Top 143 autonomous-driving open source projects

LiDAR fog simulation

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

An implementation of AVP-SLAM and some new contributions

ML Dataset Governance Policy for Autonomous Vehicle Datasets

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Gym environments and agents for autonomous driving.

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

Motion Planner for Self Driving Cars

4th place solution in Baidu Autonomous Driving Lane Segmentation

A tentacle-based pathfinding library for nonholonomic robotic vehicles

使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Self Driving Cars Longitudinal and Lateral Control Design

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

Software for LOCO, our autonomous drifting RC car.

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.