autonomous-vehicles无人驾驶

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Author: Angelos Lakrintis
Publication Date: 9月 17 2018
Pages: 40
 Report Type: Report, Word

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无人驾驶

2018: The Year of the Simulation for Autonomous Vehicles



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Report Summary:

The popularity of autonomous vehicle testing and validation has increased in recent years. OEMs and other companies are using these types of simulators in order to recreate autonomous driving environments and scenarios without the use of real world driving, with the aim of speeding-up the safe introduction of highly automated vehicles.  This report analyses many of the different simulator platforms that are now available.
Table of Contents

  1. Executive Summary
    1. Autonomous Driving Simulator Comparison
  2. What is an Autonomous Vehicle Simulator?
    1. Automotive ISO 26262 on Simulation and Verification
    2. Abbreviations in this Report
  3. Data Collection and Operation Optimization
    1. Alphabet/ Waymo
    2. Baidu Apollo Simulator
      1. Apollo Simulation
    3. NVIDIA DRIVE Constellation
  4. Dataset Variety and Environment Complexity
    1. AIMotive
      1. aiSim
    2. Cognata
      1. The Three Layers of Deep Learning Algorithms
      2. Cognata Partnerships and Funding from OEMs
    3. Microsoft/ AirSim
    4. Next Limit
      1. Anyverse Simulator
      2. Anyverse Graphics Engine
      3. Anyverse Datasets and Ground Truth
    5. Truevision AI
  5. Multiple Raw Data and Sensor Accuracy
    1. CARLA (CAR Learning to Act)
      1. The Graphics Engine behind CARLA
      2. Sensors Support
      3. Autonomous Driving Techniques with CARLA
      4. CARLA Partnerships and Funding from OEMs
    2. CVEDIA
      1. SynCity Simulator
    3. Deepdrive 2.0
      1. The Graphics Engine behind Deepdrive 2.0
      2. Sensors Support
      3. Funding and Future Prospects
    4. Metamoto
      1. Multi-Sensor Simulation Support
      2. Simulation-as-a-Service Scheme
      3. Metamoto Funding’s and Partnerships
    5. rFpro
      1. Sensor Support
      2. Autonomous Driving Algorithms and Model Integration
      3. rFpro Partnerships
    6. RightHook
      1. Supported Sensors
      2. Software-in-the-Loop (SIL) Simulation using a DrivePX2
      3. RightWorldHD for Level 4 Autonomous Driving
  6. Open-Source Simulators for Autonomous Driving Development
    1. V-REP
    2. Webots
      1. Sensor Support
    3. ROS and Gazebo
    4. TORCS
    5. Udacity’s Driving Simulator
      1. Udacity Simulator and Behavioural Cloning
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