Path planner for UAVs navigation based on A* algorithm incorporating intersection

Q. Feng, Jiasheng Gao, Xiujian Deng
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引用次数: 5

Abstract

A combination process of A* algorithm incorporating intersection is utilized to design a path planner for unmanned aerial vehicles (UAVs) autonomous navigation. The evaluation index of candidate path points is introduced in this method. It increases the consistency of the target direction and the search direction, and ensures the path towards the direction of the target point. In order to improve the security of the planned path, a path allocation method is designed. Under the same environment of simulation, the efficiency for the UAV path planning of this method is greater compared with the mixed algorithm of Dijkstra and Dijkstra-PSO.
基于交叉口A*算法的无人机导航路径规划
利用A*算法结合交叉口的组合过程,设计了无人机自主导航路径规划器。该方法引入候选路径点的评价指标。增加了目标方向与搜索方向的一致性,保证了路径朝向目标点的方向。为了提高规划路径的安全性,设计了一种路径分配方法。在相同的仿真环境下,与Dijkstra和Dijkstra- pso混合算法相比,该方法的无人机路径规划效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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