Author: Angelos Lakrintis


Publication Date: 11月 13 2018


Pages: 61


Report Type: Report, Word



 无人驾驶

Neural Networks in the Autonomous Vehicle Space




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Report Summary:

There has been significant progress in using algorithmic Neural Network techniques in the area of Machine Learning and Artificial Intelligence (A.I.) for Autonomous Driving over the course of the last decade. However, challenges still remain in exceptional or complex situations. Could new A.I. techniques help resolve these challenges?

Table of Contents

  1. Executive Summary
  2. What is a Neural Network?
    1. Neural Networks in the ISO 26262 and SOTIF Standards
    2. Abbreviations Used in this Report
  3. Deep Neural Network Frameworks
    1. Caffe
    2. Keras
    3. Microsoft Cognitive Toolkit (CNTK)
    4. Neon (Acquired by Intel)
    5. TensorFlow
    6. Theano
    7. Torch
  4. Datasets for Autonomous Driving Training
    1. Baidu’s ApolloScape Dataset
    2. Berkley Deep Drive Dataset
    3. Cityscapes Dataset
    4. Comma.ai Driving Dataset for Highway Driving
    5. Ford Vision and LiDAR Dataset
    6. highD (Highway Drone)
    7. Hive AI
    8. KITTI Dataset
    9. Mapillary
    10. Mighty AI
    11. nuScenes Database
    12. Oxford’s Robotic Car Dataset
    13. TuSimple Dataset
  5. Deep Learning Inference & Training
    1. AIMOTIVE
      1. aiWare
      2. aiWare SDK
    2. Algolux
      1. Algolux’s CANA Architecture
      2. Algolux Partnerships
    3. CEVA
      1. CEVA’s Vision and Imaging Platform
      2. CEVA’s NeuPro Specialised A.I. Chip
    4. NVIDIA
      1. NVIDIA’s Family of Autonomous Vehicles/ ADAS Processors
      2. NVIDIA Tegra K1 SoC
      3. NVIDIA Drive PX Platform
      4. NVIDIA Tegra X1 SoC
      5. NVIDIA Parker SoC
      6. NVIDIA Pegasus Platform
      7. NVIDIA Xavier SoC
      8. NVIDIA DRIVE as an End-to-End Platform for Deep Learning
      9. NVIDIA’s Partnerships with Major Automotive Players
  6. Deep Reinforcement Learning
    1. Prowler IO
      1. Prowler’s VUKU Platform
    2. Wayve AI
      1. Wayve AI’s Vehicle Platform
      2. Wayve Reinforcement Learning Algorithm
  7. Unsupervised Learning
    1. Cortica
      1. How Cortica’s Unsupervised Learning Platform Works
  8. Convolutional Neural Networks (CNN)
    1. The Design of a Convolutional Neural Network
    2. CalmCar Vision Systems
      1. CalmCar Vehicle Vision
    3. Cruise Automation/General Motors
    4. Intel
      1. Intel – Mobileye
      2. Movidius Fathom - Neural Networks on a USB stick
    5. Momenta
    6. Qualcomm
      1. Qualcomm’s Neural Processing SDK
    7. Tesla Autopilot Vision
      1. Version 9 of the Autopilot Convolutional Neural Network
    8. Xilinx
      1. Xilinx Partnerships
  9. How Can We Help You?

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