Self-driving car

무인자동차(無人自動車), 영어: autonomous car, driverless car, self-driving car, robotic car) 또는 자율주행차는 인간의 운전없이 자동으로 주행할 수 있는 자동차이다. 무인자동차는 레이다, LIDAR(light detection and ranging), GPS, 카메라로 주위의 환경을 인식하여 목적지를 지정하는 것만으로 자율적으로 주행한다. 이미 실용화되고 있는 무인자동차로는 이스라엘 군에서 운용되는 미리 설정된 경로를 순찰하는 무인 차량과 국외 광산이나 건설 현장 등에서 운용되고 있는 덤프 트럭 등의 무인 운행 시스템 등이 있다.

Documentation

Autonomous Driving (feat. Deep Learning) - 자율주행 기술 스택 소개 및 국내 기업 동향 - Yong Y. Lee

DevFest판교_AutonomousDriving(feat.DeepLearning)_이용이_191115.pdf

Self-Driving Car Steering Angle Prediction Based on Image Recognition

http://cs231n.stanford.edu/reports/2017/pdfs/626.pdf

Optimizing NVIDIA TensorRT Conversion for Real-time Inference on Autonomous Vehicles

https://devblogs.nvidia.com/optimizing-nvidia-tensorrt-conversion-for-real-time-inference-on-autonomous-vehicles/

Openpilot, its model and driving in GTA

https://littlemountainman.github.io/2020/05/12/openpilot/

Projects

• AirSim (microsoft)
• MonoCD - https://github.com/dragonfly606/MonoCD - Monocular 3D Object Detection with Complementary Depths - 차량의 Depth 추론

See also

• Deep learning
• SLAM
• Optical Flow
• 차량 번호판 인식 (License Plate Recognition)
• 차량 카운팅 (Car Counting) Vehicle Counting
• 레인 검출 (Lane Detection)
• Openpilot

Favorite site

• Wikipedia (en) Self-driving car

Vehicle speed

• Predicting vehicle speed from dash cam video
• Github - speed - Learning To Predict Vehicle Speed From A Video
• Github - deeps - Predicting speed of cars using optical flow analysis and Convolutional neural networks

Vehicle detection

• Github - Vehicle Detection for Autonomous Driving

Tutorial: How to Bake a Self-Driving Car

• [추천] How to Bake a Self-Driving Car
  • Repositories of How to Bake a Self-Driving Car
  • Project #4: Road Scene Semantic Segmentation with Dilated ResNets
  • Project #3: Advanced Lane Detection
  • Project #2: Traffic Sign Recognition with CNNs and Keras
  • Project #1: Lane Detection with OpenCV