Pinned Repositories
ASAP
Asynchronous Spatial Allocation Protocol for Heterogeneous Multi-Agent Trajectory Planning
Automatic-Parking
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
autonomous_driving_mpc
Model Predictive Controller for Autonomous Driving implemented using ROS and C++
autoware_ai_planning
Awesome-Traffic-Agent-Trajectory-Prediction
This is a list of papers related to traffic agent trajectory prediction.
aws-robomaker-small-warehouse-world
This Gazebo world is well suited for organizations who are building and testing robot applications for warehouse and logistics use cases.
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
chhRobotics_CPP
自动驾驶规划控制常用算法c++代码实现
CL-CBS
An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
path_planner
Hybrid A* Path Planner for the KTH Research Concept Vehicle
Dwight-kyle's Repositories
Dwight-kyle/path_planner
Hybrid A* Path Planner for the KTH Research Concept Vehicle
Dwight-kyle/ASAP
Asynchronous Spatial Allocation Protocol for Heterogeneous Multi-Agent Trajectory Planning
Dwight-kyle/Automatic-Parking
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
Dwight-kyle/autoware_ai_planning
Dwight-kyle/Awesome-Traffic-Agent-Trajectory-Prediction
This is a list of papers related to traffic agent trajectory prediction.
Dwight-kyle/aws-robomaker-small-warehouse-world
This Gazebo world is well suited for organizations who are building and testing robot applications for warehouse and logistics use cases.
Dwight-kyle/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
Dwight-kyle/chhRobotics_CPP
自动驾驶规划控制常用算法c++代码实现
Dwight-kyle/CL-CBS
An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
Dwight-kyle/cmake-examples-Chinese
快速入门CMake,通过例程学习语法。在线阅读地址:https://sfumecjf.github.io/cmake-examples-Chinese/
Dwight-kyle/Differential-Drive-Robot
Path planning and control algorithms for a differential drive robot using ROS2
Dwight-kyle/Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
Dwight-kyle/Hybrid_A_Star
Hybrid A Star algorithm C++ implementation
Dwight-kyle/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Dwight-kyle/MPC-Application-in-Trajectory-Tracking
Dwight-kyle/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Dwight-kyle/LeetCode-Book
《剑指 Offer》 Python, Java, C++ 解题代码,LeetBook《图解算法数据结构》配套代码仓
Dwight-kyle/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Dwight-kyle/leetcode_101
LeetCode 101:和你一起你轻松刷题(C++)
Dwight-kyle/multi_robot_traj_planner
An Efficient Multi-Robot Trajectory Planner for Ground Vehicles.
Dwight-kyle/navigation
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
Dwight-kyle/navigation2_tutorials
Tutorial code referenced in https://docs.nav2.org/
Dwight-kyle/PathPlanning
Common used path planning algorithms with animations.
Dwight-kyle/PythonRobotics
Python sample codes for robotics algorithms.
Dwight-kyle/robust_mpc_obstacle_avoidance
Robust model predictive control for path tracking with obstacle avoidance
Dwight-kyle/ros_motion_planning
Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.
Dwight-kyle/test
Dwight-kyle/Typora-0.11.18
The last free version of Typora.
Dwight-kyle/wpr_simulation
ros 入门操作
Dwight-kyle/xju-robot
xju robot project for algorithm teaching.