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ackermann-drive-teleop

ROS keyboard and joystick teleoperation scripts for robots with ackermann steering

ackermansteer

A Gazebo / ROS plugin Implementing Ackermann steering on a 4 wheel robot

apollo-3.0.0

apollo-em-planner-note

Note for Apollo 3.0 perception, prediction and planning modules

autopnp

awesome-autonomous-vehicle

无人驾驶的资源列表中文版

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

behaviortree.cpp

Behavior Trees Library in C++. Batteries included.

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartographer_ros

Provides ROS integration for Cartographer.

clean-robot-turtlebot3

Autonomous Clean robot. Full coverage path planner and exploration.

cloudcompare

CloudCompare main repository

cpp-concurrency

Source code for https://paul.pub/cpp-concurrency

create-your-own-adventure

This is example repo illustrates the concept of a "Pull Request", created as part of the course How to Use Git and GitHub

dash

Real-time motion planner and autonomous vehicle simulator in the browser, built with WebGL and Three.js.

deep-learning-with-python-cn

Deep Learning with Python 中文翻译

deepplanningparking

YIPSO, A Novel Autonomous Parking System

despot

The DESPOT online POMDP solver

di-drive

OpenDILab Auto-driving platform

dig-into-apollo

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

eudm_planner

Implementation of the paper "Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching".

fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

gpir

[ICRA'22] Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement

introrl

Intro to Reinforcement Learning (强化学习纲要）

lanelet2_test

leedeeprl-notes

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

matrix_derivatives

This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.

model-predictive-control

This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.

motionplanningcommonused

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

mrpt

:zap: The Mobile Robot Programming Toolkit (MRPT)