Open source hardware and software platform to build a small scale self driving car.

Unofficial implemention of lanenet model for real time lane detection

基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.

A deep neural network that learns to drive in video games

Advanced lane detection using computer vision

Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

A simple self-driving car module for humans 🚘 🛣️

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页：http://111.229.117.200:8100/ (作者独立搭建)

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

PyTorch Implementation of PIXOR