Catalyzing Connected Car Proliferation ehicle connecti vity is expanding at a rapid rate. In fact, according to Gartner, by 2020, there will be V Remote a quarter billion connected vehicles on Monitoring & Safety Soluti ons the road, enabling new in-vehicle services Control Soluti on Awareness and automated driving capabiliti es. Driving Phase Currently, automoti ve connecti vity focusses on driver comfort, safety, enduring car automati on and provides Accident free boundless business opportuniti es Sensing Driving Autonomous at various stages of connected car Phase Driving Phase implementati on. Implementati on of this V2X Cloud may surface various challenges, which need several catalyzing agents to enhance IN-V the connected car proliferati on. Autonomous Driver Comfort & The three basic connected spaces – In- Features Experience vehicle connecti vity, V2X connecti vity Synchronized, and cloud connecti vity – are being driven Cooperati ve Cooperati ve Driving Phase by several factors during connected car Driving Phase implementati on phases. While some of these factors would create new challenges, others would enable novel technological soluti ons to ensure the Innovati ve smooth movement of the connected Business world from one phase to the other. Soluti ons Advancements in technological areas related to safety systems, display, Connecti ve Connected Car Connected Car and telemati cs combined with the Space Segments Implementati on Soluti ons developments in V2X and telecom would Phases result in newer soluti ons for safety and driver comfort. Technological progression Implementa on phases in connec ve spaces for connected car solu ons can transform the existi ng limitati ons into opportuniti es and would require infrastructure & technological catalyzing data derived from various automoti ve strong catalysts to bridge the gaps and soluti ons. subsystems. The lack of adequate produce eff ecti ve integrated soluti ons for Most of the vehicle safety and other primary level data & data consolidati on connected cars soluti ons. connecti ve business soluti ons are methods which limited the possibiliti es of Driver experience and comfort have achieved by close integrati on of connected soluti ons have been addressed primarily driven the need for status/ automoti ve subsystems (such as ADAS, in the ‘Sensing Driving Phase’ by warning data from various automoti ve V2X and Telemati cs) and there is a providing consolidated data from sensors subsystems, but the increased emphasis slow shift in the kind of integrati on and ECUs which might increase the on vehicle safety has pushed the demand from interdependent to cooperati ve overall cost of embedded infrastructure. for bett er connecti vity, enhanced data subsystems of connected car. This trend The soluti on lies in opti mizing the cost of security, advanced safety technologies is pushing the automoti ve world from the embedded infrastructure (sensors, and integrated soluti ons. standalone enti ti es to cooperati ve and connecti ng elements) and proper Most of the vehicle safety and other well synchronized enti ti es, which requires integrati on of vehicle electronics, which connecti ve business soluti ons are meti culously architected embedded is one of the key catalyzing agent. Some achieved by close integrati on of infrastructure & technological catalyzing surveys indicate that the cost of in-vehicle automoti ve subsystems (such as ADAS, soluti ons. electronics may increase by around 10% V2X and Telemati cs) and there is a To understand this further, let us analyze every two years, in order to meet the slow shift in the kind of integrati on the connected car acti viti es and the projected requirements of connected car. from interdependent to cooperati ve challenges cropping up at each phase, The ability to integrate vehicle electronics subsystems of connected car. This trend along with the possible catalyzing at the system and module level may is pushing the automoti ve world from soluti ons. help achieve cost opti mizati on and may standalone enti ti es to cooperati ve and provide clarity on the progressive cost The basic need of connecti vity lies in per feature. This needs be addressed well synchronized enti ti es, which requires effi ciently analyzing and representi ng the meti culously architected embedded by considering product/feature quality PG.38 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net levels, which may grow from each phase the deployment of platf orm independent of connected car. soft ware architecture with fl exibility, Network service performance with 4G is modularity and scalability. A strong a big catalyzer and can help to add more soft ware architecture, with AUTOSAR relevant data to Telemati cs. Advanced would address these problems. Over-The-Air data transfer methods along Sensor data collected from various with stringent data security measures sources may need to go through would be indispensable for the future of advanced fusion techniques for the connected cars. accurate compilati on of safety data. This Making consolidated vehicle data data is criti cal for system level integrati on available at backend would enhance and address challenges posed byfeatures data analyti cs, providing business such as adapti ve cruise control, lane keep opportuniti es for OEMs, fl eet/asset assist etc. These features will be more management and other services, thereby signifi cant in the connected car context, increasing the demand for improvised when addressed with highly accurate connected infrastructure and bett er positi on & localizati on data. connecti vity among the subsystems While the ADAS roadmap has been providing raw data for data analyti cs. predicted up to the year 2019-20, the Some surveys believe that a well- ‘Cooperati ve Connected Car systems’ architected backend soluti on with highly roadmap plans are roughly being detailed reliable connecti vity can supplement around the year 2019-21. 5G will also Chandrasekhar Konakalla some functi ons of automoti ve embedded be introduced in the market during this Global Head – Connected Car subsystems. period. With most of the work related Tata Elxsi Ensuring the availability of relevant to connected car targeted around the data from various sensors, ADAS, V2X same ti me, few of the challenges may and others for processing various be addressed but the industry may safety applicati ons would increase the face several other challenges related During this ti me phase, overall cost of demand for ECUs with higher processing to the technical stability of connected the connected soluti ons, specifi cally that capabiliti es and matured communicati on features/services, high cost of technology embedded infrastructure in the vehicle methodologies resolve the challenges & products and most importantly the may touch new heights. It is important of connected car applicati ons, thereby synchronizati on of these enti ti es. Quality that these challenges are eff ecti vely paving the way for the ‘Cooperati ve gaps at the systems level integrati on, addressed, since this phase is vital and Driving Phase’. insuffi cient value engineering acti viti es, may witness complex scenarios, which reliability & robustness of the vehicle can slow down the progress of connected Though a cost center, it would also serve data and accuracy of predicti ve & fusion car soluti ons. as an opportunity for the opti mizati on soluti ons may be some of the core In short, embedded capability and integrati on of best-in-class vehicle reasons for these challenges. electronics. It would also pave the way for enhancements along with cost opti mizati on, system level Integrati on, positi on accuracy and data fusion techniques are the key catalysts to move Accident free the connected car journey to next level. Autonomous Driving These enhancements would create Synchronized, Cooperati ve a perfect ecosystem for the various Driving vehicle subsystems to interact and share their perspecti ves with each other. The Cooperati ve Driving phase (Synchronized and Cooperati ve Coopperati ve & Driving phase) where all the automoti ve synchronized systems subsystems would cooperate and Sensing Establishment of Driving synchronize with each other would create V2X 5G infrastructure High ECU more meaningful scenarios for connected Predicti ve processing systems using capabiliti es, low cars. Extended data fusion data latency 5G Network The consolidated data from the Awareness (V2X, ADAS, Stress on safety Wider range of Driving Sensors, ACC, various cooperati ve systems would Steering) on backend soluti ons vehicle networks Cooperati ve be subjected to superior predicti ve Advanced data connecti vity transfer methods algorithms and trajectories, thereby Data fusion addressing connected car features Data analyti cs Data security such as intersecti on assistance, VRU, cooperati ve adapti ve cruise control etc. Journey of connected car from the sensing phase to the coopera ve & synchronized phase The implementati on of these features www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.39 Sept - Oct 2016 | ` 100 RNI No: UPENG/2015/63476 ISSN 2454-8561 Automoti ve Telemati cs Connected Vehicles Fleet Management Infotainment ADAS Will our ecosystem help us exploit benefi ts of smart automo ve? www.telemati cs.net/mag PG.2 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.3 Contents Sept-Oct 2016 SMART AUTOMOTIVE Ecosystem Editor & Director Maneesh Prasad 06 Navigati ng through The Telemati cs Ecosystem Quagmire Director 08 Transforming Ecosystem of Telemati cs Lt. Col. M C Verma (Retd.) 10 Automoti ve Telemati cs Ecosystem: An open system approach Dy. Director Anuj Sinha 12 Automoti ve Telemati cs Ecosystem Asst. Business Editor 13 Improving Safety Outcomes and Enhancing Customer Experiences through Shaivi Tyagi reliable Automoti ve Telemati cs Corporate Sales Executi ve 14 Automoti ve Telemati cs in India: Evolving an Organic Ecosystem Abhinav Mishra 16 ECU Convergence: How it will change the shape of the automoti ve Rewanshi Singh telemati cs and infotainment ecosystem Content Support 18 Connected Vehicles and the Internet of Things that Really Matt er Rudravir Singh Asst.