This repository contains my Implementation of hybrid A star for a vehicle with Ackerman steering to perform complex parking maneuvers in tight parking spaces
-
Updated
Mar 23, 2023 - Python
This repository contains my Implementation of hybrid A star for a vehicle with Ackerman steering to perform complex parking maneuvers in tight parking spaces
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
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
Add a description, image, and links to the hybrid-a-star topic page so that developers can more easily learn about it.
To associate your repository with the hybrid-a-star topic, visit your repo's landing page and select "manage topics."