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Centralized Computing for Autonomous Driving


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Visteon presented at the 13th Seminar of Consortium for Automotive Industry & Technology in Beijing in July 2018.

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Centralized Computing for Autonomous Driving

  1. 1. Visteon´s Autonomous Driving Platform 13th Seminar of Consortium for Automotive Industry & Technology (CAIT) Centralized Computing for Autonomous Driving Markus Schupfner CTO Visteon Corporation
  2. 2. 2 1. Market Trends in Autonomous Driving 2. Why Centralized Computing 3. Visteon’s Autonomous Driving Platform DriveCore™
  3. 3. Market Trends in Autonomous Driving 3
  4. 4. Automotive Cockpit and ADAS/AD Technology Trends 4 L1-L2 ADAS L3-L4 Autonomous 20102005 2015 2020 2025 ECU Consolidation Connected Car Cockpit for Autonomous Digital Cockpit MACRO TRENDS AUTOMOTIVE COCKPIT AND ADAS TRENDS Autonomous Connected Electric Shared
  5. 5. Growth Centralized Computing Cockpit 5 A wide range of system level benefits drives domain controller integration Why adopt to a Domain Controller Architecture? • Light weight • Cost reduction • Power management • Performance • Seamless Data fusion • Extended user experience • SW/HW separation enables scalable SW platform
  6. 6. ECU Consolidation in Automotive Electronics 6 Visteon focused on cockpit and ADAS/AD controller solutions Reduces cost, weight and power consumption ECUs in car 30 - 100+ Consolidation of ECUs into domain controllers Leverages silicon and software innovations Today Tomorrow Cockpit ControllerADAS/AD Controller Visteon’s Focus Body Controller Powertrain Controller
  7. 7. Three Eras of Enhanced Safety 7 L3 automated driving market expected to grow significantly by 2025 Source: Strategy Analytics 2018 2017 2019 2021 2023 2025 $19.7 $28.9 $37.9 $46.8 $53.8 Night Vision Driver Monitoring Parking Assist Self Parking Blind Spot Detection Traffic Jam Assist Adaptive Cruise Control Lane Keep Assist Lane Departure Warning 16.7% CAGR (2017-2022) (Dollars in billions) Autonomous Driving Market by Features Adaptive Cruise Control Lane Keep Assist Automated Lane Change Traffic Jam Pilot Self-Park 2010-2016 Advanced Driver Assistance 2016-2025 Partially Automated Safety 2025+ Fully Automated Safety Rearview Video Systems Automatic Emergency Braking Pedestrian Automatic Emergency Braking Rear Automatic Emergency Braking Rear Cross Traffic Alert Lane Centering Assist Highway Autopilot City Autopilot Level 2 Level 3 Level 4&5
  8. 8. Why Centralized Computing for AV? 8
  9. 9. 9 Distributed Systems have a Systematic Problem… Distributed systems have gaps in redundancy and functional safety Functional safety is highest priority Redundancy has to be ensured Algorithm need ground truth references
  10. 10. Electric Vehicles Enable Autonomous Driving High speed on-board network • Ethernet over slow legacy communication Sensors • High data transfer from sensors supporting centralized computing • Enables redundancy and fail-safe functionality Thermal efficiency • Access to battery coolant loop for high power electronics Light weight materials supporting integrated modular design • Enforce ECU reduction as energy management and weight are driving factors 10 EV’s enable a new E/E architecture which supports the growth of centralize computing Global EV Market Volume (20.2% CAGR) Source Strategy Analytics 2018 0.00 5,000.00 10,000.00 15,000.00 20,000.00 25,000.00 30,000.00 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 Vehicles(000) Plug-In Hybrid Mild Hybrid Full Hybrid Fuel Cell Electric Vehicle Battery Electric Vehicle
  11. 11. C-NCAP Requirements enforce Centralized Computation 11 • Current active safety requirements • Electronic stability control (ESC) • Autonomous emergency braking (AEB) at 20-75 km/h with forward and car-to-car collision warnings • AEB for pedestrian at 20-60 km/h • Next C-NCAP update could include • Blind spot monitoring • Lane change warning Data Source: IIHS HLDI October 2017 • Vehicle crash deaths have reduced significantly in past 40 years, but still long way to go • ADAS technology promises to reduce crashes significantly • Forward collision detection with auto braking shows maximum promise Requirements on Minimum Scoring Rate Minimum Scoring Rate for Each Part Active Safety Star Level 2018 2019 2020 5+ ( ) ≥50% ≥55% ≥72% 5 ( ) ≥26% ≥38% ≥55% 4 ( ) ≥26% ≥26% ≥26% 3 ( ) / / / 2 ( ) / / / 1 ( ) / / / Percent Change in Crash Type for ADAS Features
  12. 12. L3 – L5 requires Centralized Computation 12 Scalable centralized computing Key Requirements of Autonomous Driving L3 – L5 Late fusion of sensor data High-performance and safe middleware Open for partner ecosystem and common development System performs 360° environmental monitoring Redundancy and Functional Safety Cloud
  13. 13. Visteon’s Autonomous Driving Platform 13
  14. 14. DriveCore™: Visteon’s Autonomous Driving Platform Failsafe, scalable & modular computing Software middleware abstracts h/w for algorithmsPC-based dev toolchain for 3rd party algorithm & app development From Level 2+ to Level 4 Patented advanced thermal management 14 Perception ActuationPath Planning CNN algorithms RL algorithms Runtime Compute Camera, Radar, Lidar, Ultrasonic In Vehicle System Level 3 Level 4 Level 2 Development Tool Chain Studio Scalable Computing Unit Studio
  15. 15. DriveCore™: L3 Feature Development 15 ACC: Adaptive Cruise Control LKAS: Lane Keeping Assist System ALC: Automated Lane Change LCWS: Lane Change Warning System AEB: Automated Emergency Breaking LDP: Lane Departure Protection EA: Evasive Assist AIF: Automated Indicator Function Automated Parking C-NCAP C-NCAP
  16. 16. DriveCore™ Compute – Scalable Concept Key Advantages: Copyright © Visteon Corporation, 2018 Level 4Level 2+ Level 3 Base Board (Premium) Computation Carrier 1 GPU/ NPU Gateway SoC Gateway SoC Computation Carrier 2 GPU/ NPU ETH Extension Computation Carrier 6 Computation Carrier 3 GPU/ NPU Computation Carrier 4 GPU/ NPU Base Board (Premium) Computation Carrier 1 GPU/ NPU Gateway SoC Gateway SoC Computation Carrier 2 GPU/ NPU Safety Carrier ASIL D Controller ETH Extension ETH Controller Base Board (Entry) Safety Carrier ASIL B/D Controller Computing Carrier GPU/ NPU Safety Carrier ASIL D Controller Computation Carrier 5 GPU/ NPU ECU ASIC Setup GPU/ NPU ETH Controller Modular design with full HW scalability Scalable by using different SoC/VIP Scalable in every direction: performance, safety, ability... Flexible standardized mechanical designs for different car thermal environment Highly dynamical workload and data sharing concept Ultra low latency (us level) for intercore communication among SoCs and VIP(s)
  17. 17. DriveCore™ Studio – Tooling for Algorithm Development 17 Wrap ROS 2.0 New Runtime Data Simulation Configure visualizations Logging & Analysis Real-time profiling Real-time data profiling Compare algorithms
  18. 18. DriveCore™ Runtime – Middleware “Sandboxing” Algorithms Applications Comm Framework Alg . Alg . Alg . Alg . API’s OS Secure HW Alg . OPEN APIs: • Interfaces to sensor data, localization, vehicle data • Common API Framework: • Sandboxing Algorithms • Environment Model • Sensor Agnostic Communication Layer: • Interface Declaration • Cyber secured • Inter process communication (IPC) • Messaging • real time processing • Shared memory Secure communication & sensor network Enhanced for multi-core multi-processor architecturesOptimized with IPC based transport and zero copy interfaces Maximize performance by leveraging native accelerators Time synchronized execution pipeline
  19. 19. --- Video DriveCore™ Studio --- 19
  20. 20. Autonomous Driving Technology Value Chain 20 Tier 0.5 Visteon’s DriveCore™ is a valuable platform in the autonomous value chain Silicon, Sensors and HD Maps System Hardware & Software AI Algorithms & Frameworks Car Manufacturers Cloud & Mobility Services Tier 1 Tier 2 Autonomous Driving Controller Silicon Sensors HD Map OEMs Scalable Computing Hardware & Middleware NOTE: Overview shows examples, overview not complete
  21. 21. --- Video DriveCore™ 21
  22. 22. In Conclusion… 22 Products and technologies for autonomous driving are evolving from distributed to centralized computing Open, scalable, functional safe and secured computing enables freedom for functional and fail safe development EV’s and new SoC technology enable increased speed towards centralized computing
  23. 23. THANK YOU