ve driving func ons in posi on could be sent on top, when road urban environments are even higher, lines and guard rails are missing in addi on especially when thinking of a mul -cloud- to the informa on that is surrounding the environment for vehicles, road side units, vehicle or the informa on that is out of mobile networks, and a centralized traffi c sight. managing system. Next to the communica on challenges there are legal and strategic challenges: Vehicular Cloud • Legal permissions and responsibili es The vehicular cloud would be based on Simon Papel • Safety aspect temporary vehicular ad hoc networks and Product Manager Data-Management • Heterogeneous technical systems of CMORE Automo ve GmbH clouds to enable the swarm intelligence. diff erent ages Opera on of the vehicular cloud be Simon Papel holds a Master of Science • Coopera on of road side unit achieved with IEEE 802.11p, 4G D2D and in Business Informa cs and has worked manufacturers 5G D2D. The major advantage would be for over 12 years for the Deutsche Telekom AG. During that me, he worked • Calcula on of signal predic on that no infrastructure is needed, which on the enterprise cri cal database for (latency, quality) makes it especially suitable for emergency mobile networks storing all informa on cases because of the robustness. From a What could be the use cases driven by the of customers, contracts, products and fi nancial point of view such a solu on intelligent network. innova ons of connected cars? Obviously must be low cost and OEM independent the highly automated and connected to gain full poten al. driving func ons in the context of urban traffi c fl ows and smart traffi c control. Basic Challenges, High-Level-View That also includes co-opera ve, highly Road Side Unit Cloud The fi rst steps towards connected cars automated and autonomous driving The road side unit cloud could be based have been already taken since 2013 with in public transport and commercial in fi rst step on vehicular ad hoc networks the Connected Car Traffi c & Diagnos cs vehicles in mixed traffi c situa ons. For and later migrates to a 5G network. But are Cloud. It uses anonymized traffi c these autonomous vehicles to become a the road operators and public authori es movement data and messages and hooks reality, they need data. Big data in fact. ready to operate such a cloud or will there up to traffi c par cipants, road side units, The vehicles are furnished with sensors be new market players? The advantages logis c enterprises, OEMS, and others. It measuring everything from posi on, of the road side unit cloud would be, that is also used for telema c messages for the speed, direc on and braking; to traffi c it taps into the local intelligence for safety maintenance of cars and exchanges data signals, pedestrian proximity and hazards. cri cal hotspots and has low latency due with repair shops. The groundwork has already been laid for to high-grade proximity. Yet who will autonomous vehicles with ADAS func ons invest that tremendously when there Aside to the connec on to clouds, like collision warning, lane keeping, brake is a lack of exis ng business models or connected cars use a heterogeneous assist, and speed control. In general, all operator schemes? communica on network between informa on in these cases is processed themselves and the surrounding locally and kept privately within the Mobile Edge Cloud infrastructure with either WLAN-11p vehicle. In contrast, with connected cars, (IEEE 1609 802.11p), cellular network all informa on can be shared between The mobile edge compu ng is the pivotal communica on (LTE-V, LTE/5G) or cars and between cars and any kind of building block for 4G+/5G networks which digital broadcast (DAB+/DMB). The a centralized intelligence instance. By is operated by the telecommunica on communica on network itself must exploi ng this shared data, the connected industry; which are the fi rms with 4G overcome the challenges of connec on vehicles will be able to make even be er (notably LTE-V) and 5G (notably 5G V2X) management, encryp on & authen ca on decisions and carry out even more and WiFi and backbone access technology. to off er online services for traffi c, appropriate responses to traffi c situa ons The mobile edge cloud can be built on top

PG.20 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com of exis ng cellular infrastructures that • pu ng modern sensors in re- solu ons for use in the vehicle or in is then usable for a variety of (also non- processing or re-simula on – including the laboratory and addi onally for traffi c) applica ons and their data. The virtual – environments, prototyping algorithms and func ons. mobile operator will probably use specifi c • and create KPI reports out of that. It is a mul func onal measurement and solu ons and might even prevent cloud diagnos c pla orm for intelligent data All these en es are in focus of CMORE roaming. Having in mind that Europe analysis. It enables remote access to Automo ve GmbH (CMORE/EC.MOBILITY) alone has about 200 carriers for mobile ECU diagnos cs including data logging and its business unit C.IDS (Integrated networks shrinking in numbers every (CAN, video, GPS, online tagging, etc.), Data Solu ons). CMORE/EC.MOBILITY day, what will be the chances for new automated tests and reports, system is specialized on valida ng ADAS/AD market players? And what about par ally monitoring, and documenta on of sensors and meets the current and future subop mal loca on of exis ng cellular test drives. It integrates over-the-air data management requirements with the nodes for roadside applica ons? These func onality (WiFi, 3G/GSM) and provides C.IDS development of C.DATA. are all problems that might occur with the real- me data in mul ple views. mobile edge cloud. Data Management During Conclusion Centralized Traffic Management Development Think of all the possibili es and rewards Cloud C.DATA is an automated big data system when harnessing the data of connected which highly effi ciently and eff ec vely cars and the disrup ve poten al for All data converges in worldwide manages ADAS/AD mass data along innova ons regarding future mobility. or na onwide centralized traffi c the valida on and development Travelling overall will become a much management clouds created by tech process for complex sensors and sensor diff erent experience: safer and more companies, car manufacturers, and confi gura ons. The primary goal of fl exible with the seamless integra on of service providers having superior storage, processing and communica on capaci es with the greatest possible economies of scale. Even with latest technologies there are s ll problems like high latency, security and privacy protec on to solve. The centralized traffi c management cloud would be a highly a rac ve target for IT a acks because of the valuable data.

First Steps Toward Connected Cars and Automated Driving Connected cars in the context of automated driving need a valida on process during development. The development of level 3 to 5 automa on systems will become a major technical challenge, especially considering the expected data rates of a level 5 automa on system: 17,500 gigabytes per hour. Even a level 3 automa on system produces C.DATA is to keep manual interven on to between 1,400 and 2,700 gigabytes a minimum while off ering the fl exibility per hour. And this is just the raw data and freedom required in a constantly that o en needs selec on, conversion, changing data environment. One of the annota on for the ground truth, and special features of C.DATA is that it is transmission to so ware, for example for tailored to the ADAS/AD requirements re-simula on and KPI visualiza on. That and its con nuous valida on for level 3 is why data management is so important. or higher ADAS/AD func ons. Everything For the data management we need to be from scene management, vehicle sure about the en es considered from construc on, data logis cs, annota on an ADAS data point-of-view: data, re-simula on to KPI management personalized data. Safer for all par cipants and KPI repor ng is combined in one of every-day-traffi c – even when not in • scenes in every-day traffi c, pla orm. sight – including new mobility concepts • data acquisi on, In addi on to C.DATA, CMORE/ for commercial and public transport. • metadata describing the massive data EC.MOBILITY developed the PODBOX The data management to enable all that chunks and the data logis cs, (Persistent Onboard Diagnos c BOX). should not be seen as hinderance or • annota ng and labeling data for the PODBOX as a mul func onal pla orm burden, but as a chance to upli modern ground truth, off ers custom measurement technology – and much more mobile – society.

www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.21 EXPERT SPEAK Vehicles are Becoming Smart Devices & Connectivity/Autonomy the Norm

challenges which the ACES (autonomous, Capabili es-wise, we are already connected, electric and sharing) trend in able to tap into the electric mobility automo ve is presen ng. We currently wave. Currently we are in discussions have several strategic ini a ves underway, with several established and emerging which will determine the future course of OEMs about their electrifi ca on needs. the company in this direc on. As men oned earlier our electric vehicle pla orm, coupled with our lightweigh ng India seems to be moving and prior experience with developing closer to a world of electric and autonomous vehicles. How TTL electric vehicles is a game-changer. will orient its E&D services to Throw-in our frugal engineering, and address changing strategies strong VAVE, tear-down benchmarking in manufacturing, which may capabili es; we have it in us to be able emerge, for these future to roll-out a complete electric vehicle by vehicles? ourselves in a country like India. We are prac cally a one-stop shop for our electric During the opening of our new vehicle customers. Warren Harris European Innova on and Development CEO & Managing Director Center in June last year, Dr. Ralf Speth, CEO How do you see Indian Tata Technologies of Jaguar & Land Rover highlighted that automotive telematics market the rate of change that the automo ve in terms of investments, growth Warren Harris has been with Tata industry will see in the next 5 years is opportunities, R & D capabilities, Technologies and its predecessor going to be faster than what it has seen resources, and challenges, companies for more than 25 years. His in the last 50. You are correct in poin ng among others? roles have evolved from engineer to out that this is true even in India’s case. a number of technical management The poten al is huge! With Tata posi ons worldwide. He is an authority The Indian government’s push to electrify Technologies having a strong presence in on global manufacturing. He has also all vehicles by 2030 is going to be a major the U.S. and Western Europe, we are in contributed his insights to the book, factor in this direc on. Any OEM that does a vantage posi on to be able to see the “Globality – Compe ng With Everyone not embrace it is staring at ex nc on. pace at which diff erent technologies are From Everywhere For Everything.” Tata Technologies too is gearing up as an converging into automo ve. The infl uence engineering service provider to address that telema cs is having on connec vity the needs of our customers in these spaces. and related features is immense. So What is at the core of On the electric front, we are experts in the far, I would say India has been a ‘fast- Tata Technologies? How has it fi eld of lightweigh ng, or ‘rightweigh ng’ follower’ of the trends in automo ve evolved over the years? as we call it. We have internally developed industry and s ll has a lot to catch-up on. Engineering, Research and a methodology based on which we have If anything, this only means a tremendous Development (ER&D), as we call it successfully designed and engineered opportunity either by adap ng internally has been our biggest line of electric vehicles for OEMs. We also have technologies already been embraced in business, and is at the core of what an electric vehicle pla orm about which the west, like telema cs for car insurance, we do. Over the years, we’ve evolved we are in discussions with a few emerging or by inves ng to solve local issues, like from being a strategic staffi ng business OEMs. Our teams have also done some parents tracking the school bus in which into an organiza on that can take on great work on electrifi ca on, and ba ery- their kids are traveling. complex work packages (system / sub- swapping techniques. On the autonomous TTL at present has only one systems), and full-vehicle programs, and and connec vity side, we have several internal projects going on, the benefi ts centre in India for advanced deliver them successfully within technical engineering design, dedicated to parameters and defi ned budgets. Quite of which, we are taking to our customers. We are also currently formula ng our the automotive and aerospace a few established and emerging OEMs sectors. As both of these are are leveraging this capability of ours. digital strategy roadmap, where our ER&D line of business forms a cri cal piece. growing sectors in India, do you Our automo ve manufacturing DNA, and plan to open more centres in the excellent pool of talented engineers How the company is near future? spread across the globe is what lends us developing its capabilities to While our main engineering and that strategic advantage. While already tap the electric mobility wave in design centers are in Pune, we serve our excelling in their respec ve domains, India? clients across India and have satellite our engineers are now embracing new

PG.22 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com sites in the east, north and south of the companies that off er autonomous airbags took over 40 years to become country as well. Through these centers, pla orms. Tata Technologies is uniquely the norm since it was fi rst invented, new we are not just sa sfying the needs of posi oned to excel in this space, because technology will very quickly become the automo ve and aerospace customers, of its capabili es spread across both the norm. but also industrial and heavy machinery spaces; so ware, through its enterprise The penetra on of interna onal brands customers. We recently collaborated with IT, electronics, and PLM prac ces and in the Indian market is changing the Tata Hitachi to launch its new backhoe mechanical through its ER&D capabili es. dynamics completely. These next loader Shinrai at Excon 2017. For this, We believe we are a company of system genera on technologies are going to be besides the engineering capabili es integrators, and as applica ons evolve, a way for these brands to diff eren ate of our India-based engineers, we we will have a greater role to play in themselves in an otherwise crowded also brought in specialist heavy machinery integra ng them into a vehicle by working marketplace. Addi onally, with changing engineering capabili es from our delivery on its underlying pla orm. demographics, an average well-educated centers in Romania. This was a unique Indian is spending a considerable amount How Indian workforce can case of reverse outsourcing, where we of me in developed and fast developing brought in specialist skills independent of serve as a major asset to support the company’s global operations, markets, where technologies like these the loca on. That’s what makes us unique. are already in use to various levels of On the ques on on expansion – we are especially in area of research and development? maturity. This will bring about a shi in looking to make a stronger presence in their mentality. This coupled with more other ci es in India. A couple of proposals The Indian workforce is already a disposable income will make connec vity are under evalua on, and it would be major asset to the organiza on. Firstly, it’s and autonomy soon from being a luxury announced at an appropriate me. a near-shore center to support opera ons to being a basic need of these consumers. in China, and other countries far east, Smart phone penetra on, and the whole Crash-test centre in Pune, where we are enjoying tremendous IoT wave is another aspect which would established by TTL & Tata success. Besides, it is also proving to be Motors is known to be the only have a huge bearing on this whole of signifi cant benefi t to some of our other journey. Over the next few years, mobile installation of its kind in the customers in Europe and North America. country. Are there any other apps, and features like remote-start, In December last year, we announced ability to monitor re pressure, check major initiatives in the offing our strategic partnership agreement at TTL towards technology fuel and engine oil levels etc. are going with Zodiac Seats UK, a part of Zodiac to become a basic expecta on just as it adaptation and innovation in Aerospace, under which we have opened increasing road safety with is becoming in the developed markets crash analysis, especially in a new Off shore Dedicated Engineering today. GPS tracking today has already context of adequate technology Centre (ODEC) in Pune. Over the years, we become a common feature, especially in infrastructure need for handling have seen a shi in the industry, whereby ride-hailing. Similarly, connec vity and issues related to cyber security? now our customers are depending on our lower levels of automa on too would India centers for increasingly strategic soon catchup. As the industry moves towards ACES and value-added work rather than the the need for cyber security is only going to repe ve ENVA (essen al non-value But all of this cannot happen without increase. Recognizing this, as I men oned added). Going forward, I believe this proper government interven on. This will earlier, we are crea ng our own digital trend is only going to increase. be required in the form of infrastructure strategy roadmap which will address this development for electrifi ca on, and area. As an industry stalwart, what proper regula ons around autonomous is your perspective about the vehicles. Currently in the U.S., certain state With Government’s push future of connected vehicles and governments are already working around for startups and innovations, autonomous vehicles in India? regula ng this space, because with the are there any initiatives being There’s absolutely no doubt in my onset of autonomy, drivers will no longer taken by TTL in the autonomous have to be assessed and licensed, rather vehicles segment? mind that as these technologies start to get proven, they will become the norm in it will be the car itself. And all of it won’t Most defi nitely! Our teams are India. As I said earlier, this space is evolving happen at the same me, it’ll have to be currently engaged with quite a few very rapidly, and unlike the mes when in a phased manner. So, ll the me all vehicles are fully autonomous, with zero human dependence there’s going to be a strong need for regula on and governance Over the next few years, mobile apps, to minimize fatali es. There are also discussions around the need to come out and features like remote-start, ability with industry standards around which these developments are to be done. This to monitor tire pressure, check fuel is mainly because every company today and engine oil levels etc. are going to has its own defi ni on of autonomous, and calls its features by diff erent names, become a basic expectation which can be a li le confusing for the consumers. Such interven ons would be necessary to enable this change. www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.23 Industry Update

Bosch Telematics eCall Plug (TEP) NEC adaptive network control NEC has developed an adap ve network control technology Bosch launched Telema cs for controlling networks that priori zes certain urgent eCall Plug (TEP), a retrofi t plug- communica on terminals based on their communica ons fl ow, in sensor device in the early then immediately assigns bandwidth and communica on me 2018. The device delivers event (radio resources) to these terminals, rather than their less data such as driving behavior urgent counterparts. This helps to ensure that data transmission and crash detec on for is complete within the 100-millisecond target me. telema cs, fl eet management and insurance applica ons. The smart sensor device easily plugs into a standard 12V car cigare e lighter socket. The TEP u lizes its built-in sensors and microcontroller to track driving behavior parameters such as accelera on, braking and cornering forces, then transmits this data to the driver’s smartphone via Bluetooth. There is no connec on to the car’s IT infrastructure. Data from the TEP enables innova ve usage-based business models, e.g. for insurance purposes, however, it is also setup to be adopted by fl eet operators and automobile clubs. The device’s eCall func on registers car crash severity and can help to save lives by enabling faster emergency response mes.

Adap ve network control has been tested in a simulated traffi c The Norwegian Road Status Information, a environment where 100 automobiles and 100 pedestrians technology for winter road prognosis were using a variety of communica on terminals, such as smartphones, while connected to an LTE radio base sta on. This tes ng verifi ed that an automobile’s communica on delay could be shortened to 100 milliseconds or less and the rate of successful communica on could reach 95%. This represents an improvement of more than fi ve mes over the conven onal Propor onal Fairness method of communica ons.

Jarvis, cloud-based static binary code scanning solution BlackBerry Jarvis was unveiled in January 2018. It is cloud-based sta c binary code scanning solu on that iden fi es vulnerabili es in so ware used in automobiles. It scans and delivers ac onable insights, what would otherwise involve manually scanning. The Norwegian road authority Norska Statens Vegvesen has Jarvis is off ered on a pay-as-you-go usage basis and is customized demonstrated Road Status Informa on (RSI) so ware. The for the unique needs of each OEM and their en re so ware so ware has been developed by Klimator and NIRA Dynamics. supply chain. Once ini ated, automakers will have online access RSI so ware through its advanced algorithms combines the to Jarvis and can scan any number of binary fi les at every data from connected vehicles with informa on from roadside stage of so ware development. This includes the capability weather sta ons and weather forecasts. That makes connected to evaluate new vehicles rolling weather sta ons which transmit various signals so ware under including current road fric on which is the key to determine local considera on as road grip. The vehicles are connected via NIRA-developed OBD- well as the ability dongles that register current posi on, ambient temperature, to assess exis ng wiper ac vity and road fric on. The data is con nuously made so ware already available on the RSI-server. in produc on. RSI manages to determine the road grip condi ons in real me In addi on to cost with high precision and creates accurate 12h forecasts. This and me savings, enables an increased safety on wintery roads, a signifi cant BlackBerry Jarvis environmental benefi t and cost savings through the more helps ensure that effi cient use of winter service resources (road salt consump on, produc on so ware adheres to industry standards such as driven miles in salt trucks, etc.). MISRA and CERT and enables OEMs to defi ne custom rules to meet organiza on-specifi c objec ves.

PG.24 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com Industry Update Open platform for camera-based driver assistance systems HELLA Aglaia is rolling out an open QUICK UPDATE pla orm for camera-based driver Bosch, Vodafone and Huawei assistance systems. The so ware system demonstrate driver assistance systems developed is thus not bound to a specifi c also benefi t from C-V2X hardware and can be fl exibly used for Mercedes-Benz introduces an experimental Connected Vehicle API the pla orms of various manufacturers. Con nental, Ericsson, Nissan, NTT Customers can combine diff erent DOCOMO, OKI and Qualcomm so ware components freely with Technologies plan to carry out their other components by HELLA or third- fi rst Cellular Vehicle-to-Everything party providers while integra ng newly (C-V2X) trials in Japan available func ons via so ware updates. Acquisi ons and Announcements This provides customers with the BMW Group acquires Parkmobile possibility of upda ng hardware components and series-proven so ware func ons, Autonomous Intelligent Driving GmbH such as ligh ng control, lane/traffi c sign/pedestrian and object recogni on, according licenses the Mapillary Vistas Dataset to individual preferences and needs. The market launch of the new so ware system is to develop technology for self-driving cars across the whole Volkswagen an cipated for 2019. Group Vodafone (Germany) and HERE partner on services for autonomous vehicles Ford files for a patent on an autonomous police car and smart ci es Autonomous cars can serve in carrying out ac vi es of maintaining law and order. In Autonomous Vehicle this line, Ford has fi led for a patent which describes an autonomous police vehicle that Aquan a announces collabotarion would be able to detect infrac ons performed by another vehicle, either on its own or with NVIDIA, introduces a suite of in conjunc on with surveillance cameras and/or road-side sensors. products targeted at autonomous vehicle pla orms The police car will also have AI and Machine Learning capacity that would also help the Con nental and NVIDIA partner to car to decide if there is any breach of law by the car. The patent would further empower create AI self-driving vehicle systems police to manually take over control of the vehicle or use its wireless connec on to Sumitomo and NEC collabora ng in IoT various databases to gain more informa on on those breaking the law. and AI based mobility business However, there is s ll a long way to go to make such an autonomous police car a Safety & Security reality, but the step will bring autonomous vehicle technology to various areas like law Autoliv spin-off Veoneer to focus on enforcement. ADAS and autonomous driving Panasonic and Trend Micro to jointly develop automo ve cyber security Ordnance Survey to update geospatial infrastructure for solu on Connected and Autonomous Vehicles Shared Mobility Daimler and Bosch plan to test self- Ordnance Survey (OS) has been driving taxis in next few months mandated by Business Secretary Greg Clark to help shape a na onal geospa al infrastructure capable of suppor ng a na onwide network of Connected and Eye-Net, an accident Autonomous Vehicles (CAVs). Ordnance prevention system Survey is Great Britain’s mapping Foresight Autonomous Holdings has service for government, business and completed a demo version of its new Eye- ci zens. The four-year E-CAVE project Net accident preven on system. lies at the heart of the Government’s Industrial Strategy. Eye-Net is a V2X (vehicle to everything) cellular-based accident preven on OS already has experience of being at the heart The organiza on says that E-CAVE will of na onal infrastructure projects, such as this solu on, designed to provide real- me enable real- me vehicle-to-vehicle planning trial in Bournemouth which looked at the pre-collision alerts to pedestrians and eff ects of the built environment on proposed 5G (V2V) and vehicle-to-infrastructure vehicles, by using smartphones and frequencies. (V2I) data sharing, using open relying on exis ng cellular networks. standards and architecture that will “transcend” proprietary interests. It The Eye-Net system is designed to provide claims that it has both the digital and geospa al exper se required to understand the a complementary layer of protec on challenges and capabili es of CAVs, and that precise loca on is not only a fundamental beyond tradi onal advanced driver part of its work but also vital for the effi cient collabora on between vehicles, which assistance systems and extend protec on includes the exchange of map messages. With an aim to ensure public safety, this to road users who are not in direct line of project is expected to accelerate the pace of development and deployment of driverless sight and not covered by other aler ng technology in the UK. systems. www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.25 Industry Update

Redundant braking for automated driving Last month at an event, Bosch showcased redundant braking for automated driving. Redundant func ons ensure that all safety-cri cal func ons con nue in case of any failure in the system. For SAE levels 4 and 5, the redundancy becomes even more cri cal as the me span increases without the driver in the loop. Bosch’s solu on for a fail-degraded brake system (steering system and E/E architecture) is the combina on of its electromechanical brake booster iBooster and ESC (Electronic Stability Control), also known as ESP (electronic stability program), systems. Both are independently capable of performing braking func ons for the vehicle in the rare case of a single failure. A conven onal brake system today comprises two actuators: a vacuum brake booster and ESC unit. The technological breakthrough of redundant braking was achieved by modifying one system element; the vacuum brake booster is replaced by an intelligent electro-mechanical booster, the iBooster. The each actuator is now capable to decelerate the vehicle independent of the driver applying the brake pedal. Even if a failure occurs in the brake system, either actuator (iBooster or ESC) is able to avoid wheel lock-up by modula ng the brake pressure, which maintains the ability to steer during decelera on.

that enable vehicle-to-vehicle, vehicle-to-person or vehicle-to- Australia allows the 5.9 GHz band to be infrastructure communica ons. Following industry consulta on, used for ITS the Australian Communica ons and Media Authority introduced the Radiocommunica ons (Intelligent Transport Systems) Class Licence 2017, which will support the use of complying wireless technologies and devices. The regula ons allow the 5.9 GHz band to be used for ITS in Australia and are consistent with the ITS arrangements in major vehicle markets such as the United States and the European Union. Harmonising Australia’s ITS arrangements with wider global developments means Australian motorists are more likely to enjoy the benefi ts of connected vehicles as they become available. According to FCC, Dedicated Short Range Communica ons (DSRC) Service in the Intelligent Transporta on Systems (ITS) Radio Service in the 5.850-5.925 GHz band (5.9 GHz band) involves vehicle-to-vehicle and vehicle-to- infrastructure communica ons, helping to protect the safety Australian Communica ons and Media Authority has of the traveling public. It can save lives by warning drivers of introduced new regula ons that will allow Australian road an impending dangerous condi on or event in me to take traffi c authori es to roll out intelligent transport systems (ITS) correc ve or evasive ac ons.

‘HumanDrive’ safety guidance in the autonomous car project

HORIBA MIRA announced its plans to develop a vehicle that will emulate a to develop safety guidance in the natural human driving style, providing an autonomous car project, ‘HumanDrive’. enhanced experience for the occupants. The HumanDrive project, led by Nissan’s To achieve this, the project will draw European Technical Centre as part upon the exper se of a variety of of Renault-Nissan Alliance research organisa ons, including Aimsun Ltd, ac vi es, will culminate in the most Atkins, Cranfi eld University, Highways complex journey yet a empted across England, Hitachi, HORIBA MIRA, SBD the UK without human driver input. Automo ve, Transport Systems Catapult and the University of Leeds. The focus of the HumanDrive project is

PG.26 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com

Industry Update DENSO develops standard vision sensor NXP’s new CAN Transceiver family that secures CAN communications without cryptography NXP Semiconductors announced a CAN transceiver family that off ers a seamless, effi cient solu on for secure CAN communica ons without requiring so ware or cryptography. With secure CAN transceivers, however, automakers can secure messages from the ECUs already used in the design, off ering a simpler, faster rollout of security than it would take to transi on the exis ng ECUs to secure ones. A pure transceiver based solu on for the CAN network developed by NXP off ers security without bandwidth overhead, delays and processor load. This approach complements crypto-based security solu ons with an addi onal layer in a Defense-in-Depth (DiD) concept, or as a standalone op on. Another feature is the DENSO has developed a standard vision sensor that detects fl ooding preven on and rate limit control. Security solu ons pedestrians at night, cyclists, road signs, driving lanes and other present in the market today protect CAN communica on with road users. The sensor was featured in the 2018 Toyota Alphard message authen ca on code (MAC) based on cryptography and and Vellfi re, which were released in January this year. complex key management, but they require increased busload, The vision sensor works in conjunc on with a millimeter-wave message latency, or compu ng power consump on. In addi on radar sensor and allows automobiles to automa cally ac vate to this, upgrading devices to support secure CAN messages is emergency braking when obstacles are iden fi ed, helping also not available, when the processors do not have suffi cient reduce accidents and improve overall vehicle safety. compu ng power. However, with secure CAN transceivers, users can secure messages from devices already installed in systems by means of exchanging the transceiver, which makes it a udelv launches autonomous last-mile reliable solu on for increasingly complex cars. delivery vehicle udelv, a California based company has launched its autonomous, High resolution automotive radar ICON last-mile delivery vehicle. The vehicle was also tested on the public roads where it traveled through a 2.5-mile loop with traffi c lights, lane changes, unsignalized le turns and two delivery stops to deliver items to two nearby customers. In compliance with exis ng California regula ons, the vehicle was supervised by a safety driver and in test mode.

Source: Magna

Magna unveiled (Jan 2018) its high-resolu on automo ve radar ICON which incorporates advanced technology used by the U.S. military to provide precise detec on, extensive range and high resiliency. The technology helps close the gap between level 3 and level 5 to reach full reliable autonomous driving. With a range of more than 300 meters, Magna’s ICON RADAR con nuously scans the environment in four dimensions (distance, height, depth and speed), which is 50 mes faster than the me it takes a human to blink an eye. With its compact The vehicle is built on a fully electric powertrain and features size, ICON RADAR also allows greater fl exibility in exterior design 18 secure cargo compartments with automa c doors using a and can be easily integrated into an automaker’s autonomous cloud-based proprietary technology that is shared between the system or as part of Magna’s MAX4 autonomous vehicle vehicle, customers, and merchants. In its current confi gura on, pla orm. It will thus enable faster decision making process in the vehicle can drive for up to 60 miles per cycle and can load up complex surroundings thereby ensuring safe mobility. to 700 pounds of cargo.

PG.28 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com Regional Update Ola working to develop safety systems capable of Motherson Group launches preventing accidents telematics product ‘Rollr’ The system being developed by the Samvardhana Motherson Group has company would be able to prevent launched telema cs product ‘Rollr’, accidents by aler ng the driver to take which provides informa on on real- me the correc ve ac on in case it detects tracking, loca on analy cs and engine any possibility of an accident, like if the health. Rollr provides connected vehicle driver is drowsy or the car is likely to hit a solu ons from devices to applica ons, pedestrian. The system would also be able thereby providing users access to vehicle to alert a central command, passenger’s telema cs comprising real- me tracking family in case of an accident. and loca on analy cs, engine health. It can also provide security alerts and driving The company plans to employ automo ve behavior, along with providing regular telema cs and use sensors like camera and radar to collect data. These devices would reports summarising pre-set parameters. collect data that would be sent to a central command where it would be combined with While Rollr Mini is perfect for families use other data like passenger’s booking history, me, loca on etc to be able to predict and as a track and trace solu on, Rollr Fleet prevent accidents. Earlier this month there were reports that the company is hiring caters to fl eet owners with more than ten technology professionals with autonomous or self-driving car coding skills. As of now vehicles and enterprise Rollr is aimed at the company is tes ng these systems on a fl eet of Ola cabs, however, the business large businesses with over 200 vehicles. model and how the expenses of employing these services will be met has not been made clear ll now. The report says the company aims to keep the expenses to the minimum and is in talks with some automakers on how these data can be collected and Tata Motors testing u lized. It needs to be seen when and how these features are added in Ola Cabs. driverless buses

KPIT launches ARAI certified AIS 140 compliant vehicle telematics device KPIT has launched ARAI (Automo ve Research Associa on of India)-cer fi ed AIS- (Automo ve Industry Standard)-140 compliant vehicle telema cs and emergency bu on solu on. According to KPIT, it is designed keeping in view the Indian opera ng condi ons and aligned to future Tata Motors is tes ng driverless buses AIS140 roadmap such as Vehicle Health at its Pune campus. The company has Monitoring, CCTV Camera, Passenger developed a full-fl edged bus which is Informa on System etc. Salient Features of being tested on a fi xed route, without any this AIS-140 Compliant Vehicle Tracking system are: human interven on, from the last two months. The bus uses the sensors placed • Easy to install at simulated bus stops to slow down or • Real- me vehicle updates adjust its speed allowing the passengers • Easy-to-integrate peripherals like voice box, LED Boards, etc. to board and alight. At present the buses being tested at a lower speed of 10Kmph • Ba ery backup up to 8-hour but as the pla orm stabilizes, they would be tested at higher speeds and more MapmyIndia Smart Mobility Platform realis c road condi ons. MapmyIndia has unveiled Smart Mobility Pla orm designed to Quick Takeaway address the emerging challenges ŠKODA AUTO India launches a new of the Automo ve Industry for version of its ‘MyŠKODA’ mobile app both personal and commercial Ashok Leyland to work with Phinergy customers. MSMP can be easily on electric vehicles connected to the vehicle using Zoomcar set to raise $50 million from mul ple interfaces like SDL (smart Mahindra & Mahindra and Ford device link). It becomes a central Nissan Motor plans to launch a low control point for the interac on budget electric car in India between the vehicle and the user. Trak N Tell launches “Intelli Fleet” The newly created MapmyIndia Map App will off er users a single window access to Scania and Haylion Technologies join features like naviga on, tracking, streaming media services, driver feedback etc. on the forces device of their choice viz. vehicle AV, smartphone etc. www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.29 THOUGHT LEADERS Electric Vehicles & Connectivity Driving the Indian Passenger Vehicles Towards Intelligent Mobility

The Auto Expo 2018 in New Delhi was our EVs into the Indian market” said the characterized by the absence of a few CEO of a leading Japanese manufacturer of the biggest brands including the likes with a strong presence in India. Although of Volkswagen Group, Nissan, Bajaj and we have seen mixed responses from Royal Enfi eld. However, the OEMs who OEMs when asked about their EV plans for did make it this year made sure that their India, all key OEMs took this opportunity Electric Vehicle (EVs) off erings and long to display their EV models in front of the term roadmap was out there to be seen masses. by everyone. The most eagerly awaited Mahindra and Tata Motors displayed a entry was Kia Motors and they certainly wide range of electric mobility off erings did not disappoint. Kia showcased its aimed not only at the private customer, en re line-up of vehicles introducing the but also fl eet operators in the last- Indian customer to its range of compact mile connec vity business. Although a hatches, luxurious sedans and SUVs. Kia few OEMs such as Honda showcased will launch its fi rst off ering in India in Pratap Singh EV concepts, the emphasis during this 2019. edi on was defi nitely on models that HARMAN The 2018 edi on of the Auto Expo saw the were closer to their produc on avatars. highest number of EV showcases by OEMs The excitement and buzz around EVs across vehicle segments, including two was evident as more customers were and three-wheelers apart from passenger seen enquiring about key performance Kaushik Madhavan and commercial vehicles. The message is indicators such as range, ba ery capacity, Director, Mobility Prac ce very clear – that all mainstream OEMs are charging me and price. (Automo ve & Transporta on) ready with their EV models, should the Frost & Sullivan Menasa The manufacturers also made sure Indian market demand a diverse range of that imagery was a rac ve as well. All electric mobility off erings. Kaushik Madhavan’s exper se lies EVs sported green / blue colored livery in compe ve intelligence and a rac ng customers. The 2018 edi on of benchmarking, new market entry and Passenger Vehicles – EVs on the Auto Expo has marked the beginning diversifi ca on strategies, new business Existing Platforms the Flavor of of electric mobility as a mainstream model analysis and evalua on and off ering. Buyers are more aware now of the Expo end consumer analysis of automo ve the various op ons available. technologies. “We will wait for the EV charging infrastructure to develop before we bring Two & Three-wheelers – Last- mile Connectivity driving Electric Propulsion Adoption The focus on improving last-mile connec vity in India has been on top of the to-do list for successive governments over the past 15 years. In this direc on, the Government has encouraged the development of last-mile connec vity solu ons in collabora on with private operators to make public transport more a rac ve, effi cient and viable. The 2018 edi on saw not only established mainstream OEMs such as Mahindra, Greaves and Piaggio but also smaller bespoke manufacturers focusing solely on electric 3-wheeler (3W) off erings such as Lohia and Vikram including Chinese OEMs such as Shigan. Lohia also had a solar powered 3 wheeler rickshaw on display. With the Government emphasizing the need to move toward renewable energy

PG.30 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com

sources, these products are likely to build with over 40% off ering raw & embedded Concept vehicles are always crowd- long-term viability for mobility operators. data through APIs. With consumer use- pullers in auto shows and this edi on Of par cular interest was the prototype cases increasing by the day, OEMs are was no excep on. With a wide variety of on display at the Greaves pavilion. Greaves inves ng in data analy cs to enable concept vehicles on display by all OEMs, has gone all the way in developing not themselves and customers to create the focus was largely on personalized only the vehicle, but have also invested “value-added” services such as loca on mobility op ons with electric propulsion. in the development of electric motor, based sugges ons, concierge services, Cloud connec vity, telema cs, electric ba ery management system and etc. If all the connected vehicles with the powertrain and personaliza on op ons peripherals including ba ery and res for ability to capture certain data types were were the key a ractors among all concept the electric 3W model. It is me for the mone zed at the current value per car per vehicles on display. electric 3W industry to see par cipa on year rates, the overall opportunity sums As the country moves toward new from mainstream OEMs such as Mahindra up to ~$2.0 billion. forms of mobility solu ons including and Greaves as this is only going to Among two-wheelers, TVS was the key aggrega on and subscrip on based increase compe on on product quality mainstream OEM with its Creon on usage, concept vehicles are much closer and reliability apart from strengthening display. Powered by three Lithium-ion to their produc on siblings. Frost & service and a ermarket support for long ba eries, the Creon can be charged to 80% Sullivan es mates EVs to account for term growth. in just 60 minutes. The model also off ers a about 30-35 percent of the new vehicles range of 80 km on full charge with a 0-60 market by 2030 transla ng to about Connected Vehicles – kmph accelera on of just over 5 seconds. 2.0 – 2.5 million new passenger vehicles transitioning towards Twenty Two Motors also showcased its annually. In this direc on, as we see more autonomous driving capabilities AI enabled, cloud connected electric 2W OEMs using auto shows as a pla orm capable of a range of 160 km which can to showcase their design language, Passenger Vehicle and two-wheeler be charged to 70% within an hour. With technology roadmap and customer- OEMs, focusing on introducing EV signifi cant investment in data analy cs, centricity, the importance of electric models are also inves ng signifi cantly Twenty Two Motors promises to off er mobility is higher than ever before. With on connected services including the customers a whole new experience in non-automo ve stakeholders such as likes of data management and cloud owning an electric 2W. insurance companies, energy suppliers enabled services. Most companies are and so ware companies jumping into the experimen ng with diff erent data delivery Concept EVs – Global Design fray, the EV Ecosystem is fast turning into models ranging from raw data to off ering Language Showcase to Attract an eclec c mix of players who will play a services such as targeted adver sing Indian Buyers key role in the long run. Korean self driving vehicles at Pyeongchang Winter Olympics At Pyeongchang Winter Olympics, Hyundai Motors, South Korea’s largest automaker showcased its autonomous sedans. KT Corp, country’s largest telephone company also showcased its self-driving bus named 5G Bus at the event according to a report by The Associated Press. Hyundai is the local sponsor for the transport category of the games this year. It is also known that in comparison to other automakers is a late entrant to this race for developing self-driving cars, therefore, this exercise will also help the company to shed that image. Hyundai also has tested its fl eet of self- and naviga on through toll gates using Hi- two “5G connected” buses to the media driven fuel cell electric cars in Korea as pass, South-Korea’s wireless expressway as driving unmanned, but these buses we had reported. The cars successfully payment system. Hyundai also has got into were opera ng in the seaside town of completed a journey of 190 kilometers a strategic partnership with technology Gangneung, where Olympic ice hockey from Seoul to Pyeongchang. This is the company Aurora with the aim to bring and ska ng matches are underway. The fi rst me level 4 autonomous driving was self-driving vehicles to market by 2021. company plans to begin 5G services achieved with fuel cell electric cars. KT, the Korean telecom giant, along with across South Korea in 2019. Showcasing these vehicles at the Olympics not only In their journey to Pyeongchang, the Intel and Samsung Electronics, has built 5G show the country’s progress in the fi eld cars had performed many func ons networks as a trial service in the Olympic of advanced vehicle technology but also like entering the highway, moving in towns. Being the telecom sponsor of the helps to allay fears and popularise these response to the natural fl ow of traffi c, Winter Olympics but not the automo ve technologies among the a endees and lane changes and overtaking maneuvers, sponsor, the company did not present its the audience world over.

PG.32 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com Advertorial Technology Leaders for AIS-140 Implementation

In one of its latest standards published, Who and how does AIS -140 the AIS - 140, ARAI deals with Intelligent impact? Transport Systems (ITS). This standard As per the Ministry of Road Transport applies to both individual components and Highways (MoRTH), all passenger within the vehicle as well as the overall transport vehicles including taxis and ecosystem of public transport. The buses are to be mandatorily equipped standards have been provisioned with GPS devices star ng 1st April, 2018. for device level approval; including specifi ca ons of the new devices to be Make In India GPS Device manufacturers installed. Device level approval is needed such as Volty IoT Solu ons Pvt Ltd, have to enable retro-fi tment of ITS systems invested into vehicle safety and security on in-use vehicles. This will ensure ITS solu ons along with their technology Backend Control Centre infrastructure, partners Ublox. They have already already present with the STUs, can developed the AIS 140 complaint device be more fully u lized and make the hardware, under their fl agship brand investment in the Backend Control Centre TranSync. They can be the right kind of infrastructure more viable. partners for such a fl eet transforma on project for state transport undertakings. What does AIS 140 entail? Out of the various standards defi ned in the Daniel Ammann Execu ve Director AIS-140 is being implemented across the AIS 140 only the Vehicle Tracking aspect ublox country for all public transport vehicles, (VLT) and the Emergency Bu on or Panic star ng 1st April,2018. bu on or SOS Bu on have been chosen by the government for enforcement. Given Broadly AIS 140 defi nes the Safety and Why is the U-Blox technology the government’s push on road safety Security feature requirement for all public superior? and its clear intent on implementa on of transport vehicles. It defi nes that all such U-blox is a global leader in wireless these standards despite some push back vehicles must be fi ed with GPS tracking communica ons and posi oning from some quarters, it is best that the devices specifi cally for Vehicle Loca on semiconductors and modules for the following organiza on start planning the Tracking and with the func on of a industrial, automo ve and consumer incorpora on of this standard into their mandatory Emergency Bu on also known markets. With over a decade of fl eet: as panic bu on or SOS bu on. experience working with the automo ve 1. State Transport Undertakings – Inter- There are many specifi ca ons (~30 specs) industry, U-blox has posi oned itself as a city & Intra city for the GPS tracking device, under the leading provider of GNSS technology for AIS -140 of which we have listed a few 2. Private Bus Operators – Inter & Intra the growing automo ve market. important ones here : city U-Blox and Volty IoT Solu ons are 1. Loca on tracking through Indian 3. Car and Bus Taxi fl eet owners or technology partners for bringing the best Regional Naviga on Satellite System operators (incl. corporate fl eets) in class AIS-140 complaint devices and solu ons for the Indian market (IRNSS/NavIC) 4. Schools, Colleges and ins tu onal 2. Communicate to designated backend (incl. corporate) bus operators The key aspect of the U-Blox technology from an AIS-140 perspec ve is that, government servers with PVT data 5. Rental taxis operators together with Volty, they has invested 3. Dual IP addresses for PVT data and 6. Taxi hailing service providers in developing a roadmap with specifi c Emergency response 7. Self-driven car rental operators features in their modules to address the 4. Alert ID on pressing emergency bu on 5. 4 hour internal ba ery back-up 6. Unique ID or IMEI number 7. Register vehicle to device 8. E-SIM 9. Operate between 8VDC to 32VDC 10. Assisted GPS 11. 3 axis accelerometer and gyroscope 12. Mul -slot GPRS

www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.33 Advertorial

AIS-140 specifi ca ons. Some of the salient Who can you reach out to for behaviour features from this roadmap are as follows: being AIS - 140 compliant? e. Solid Waste Management 1. Highest accuracy amongst IRNSS There are not even a handful of OEMs 2. Two Wheeler Tracking– for sales (NavIC) compa ble modules (<1 mt who have invested in developing the force management accuracy using L1& L5) AIS140 complaint GPS tracker with panic 3. Warehouse Management 2. High sensi vity of -167 dBM which bu on. These OEMs have queued up at powers greater accuracy ARAI & ICAT to get their devices AIS 140 4. Three wheelers – for hailing apps 3. Smallest available IRNSS module cer fi ed. TranSync (www.transync.in), a 5. Asset Management – for Person of which is 17.0 X 22.4 mm small GPS Tracker brand of Volty IoT Solu ons Interest (PoI), Cargo and Logis cs Pvt Ltd is a leader in the Indian GPS device management 4. First in the market with 12 band, dual OEM market, with hundreds of thousands frequency There are also a plethora of so ware of its devices func oning live on the service providers who will integrate these 5. High availability with precision up to Indian roads. TranSync, not only provides AIS 140 complaint devices onto their cen metre level AIS-140 complaint devices, but also GPS Vehicle Tracking Pla orms and provide 6. Dead Reckoning op on for trackers for all other tracking needs such various packages for end clients. as: posi oning in challenging situa ons The VLT service with command centre 7. High security with an -jamming and 1. Fleet Management Solu ons: integra on solu on is a long term spoofi ng a. Logis cs Management investment for all the mandated service U-Blox has 12 years of experience in b. Mining Fleet Management providers. As an end client, it is advisable the automo ve industry and is the No.1 to be ahead of the game and fi nd the right c. Oil and Natural Gas Fleet kind of partner for your ITS journey. The preferred partners of GPS device OEMs Management globally. In India, U-Blox has a strategic ideal partner is the one who can survive partnership with Volty IoT Solu ons for d. Insurance Management – through investment and innova on in this AIS-140 device and other devices as well. with advanced analy cs of driver constantly evolving space.

ublox announces F9 technology platform for industrial and automotive applications ublox has announced F9 technology pla orm. The pla orm combines mul -band Global Naviga on Satellite System (GNSS) technology with dead reckoning, high precision algorithms, and compa bility with a variety of GNSS correc on data services to achieve precision down to the cen meter level. It uses GNSS signals in mul ple frequency bands (L1/L2/L5) to correct posi oning errors caused by the ionosphere and deliver fast me to fi rst fi x (Fast TTFF). Its ability to receive signals from all GNSS constella ons (GPS, GLONASS, Galileo, Beidou) further improves performance by increasing the number of satellites that are visible at any given me. Stand- alone ublox F9 solu ons robustly achieve meter-level accuracy. To achieve cen meter-level accuracy, ublox F9 off ers op onal on-chip Real Time Kinema c (RTK) technology. In addi on to systems that protect against inten onal and vehicular infotainment systems as off ering an open interface to legacy GNSS and uninten onal interference. well as for vehicle-to-everything (V2X) correc on service providers, it supports Dead reckoning technology based on communica on, a prerequisite for highly the main GNSS correc on services, taking iner al sensors extends high precision automated and fully autonomous vehicles. RTK high precision posi oning to mass performance to otherwise challenging In the industrial realm, the pla orm will markets for the fi rst me. urban environments. enable mass adop on of commercial Op mized for low power consump on, The pla orm will fi nd applica on in unmanned vehicle applica ons including the ublox F9 pla orm has built- automo ve technology that includes drones and ground vehicles such as heavy in jamming and spoofi ng detec on lane-level naviga on for head-up displays trucks or robo c lawnmowers.

PG.34 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com

THOUGHT LEADERS The Opportunity for Engineers as Domain Experts in Closing the Data Scientist Gap

ins nct is not wrong, but these types of op miza on, data-specifi c techniques candidates are rare. You may fi nd success such as signal processing and image by focusing on domain exper se. Domain processing, as well as new capabili es exper se is o en overlooked, yet it is such as machine learning algorithms. In essen al for making judgement calls par cular, machine learning with big data during the development of an analy c leads to a host of diff erent technologies model. It enables one to dis nguish that support the itera ve process of between correla on and causa on, building a data analy cs algorithm. It’s and between signal and noise. Domain this beginning stage of the itera ve knowledge is hard to teach. It requires process of building the algorithm that on-the-job experience, mentorship, and can set a business up for success. This me to develop. This type of exper se is itera ve process involves trying several o en found in engineering and research strategies like fi nding other sources of departments that have built cultures data and diff erent machine learning around understanding the products approaches and feature transforma ons. they design and build. These teams are Given the poten ally unlimited number in mately familiar with the systems they of combina ons to try, it is crucial to Wensi Jin work on. They use sta s cal methods iterate quickly. Domain experts are well Automo ve Industry Manager and technical compu ng tools as part of suited to iterate quickly, as they can use MathWorks their design processes, making the jump their knowledge and intui on to avoid Wensi Jin is responsible for strategic to the machine learning algorithms and approaches that are unlikely to give planning and technology rollout. His focus big data tools of the data analy cs world strong results. The faster an engineer is to foster industry adop on of Model- manageable. Instead of searching for with domain knowledge can apply their Based Design and MathWorks tools. Prior elusive data scien sts, companies can stay knowledge with the tools that enable to joining MathWorks, he worked on real- compe ve by enabling their engineers quick itera ons, the faster the business me simula on and hardware in-the-loop to do data science with a fl exible tool can gain a compe ve advantage. test systems. He also worked on automa c transmissions control systems at General environment like MATLAB that enables According to Gartner, engineers with Motors Powertrain. Wensi holds a degree engineers to become data scien sts. the domain exper se “can bridge the in Electrical Engineering from University of Engineers with domain knowledge need gap between mainstream self-service Texas at Aus n. fl exible and scalable environments to analy cs by business users and the do data science. They need tradi onal advanced analy cs techniques of data Ge ng data from test vehicles into the analysis techniques such as sta s cs and scien sts. They are now able to perform hands of end users is a common barrier for engineers who need data to formulate requirements for new products, troubleshoot fi eld problems, and come up with new technologies. Connec vity technologies such as CAN and high-speed Big Data mobile communica on removed this barrier in many situa ons. With more and Analy cs and more streaming data from vehicles, we Machine Learning are faced with a data science challenge. plus signal processing, Pump logs neural networks & more We need to ensure that the speed of of temperature, pressure data analysis is keeping pace with data & other data intake and, equally important, provide the capability to zoom into and extract insight from stored data throughout the engineering community. To address this new challenge, one o en Predic ve Model deployed to drill site looks for those who have computer Maintenance science skills, knowledge of sta s cs, Needed and domain exper se relevant to their specifi c engineering problems. Such Baker Hughes predic ve maintenance workfl ow

PG.36 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com sophis cated analysis that would systems on the pumping trucks enabled the analy c up to the servers maintained previously have required more exper se, them to dig into the data and iterate by IT, and down into embedded devices enabling them to deliver advanced quickly. such as an ECU. I have personally worked analy cs without having the skills that Baker Hughes predic ve maintenance with many teams using MATLAB to build characterize data scien sts.” workfl ow: Leveraging tools for processing engineering analy cs applica ons and Let’s look at a real-world example. big data and applying machine learning, automa cally convert their analy cs Engineers at Baker Hughes used machine engineers such as those at Baker Hughes model to run in embedded devices, which learning techniques to predict when are well-posi oned to tackle problems reduces development me by several pumps on their gas and oil extrac on that improve business outcomes. With months, and eliminate bugs caused from trucks would fail. their domain knowledge of these complex rewri ng the analy cs programs. They collected nearly a terabyte of data systems, engineers take these tools far Technologies that enable domain experts from these trucks, then used signal beyond tradi onal uses for web and to apply machine learning and other processing techniques to iden fy relevant marke ng applica ons. data analy cs techniques to their work frequency content. Domain knowledge How to start? Engineers with domain are here to stay. They provide exci ng was crucial here, as they needed to be knowledge should look for tools that opportuni es for engineering teams to aware of other systems on the truck get them up and running quickly. They innovate—in both their design workfl ows that might show up in sensor readings, need to ensure that the selected tools and the products they create. Given the but that weren’t helpful at predic ng can simultaneously lower the bar for shortage of data scien sts, engineers pump failures. They applied machine machine learning for the domain experts as domain experts have an opportunity learning techniques that can dis nguish a and provide fl exibility and extensibility to play a crucial role in fi lling this gap. healthy pump from an unhealthy one. The for others. Finally, engineers need to Their knowledge of the business and the resul ng system is projected to reduce integrate their data analy cs work with products it produces posi ons them well overall costs by $10 million. Throughout their companies’ systems, products, and to fi nd innova ve ways to apply data the process, their knowledge of the services. This typically means deploying analy cs technologies.

Intel invests in Moovit, a transit data and mobility analytics company

Moovit has closed a $50 million Series D round led by Intel Capital. The other investors are Sequoia, BMW iVentures, NGP, Ashton Kutcher’s Sound Ventures, BRM, Gemini, Vaizra, Vintage, and Hanaco. It is known that Moovit is a transit data and mobility analy cs company and transit app. The Israeli startup combines informa on from public transit operators and authori es with live informa on from its user community and off ers transit riders a real- me picture, including the best route for the journey. Moovit plans to use the funds to expand its global sales team, enhancing its consumer products to support user growth and inves ng in its Mobility as a Service (MaaS) pla orm. The company expects to surpass 1 billion users by 2021 and to expand the number of ci es. The investment in the company by Intel automated driving, mobility management “Moovit is one of the world’s leaders is important as along with Mobileye pla orms and smart infrastructure, Intel in public transit data and analy cs, Moovit’s technology and data can be is at the forefront of a fundamental the combina on of Mobileye’s and instrumental in Intel’s plans related to transforma on of urban mobility.” Moovit’s technology and data will autonomous vehicles. Amnon Shashua “We’re working with some of the be instrumental in making ci es SVP of Intel and CEO / CTO of Mobileye most innova ve transit companies, ready for autonomous vehicles.” will join Moovit’s Board of Directors as an municipali es and transit authori es to said Professor Amnon Shashua, observer. build cri cal founda onal technologies SVP of Intel and CEO / CTO of Mobileye in Feb 2018. “With signifi cant investments in for this transforma on.” www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.37 THOUGHT LEADERS Smart city frameworks of the near future

called Roadi, focused on helping drivers which will interface with the consumer navigate for parking in a smart city. My and the server clients. The applica on teams work, experience and conversa on framework is what the consumer and has convinced me of the need to be er ci zen will experience and interact with in conceptualize the frameworks that will the form of products and in some cases shape smart ci es, and why. services. Internet of things relates to machine Frameworks to machine communica on, where the Infrastructure framework can be user no longer needs to make a series of represented well by systems such as low decisions in selec ng from a variety of emission zones. Having successful low choices, in their day to day ac vity. Also, emission ini a ves is made possible by decision making applica ons provide a having the right infrastructure that can mechanism for making and enforce policy detect data such as air quality or traffi c decisions. Pratap Singh conges on pa erns. Another good HARMAN example of a smart infrastructure is IoT stats Opeyemi Thomas having a network that supports an electric • According to a post by PR newswire, Founder and CEO vehicle infrastructure. This is cri cal as an cipated growth in the US is Roadi autonomous, decision making, devices projected to grow at a CAGR over will likely be electrical powered. 14% during and can be a ributed Opeyemi Thomas is the Founder and to growing number of connected CEO of Roadi, a so ware development Ul mately a smart city lays a founda on to company focused on applica ons for deliver a sustainable city. An encyclopedic devices, rising internet penetra on, smart ci es. He is member of U.S. defi ni on of a sustainable city states, “A an technology advancements Na onal Ins tute of Standards and sustainable city is one that is designed to Technology (NIST), responsible for se ng have as li le impact on the environment • ‘Hardware’ accounts for largest share standards in methodologies of smart ci es in the country’s IoT market, followed development. as possible” by ‘So ware’ and ‘Services’ segments. Applica ons framework relates to the Moreover, consumer electronics and variety of IoT and machine learning transporta on sectors dominated Increasing internet connec vity, devices that will carry out the services the US IoT market in 2016, and the disrup ve business models, and demand that will be available in a smart city. I will segments are an cipated to con nue for autonomous devices, that automate provide some sta s cs of the Iot market domina ng the country’s IoT market decision making have become drivers of as it represents much of the applica ons in the coming years as well smart city developments. Environmental market. The other elements are so ware health and policy making represent convergent points that will shape the near-term development of smart ci es. It is common to look at the poten al implica ons that a single technology can have on our communi es, however it is the convergence of technologies at the right me in consumer adop on that have the greatest impact. For example, the internet, smartphones and broadband connec vity met at the convergence point of consumers demanding mobile services. This convergence point redefi ned how we communicate and interact more than any individual technology did by itself. I fi rst came to think about this when discovering the SixSense technology in 2009, a gesture based wearable computer system developed by Pranav Mistry, now SVP at Samsung. Moreover, for three years I have built and run a mobile startup, Source: http:www.Intel.com

PG.38 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com

Example Smart city frameworks of the The health of some ci es are linked to the level of waste produced by freight near future: Increasing internet movements, therefore be er decision connectivity, disruptive business making through automa on is being explored by business owners and public models, and demand for autonomous offi cials. devices, that automate decision 4Findings by the U.S. dept of transporta on found that impact on public heath could making have become drivers of be made by, “improving reliability of smart city developments. freight by installing signals that priori ze truck movement along freight corridors. Providing truckers with real- me informa on on parking availability and truck routes. Demonstra ng the poten al transit hub case studies. Convergent points for automated and connected freight The convergent point of public health vehicles to make freight movements safer Public health (allow products to make will produce opportuni es that relate and more effi cient.” decisions for us): Public health also the key factors of a sustainable city, as Public policy convergence comes accounts for the health of the physical 2 described by Salem Press Encyclopedia from the need to help us make be er infrastructure. The public health as: air quality, clean water, energy use, decisions. The goal of which is to reduce centered smart city ini a ves u lize an biodiversity, food and agriculture, waste. future nega ve environmental impact, infrastructure framework. India is leader in the development of improved mobility of people and the Since many of the decisions and smart ci es. with a large popula on and economy. Applica ons are produced for associated tasks humans make day to day the migra on into ci es, ci zens are in consumers because of policy changes. On can be automated or remotely managed, more demand of scare resources. Also, the other hand, disrup ve technologies much of the associated waste can also the size of the popula on in ci es poses can infl uence policy making. The recent be reduced. Think for example the environmental challenges. In India you case of ridesharing apps and their eff ect progression of technology used to make can fi nd more interest in the infrastructure on infrastructure and policy decisions. the fi rst maps, then so ware applica ons development and whole Iot systems, LEZ at the applica on level will bring created maps, now we want our devices in contrast to interest in standalone opportuni es and inven ons from new to not only present us with the best, waste 3 applica ons. Findings of students from vendors who provide the products reducing, route but to also make the route Amrita School of Engineering in a paper and services to the ci zens and public decision and carry out all the associated showed that urbaniza on and popula on agencies. Alterna vely, consumer demand tasks. At each level we were reducing growth has led to higher demand for for a product will greatly infl uence the the distance between a person deciding resources like water which are of scarce.” policy making of offi cials. The increasing and ac ng, and subsequently reduce the (VIJAI,2016) waste associated with human ineffi ciency. Low emission zones (LEZ) present a use case where Iot connects the infrastructure and applica on frameworks. The sensors in street lights, for example, can sense a vehicle entering a LEZ and send a signal to reduce the vehicles speed or take other ac on to manage the vehicle’s impact on air quality. Remote sensing devices have shown to be able to enforce LEZ emission zones through trials in ci es such as London. Other ways that ci es are adop ng health focused frameworks is with electrical vehicle (EV) infrastructure. States in U.S. now are providing incen ves for businesses that support the development of EV networks. and other smart transit solu ons such transit hubs, where EV ports are installs, 1Maryland EV highlights Source: https://www.Canva.com

PG.40 | Smart Automo ve | Mar - Apr 2018 www.telema cswire.net I www.coe-iot.com numbers of autonomous devices built compelling consumer goods. The authors for op miza on, on the micro and macro of a research paper focused on consumer scale, will press policy makers with the response to smart grids, found that, “they ques on, What to op mize for. (consumers) displayed an interest in Applications that The Interna onal Society for playing a much more informed and ac ve will have the most Photogrammetry and Remote Sensing role in energy decision-making,” regarding impact will come (ISPRS) states, “The holy grail of smart smart grids the research concludes ci es is an integrated, sustainable that, “More policy a en on is needed from artificial approach to improve the efficiency of on demand-side measures, introducing intelligence; electric the city’s opera ons and the quality ins tu onal and regulatory changes, of life of ci zens.” – (ISPRS, 2017). and modifying rela onships between vehicles; autonomous Disrup ve technologies will cause policy consumers, the government and u li es.” vehicles; mobile makers to make decisions about policies Companies like Roadi which provide applications; drones; surrounding technologies used in public wayfi nding technology for real me spaces either physical or digital. At Roadi, parking availability focus on the user wearable and smart we have also helped design so ware that experience of fi nding parking nearby devices. Each one and can detect freight vehicles entering low their current loca on. Giving more emission zones. a en on to the user experience in public their integration will Applica ons that will have the most impact policy framework is more important pose a challenge for will come from ar fi cial intelligence; than is a public health convergence or policy makers electric vehicles; autonomous vehicles; infrastructure framework. This is so mobile applica ons; drones; wearable because policy makers will be limited in and smart devices. Each one and their implemen ng new smart city focused framework that touches both public integra on will pose a challenge for policy ini a ve if consumers do not adopt the health and public policy and creates makers. They provide many opportuni es associated technologies helps to increase opportuni es on the applica on level for for op miza on and be er decision the adop on of smart city applica on. vendors and consumers. making, but the con nued advancement 5The report from one smart city workshop poses a challenge for policy makers observed “Team members agreed that the Smart ci es answer the ques on of what to ensure the ci zens best interests goal of applying smart ci es technology is to op mize for, by op mizing for the are accounted for while s ll enjoying to signifi cantly improve the quality of life environmental and economic health of the benefi ts of the advancements in for residents.” the ci zens. Public policy convergences technology. Consumer engagement, want to improve transporta on, economic and consumer adop on are a cri cal Bringing the concepts together mobility, and safety. A city op mizing for factor in the policy decision. This breeds Intelligent Transport Systems (ITS) – (PR) public health will apply technology more incen ve for business owners to deliver an example of an infrastructure level aggressively and seek system level tools that will support an infrastructure which can reduce the causes of poor public health. Intelligent transport systems being such an example. An applica on level framework will likely be focused on the convergence of public policy needs. Here policy makers will implement department specifi c technology rather than whole infrastructure specifi c systems. Regardless of which framework is adopted in the long run most ci es will arrive at the same des na on of having a deeply integrated and autonomous city.

References 1h ps://marylandev.org/2016/11/23/incen ves/ #federal 2h ps://salempress.com/ 3h ps://smartnet.niua.org/sites/default/fi les/resources/ Design of iot systems.pdf 4h ps://www.transporta on.gov/smartcity/how-we- move-things 5h ps://www.goroadi.com/roadiblog/2017/12/18/ Figure: Roadi smart parking wayfinder display smart-city-frameworks-and-methodologies Source: Opeyemi Thomas www.telema cswire.net I www.coe-iot.com Mar - Apr 2018 | Smart Automo ve | PG.41 Startup Corner

Intellicar Telematics

Intellicar Telematics, an IoT & Big data company was set up in 2015 by Karan Makhija, Kaushik Raju, Shunmuga Krishnan and Sidharth Middela, with a vision to provide in depth analytics to help clients increase efficiencies and reduce downtime. • Karan Makhija, Co-founder - focused on operations, business and product development • Kaushik Raju, Co-founder - looks after the business strategy • Shunmuga Krishnan, CTO & Sidharth Middela, VP Engineering - manages technology and product development

The Team at Intellicar Telematics

the team says that it has been tough but damages. Moreover, it can provide insights fun; they have had some ups and downs on on how particular drivers are affecting the the way but each step teaching us valuable health and safety of a vehicle like vehicle The Genesis: The founding team decided lessons. Market responses has been quite health scores. to start a company that could position overwhelming, and they are in the process This allows its clients to efficiently use itself as one of the leaders in IoT and Data of consolidating various opportunities. One their vehicles while avoiding unforeseen Analytics. of the biggest challenges they faced was breakdowns during travel, monitor fuel moving the mar-ket from a simple track pilferage, plan better routes. Speaking Moving forward: The Intellicar Telematics and trace solution to utilizing the power about the data-driven business, Karan founders were keen to come up with of data to enable businesses make more says, “There is a lot of noise in the market solution that solves real world problems informed day to day decisions and develop especially in the simple track and trace faced today. They believed in knowing long term strategies more effectively. solutions. We are often compared to this, how to tailor make a solution for different Moreover, the team has successfully we believe in providing progressive and clients rather than assuming one size fits all managed to sustain without any outside holistic solutions to businesses using the as every company has different priorities. funds. power of data.” They decided to work with B2B first to Business model: Treating all its clients as ensure they address larger use cases and partners, the team at Intellicar Telematics Future plans scale the product. This also made unique believes in understanding their business The company’s future plans majorly economic sense to go that way before and subsequently figuring out how to include: they moved to B2C. In a short span, they solve problems they are facing today and • To increase geographical reach and have been able to prove as a valuable problems they may face going forward. work with major OEMs around the partner to leading companies in various The company’s unique proposition is world. sectors, from Self-drive, Taxi aggregators, complete connectivity with clients’ assets Truck Logistics, construction equipment, and predictive maintenance. Through • To continuously evolve and add Insurance and Mining, among others. proprietary algorithms, exact useful life more products that solve real world estimation of parts like when a part is problems. The journey so far and challenges required to be serviced or changed can be • To be a world leader in the connected faced: Talking about their journey so far, predicted which can reduce consequential ecosystem space.

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