Self-Driving Cars

1. Introduction to Self-Driving Cars

Carnegie Mellon U 1989, CMU Vehicle (Computer, 孔祥重, H T Kung)

comma.ai openpilot 2018, MIT Interview

Tesla Autopilot 2019, MIT Interview, DeepScale (Talk)

Self-Driving Car, Autonomous Car

2. Hardware and Software in Self-Driving Cars

Apollo: Software Architecture, Hardware System, Technical Tutorial

comma: GitHub Software, openpilot

3. comma Projects

comma2k19 (Data): camera, GPS, IMU, GNSS, CAN, 100GB, Paper

Machine Learning Code

Steering Angle Model: CNN, Paper (Code)

Drive Simulator: Gen. Video to Train Steer: Autoencode, GAN, RNN, Predict, Paper

Laika: Position/Velocity Estimation, Localization

openpilot-tools: Replay Driving Data, Debug Car Controls, CAN Data to EON, EON Data to PC

openpilot: Driver Assistance System, Adaptive Cruise Control (ACC), Lane Keeping Assist System (LKAS)

4. Planning Algorithms for Autonomous Driving

A Simple Lane Detection: Code, Part 1, Part 2, Part 3. OpenCV: Hough Transform, Capture Video

Lane Detection 1, Lane Detection 2

Localization

Lane Detection and Object Detection

5. Machine Learning Algorithms for Autonomous Driving

Environment Perception

Pedestrian Detection

Traffic Sign Detection

Traffic Light Detection, Traffic Light Classification

Projects: NVIDIA, M Deutsch, RAIL (Poster, Paper)

6. Control Algorithms for Autonomous Driving

Longitudinal and Lateral Control Design

7. Data

Berkeley: GitHub, Paper

ApolloScape: GitHub, Paper1, Paper2

Argoverse: GitHub, Paper

Udacity: Dataset