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apollo

An open autonomous driving platform

apollo-code-with-node

Apollo的planning部分详细注释

apollo-note

Note for Apollo 3.0 perception, prediction and planning modules

autodriving-planning-control-algorithm-simulation-carla

AutoDriving-Planning-Control-Algorithm-Simulation-Carla

automated-driving-control

automatic-driving-decision-and-planning-for-matlab

autonomous-parallel-parking-car-like-robot-gazebo-ros

Autonomous Parallel Parking of a car like robot using Gazebo simulation environment

autonomous_driving_mpc

Model Predictive Controller for Autonomous Driving implemented using ROS and C++

autoware

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

autoware_ai_planning

autowareauto

avoid_demo_hybrid-a

car_geometric_planner

Use Reeds-Shepp and Dubin curves for path generation for car model

carla_ilqr_mpc

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

carla_navigation

carla_ros_bridge_pnc

通过carla-ros-bridge在carla上实现自动驾驶planning and control。

carla_trajectory_controller

carnd-mpc-project

CarND Term 2 Model Predictive Control (MPC) Project

cartesianplanner

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

casperauto

cell

cplusplus_tutorial_youtube_savvynik

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

driving-planning

结构化道路的路径规划算法 简化版的emplanner

dust

An autonomous vehicle software's frame used by beihang university.

dynamicvoronoi_with_annotations

comment and understand for Dynamic Voronoi Graph generation and updating method

epsilon

eudm_planner

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

fiss_planner

[RA-L 2022] FISS: A Trajectory Planning Framework using Fast Iterative Search and Sampling Strategy for Autonomous Driving