This is my implementation of a complete 2D navigation package, including global planner, local planner, and motion controller.
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Updated
Mar 7, 2022 - C++
This is my implementation of a complete 2D navigation package, including global planner, local planner, and motion controller.
This repository contains my Implementation of hybrid A star for a vehicle with Ackerman steering to perform complex parking maneuvers in tight parking spaces
Implementation of an Anti-Jackknife Controller to Enhance Motion Planning for Truck-Trailers
泊⻋路径规划是指从⾃⻋位置规划出⼀条到达满⾜⻋位姿态的⽆碰撞路径。⽬前泊⻋路径规划在⼯业 界已有实现应⽤,但在狭窄拥挤的空间下能够成功规划并降低耗时依然是⼀个挑战。
Given a graph, A* finds the optimal path, if it exists, joining the start node to the goal node. Hybrid A* takes vehicle dynamics into consideration and generates a smoother path which the vehicle can follow. Both the implementations are optimized using dictionaries & heaps
A Hybrid-A* planner with early stopping for efficient path planning and extended motion primitives to account for the motion capabilities of the U-Shift II vehicle. Author: Oliver Schumann
We use hybrid a star and optimization-based method for trajectory planning of the autonomous vehicle parking
Hybrid A* Motion Planner for a Car using kinematic & Reeds-Shepp Model
路径规划算法,A*,A-star启发搜索,Hybrid-A*,混合A*算法,Dijkstra迪杰斯特拉算法,GBFS贪婪最佳优先搜索算法,DFS深度优先搜索,BFS广度优先搜索算法等,车辆路径规划算法,小黑子路径规划
Path planning using Hybrid A*/RRT + Dubins Path (as final shot).
Motion planning algorithm implementation
Autonomous driving trajectory planning solution for U-Turn scenario
Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.
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