autonomous-vehiclesAutonomous Vehicles

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Author: Angelos Lakrintis
Co Author: Mark Fitzgerald
Publication Date: Aug 20 2019
Pages: 72
Report Type: Report, Word
Autonomous Vehicles

Central Controllers for ADAS and Autonomous Driving Applications

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Report Summary:

As vehicles adopt more ADAS and autonomous driving features, the number of electronic control units, sensors and wiring required also increases.  Using current vehicle architectures, this will lead to unsustainable levels of complexity, weight and cost to OEMs.  New vehicle architectures, involving centralized topologies, consolidating domain control modules and high bandwidth data “backbones” will be necessary in order to develop future more complicated electronic systems that will support ADAS and autonomous driving solutions.
Table of Contents

  1. Executive Summary
    1. Abbreviations in this Report
  2. Automotive System Platforms for ADAS and Autonomous Driving systems
    1. Moving into a centralized architecture for ADAS and Autonomous Driving systems
      1. ISO 26262, SOTIF and AUTOSAR Domain Controller Standards
      2. ISO 26262
      3. ISO / PAS 211448 or Safety of the Intended Functionality Scenario Identification (SOTIF)
    2. AUTOSAR Standard
    3. V-Model of Automotive ADAS Development
  3. High-Bandwidth In-Vehicle Connectivity
    1. LVDS/SerDes
      1. Automotive SerDes Alliance
    2. HDBaseT Automotive
    3. MIPI Alliance
    4. Ethernet
      1. 10BASET1S
      2. 100Base-T1
      3. 1000Base-T1
      4. 2.5/5/10GBASE-T1
      5. Ethernet Time Sensitive Networks (TSN)
  4. Memory in ADAS Domain Controllers
  5. ADAS and Autonomous Driving Platforms
    1. Aptiv
      1. Aptiv’s Satellite Architecture
      2. From ADAS to Autonomous Driving under One Architecture
      3. Bridging ADAS to Automated Driving
      4. Aptiv’s Satellite Architecture Key Implementations and Partnerships
    2. Baidu Apollo Auto
      1. Apollo Platform Version 5.0
      2. The Apollo Sensor Unit (ASU)
      3. The Apollo Extension Unit (AXU)
      4. Apollo Partners
    3. Bosch
      1. Driver Assistance System Domain Controller (DASy)
      2. Bosch/ NVIDIA AI Car Computer
    4. Continental
      1. Continental’s Assisted & Automated Driving Control Unit – ADCU
      2. Continental’s Safety Domain Control Unit – SDCU
    5. HARMAN
      1. Surround View Sensor Intelligence
      2. Cabin Monitoring System
    6. Hitachi Automotive Systems
      1. Hitachi’s Key Technologies for Autonomous Driving
      2. Sensing Enhancements and AI
      3. Hitachi Ultra LSI
      4. Vehicle Trials and Previous Work
    7. Magna
      1. Magna MAX4
      2. Magna’s Partnerships and Acquisitions
    8. Mentor
      1. Mentor DRS360 Autonomous Driving Platform
    9. Tesla
      1. Tesla’s Hardware Strategy for Autonomous Driving
    10. TTTech
      1. TTTech’s Centralized ADAS Domain Controller Architecture Overview
      2. TTTech AthosMotion ADAS ECU
      3. TTTech RazorMotion ADAS ECU
    11. Veoneer
      1. Veoneer’s Zeus Supercomputer
    12. Visteon
      1. DriveCore Open Autonomous Driving Platform
      2. Visteon’s DriveCore Platform Timeline
    13. ZF Friedrichshafen AG
      1. ZF ProAI 2.0
  6. Enabling Processing Devices for AI and Neural Network Frameworks
      1. aiWare and Automotive IP and Standards
      2. aiWare SDK Enabling a Wide Range of NN Frameworks
    2. Ambarella
      1. Ambarella’s Family of Vision Processors
    3. Analog Devices
      1. Solutions from Analog Devices
    4. Cadence
      1. Tensilica DSP
      2. Xtensa Neural Network Compiler
      3. OpenCV and OpenVX Library Support
    5. CEVA
      1. CEVA’s Vision and Imaging Platform
      2. CEVA’s NeuPro Specialised A.I. Chip
      3. CEVA-XM6
    6. Horizon Robotics
    7. Infineon
      1. Infineon AURIX Family
      2. Infineon’s Partnerships for Autonomous Driving Solutions
    8. Intel
      1. Intel – Mobileye
      2. Intel GO
    9. Kalray
    10. NVIDIA
      1. NVIDIA’s Family of Autonomous Vehicles/ ADAS Processors
      2. NVIDIA DRIVE as an End-to-End Platform for Deep Learning
      3. NVIDIA’s Partnerships with Major Automotive Players
    11. NXP
      1. NXP BlueBox: Platform for Autonomous Driving Development
    12. Qualcomm
      1. Qualcomm Snapdragon Neural Processing Unit (NPU)
      2. Qualcomm’s Neural Processing SDK
      3. Qualcomm Snapdragon 820A
    13. Renesas
      1. Renesas R-Car H3
      2. Renesas RH850/F1x
    14. Samsung
      1. Samsung DRVLINE
    15. Xilinx
      1. Xilinx reVISION Stack
      2. Xilinx Zynq UltraScale+
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