Understanding Deep Learning - Simon J.D. Prince

Open-source simulator for autonomous driving research.

Source codes of “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems

Python sample codes for robotics algorithms.

An open autonomous driving platform

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

Hybrid A* Path Planner for the KTH Research Concept Vehicle

Simple Eigen-C++ wrapper for OSQP library

Dynamic Vehicular Pose Estimation with Heuristic L-Shape Fitting and Grid-based Particle Filter

Developing particle filter and testing in simulation.

Common used path planning algorithms with animations.

Terrain model generator for Gazebo

C++ API wrapper for displaying shapes and meshes in Rviz

Behavior Trees Library in C++. Batteries included.

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Autoware - the world's leading open-source software project for autonomous driving

Baidu Apollo CyberRT CMake Build

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

Leveraging system development and robot deployment for ground-based autonomous navigation and exploration.

Autonomous driving trajectory planning solution for U-Turn scenario

Implementation of the paper "Safe Trajectory Generation For Complex Urban Environments Using Spatio-temporal Semantic Corridor".

Implementation of Robot Localization Based on Particle Filter(MCL) in ROS

Library for least square fitting Bezier splines

Particle filter-based localization in an occupancy grid map.

Behavior Trees Library for ROS (Robot Operating System). In C++ and python

A particle filter for tracking multiple humans in high-density crowds