Python sample codes for robotics algorithms.

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

L5Kit - https://woven.toyota

CVPR2023-Occupancy-Prediction-Challenge

[ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

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)

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

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

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

Argoverse 2: Next generation datasets for self-driving perception and forecasting.

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

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

Implementation of the real-time MPC based on iLQR in Carla simulator

Python API for BeamNG.tech