Common used path planning algorithms with animations.

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

A minimalist environment for decision-making in autonomous driving

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

L5Kit - https://woven.toyota

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in…

Code for "Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans" https://arxiv.org/abs/2001.00735

speed planning by quadratic programming

Official implementation of "Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations"

End to End Steering Angle Prediction for Self-Driving Cars

Social LSTM implementation in PyTorch

A easy HMM program written with Python, including the full codes of training, prediction and decoding.