基于改进A*算法的无人机三维路径规划

Tianzhu Ren, Zhou Rui, Xia Jie, Zhuoning Dong
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引用次数: 15

摘要

目前的二维路径规划技术对于在相对结构化的环境中运行的半自主无人机(UAV)来说是足够的。然而,对于处于复杂不确定环境中的无人机,现有的技术是不够的。为了解决复杂环境下无人机的路径规划问题,提出了一种基于改进A*算法的无人机三维路径规划算法。首先,我们尝试将传统的A*算法的搜索空间扩展到三维空间。在此基础上,提出了适用于具有多种约束条件的无人机的启发式算法。最后,通过仿真实验验证了改进的A*算法在准确性、安全性和适应性方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three-dimensional path planning of UAV based on an improved A* algorithm*
The current two-dimension path planning technologies are adequate for semi-autonomous Unmanned Aerial Vehicles (UAV) that operate in a relatively structured environment. However, for UAVs in a complicated uncertain environment the present techniques are inadequate. A three-dimensional (3D) path planning algorithm of UAV which based on improved A* algorithm is proposed in this paper in order to solve problem of path planning for UAV in complex environment. First, we attempt to extend the search space of traditional A* algorithm to three-dimension. Then we make the heuristic algorithm suitable for UAV with various constraints. Finally, in simulation experiments, the effectiveness of improved A* algorithm is verified concerning the accurateness, safety and the adaptability.
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