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OEM Challenges

Intelligent Transportation Systems: A Vehicular Perspective S. Ramesh India Science Lab, GM R&D Bangalore. OEM Challenges. Car owners are increasing along with the population increase Population: 6B (now) – 7.5B (2020) – 9B (2050) From 12% (now) - 15% (2020) - 20% (2050)

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OEM Challenges

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  1. Intelligent Transportation Systems: A Vehicular PerspectiveS. RameshIndia Science Lab, GM R&DBangalore

  2. OEM Challenges • Car owners are increasing along with the population increase • Population: 6B (now) – 7.5B (2020) – 9B (2050) • From 12% (now) - 15% (2020) - 20% (2050) • Cars: 700M (now) – 1B (2020) – 1.5B (2050) • 1B to 1.5B vehicles is not sustainable! • Environment • Energy • Safety • Congestion • Affordability

  3. Stylish Customer Requirements • Energy efficient • Environmentally friendly • Safe • Reliable • Functional • Fun to drive • Affordable

  4. Auto Industry Challenges Challenges Stretch Goals • Energy Low-cost renewable energy • Emissions No tailpipe environmental impact • Safety Vehicles that never crash • Congestion Congestion-free routing • Personalization Customize without complexity • Affordability All of above with price constrained

  5. Goal – Vehicles That Drive Themselves Where am I – GPS + digital maps What’s around me – 360°sensing (sensors + “V2V”) Take me where I want to go – Software algorithms + electronic controls and actuators

  6. Intelligent Vehicles and Highways

  7. 360° Safety with Integrated Sensor Strategy • Forward Vision System • Lane tracking • Object detection • Far IR capability Short-Range Blind-Spot Sensors Long- Range Scanning Sensor Short Range Sensors Long Range Sensors Short- Range Sensors Enhanced Digital Map System • Rear Vision System • Object detection • Far IR capability

  8. System Integration EPS+AFS (Partial Steer-by-wire) Wheel Motor Brake by Wire Hybrid PowerTrain V2V V2I 360o Sensing Active Safety to Autonomy • By-wire applications • Partial and Fully • Autonomous • Federated to • Integrated functions CAN

  9. Autonomous Driving On-Demand Autonomous Driving Vehicle drives itself for an entire travel journey • Vehicle as Chauffeur Vehicle performs autonomously “on-demand” for limited travel • Highway-Only Autonomous Driving Semi-Autonomous Driving Driver Assist/Warning Distributed control between vehicle and driver • Lane Centering • Lane Departure Warning • Side Blind-Zone Alert Roadmap to Autonomous Driving Functionality Today Future

  10. Middleware Challenges • Distributed Autonomous Agents • Mobility • Context Awareness • Real-Time Response • Safety-Criticality • Quality of Service • Fault-Tolerance • Security • Evolution of Changes

  11. Thank You

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