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autopilot-notes

自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。如有合作意向，请联系 [email protected]

av-nash-q-learning

Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making

awesome-driving-behavior-prediction

A collection of research papers for Driving Behavior Prediction

behaviormetrics

Autonomous driving neural network comparison tool

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

birds-eye-view-perception

[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

curvesgenerator

Common used curves for motion planning.

deep-qlearning-agent-for-traffic-signal-control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

driver-dojo

A benchmark towards generalizable reinforcement learning for autonomous driving.

driving-irl-ngsim

[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

end-to-end-autonomous-driving

All you need for End-to-end Autonomous Driving

gameformer

[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning

gameformer-planner

[ICCV 2023 & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles

intersectioncontrol

An environment-agnostic framework for comparing intersection control algorithms

jaxmarl

Multi-Agent Reinforcement Learning with JAX

llama

Inference code for LLaMA models

lstm-for-trajectory-prediction

LSTM based Vehicle Trajectory Prediction

motionplanning

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

mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

multi-agent-rl-traffic-light-control

Decentralized reinforcement learning for city-scale traffic light control

multi_agent_intersection

occnet

[ICCV 2023] OccNet: Scene as Occupancy

occnet-course

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) 课程主页：http://111.229.117.200:7001/

occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

opencda

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

pathplanning

Common used path planning algorithms with animations.

pip-planning-informed-prediction

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

predictive-decision

[ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model

pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

smarts

Scalable Multi-Agent RL Training School for Autonomous Driving