基于Voronoi图的复杂动态环境下移动车辆无碰撞A*算法

S. Ho, Jingchuan Lin, Kuan-Yu Chou, Yon-Ping Chen
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引用次数: 0

摘要

路径规划是机器人开发设计的研究热点。随着技术的进步,各种工作的移动车辆在不同的环境中使用。因此,规划一条既能避开障碍物,又能考虑时间和距离到达目标的最优路径是一项重要的研究。为了提高移动车辆路径规划的效率,本文采用Voronoi图来描述地图,并采用Dijkstra算法构建最短路径树。当移动障碍物接近移动车辆时,启动路径重新规划任务。无碰撞A*算法考虑了移动障碍物的方向和位置,可以有效地避免碰撞,并根据最短路径树找到最优路径。在仿真结果中,地图中存在多个随机移动的障碍物来模拟复杂的动态环境。移动车辆可以在没有碰撞的情况下到达目标,并且只增加了少量的时间和距离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voronoi Diagram based Collision-free A* Algorithm for Mobile Vehicle in Complex Dynamic Environment
Path planning is the research focus of robot development and design. As technology advances, mobile vehicles for various jobs are used in different environment. Therefore, it is an important research to plan an optimal path that is able to avoid obstacles and consider time and distance to reach the goal. In this paper, to improve the efficiency of mobile vehicle path planning, the Voronoi diagram is used to describe the map, and the shortest path tree is built by Dijkstra algorithm. Re-planning path task is activated when moving obstacles approach the mobile vehicle. The collision-free A* algorithm that take account of the directions and positions of the moving obstacles will effectively avoid collisions and find optimal path according to the shortest path tree. In the simulation results, there are several random moving obstacles in the map to simulate the complex dynamic environment. The mobile vehicle could reach the goal without any collisions, and only add a small amount of time and distance.
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