autonomous-vehicles无人驾驶

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Author: Kevin Mak
Publication Date: 5月 21 2018
Pages: 67
 Report Type: Report, Word

相关的数据可视化界面

无人驾驶

Increasing Electronic Content and Autonomous Vehicles are Driving New Approaches to Vehicle Architectures



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Report Summary:

As more electronic features enter new vehicles, the number of electronic control units, sensors and wiring required also increases.  Through existing vehicle architectures, this will lead to unsustainable levels of complexity, weight and cost to OEMs.  OEMs have realized that new vehicle architectures, involving centralized topologies, consolidating domain control modules and high bandwidth “backbones” will be necessary in order to develop future more complicated electronic systems, such as autonomous driving.
Table of Contents

  1. Executive Summary
  2. Introduction
  3. Centralization Trend
    1. Reasons for Centralization
      1. Reduce Complexity
      2. Reduce Cabling Requirements
      3. Reduce Cost
      4. Reduce Power Consumption
      5. Enable Scalability
      6. Sensor Fusion Demand
      7. Software Updates
    2. Technology Enablers for Centralization
      1. Open Source Software Protocols
      2. High Performance Processing
      3. High Bandwidth Networking
      4. Memory Deployment
      5. Maturity
      6. Electrified Powertrains
  4. Limiting Factors to Centralization
    1. Lack of Investment and Scale
    2. Mass Market OEMs
    3. Software Capability
    4. Domain Structure
    5. Safety Critical Applications
    6. Shortcomings in Networking
    7. Power Budget
    8. Lack of Standardization
  5. Deployments of Domain Controllers
    1. Near-Term Deployments
    2. Delays in the Mass Market and Japanese Auto Makers
    3. Future Demand Trend
    4. Location-Based Architecture
  6. Supply Chain Developments
    1. Hierarchical Processing Layers
    2. Tier 1 Vendors
    3. Software Vendors
    4. Semiconductor Vendors
      1. Mix of Processing Devices
      2. MCU Demand
  7. Gateway Control Module Forecast
  8. Domain Controller Solutions
    1. Aptiv (Delphi) Multi-Domain Controller (MDC)
    2. Audi MIB2+
    3. Audi zFAS
    4. Baidu Apollo
    5. Bosch AI Car Computer
    6. Continental Autonomous Domain Control (ADC)
    7. Continental Vehicle Control Unit
    8. Hitachi Ultra LSI
    9. Magna MAX4
    10. Mentor DRS360
    11. NXP BlueBox
    12. NXP GreenBox
    13. NVIDIA Drive PX
    14. NVIDIA Pegasus
    15. Panasonic SPYDR
    16. Samsung DRVLINE
    17. Visteon DriveCore Autonomous Driving Domain Controller
    18. Visteon SmartCore Cockpit Domain Controller
    19. ZF SDE (Safety Domain ECU)
    20. ZF ProAI
  9. Enabling Processing Devices
    1. Altera Cyclone V
    2. Ambarella CV2
    3. CEVA-XM6
    4. Infineon AURIX TC3xx
    5. Intel GO
    6. Mobileye EyeQ5
    7. NVIDIA Parker
    8. NVIDA Tegra 30
    9. NVIDIA Tegra K1
    10. NVIDIA Tegra X1
    11. NVIDIA Xavier
    12. NXP i.MX8
    13. NXP Qorivva MPC5748G
    14. Qualcomm Snapdragon 820A
    15. Renesas R-Car H3
    16. Renesas RH850/F1x
    17. Samsung ExynosAuto
    18. Xilinx Zynq UltraScale+
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