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Three-dimensional path planning of UAV based on an improved A* algorithm*

机译:基于改进的A *算法的无人机三维路径规划*

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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.
机译:当前的二维路径规划技术适用于在相对结构化的环境中运行的半自动无人机(UAV)。然而,对于复杂的不确定环境中的无人机,目前的技术是不够的。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的A *算法的无人机三维路径规划算法。首先,我们尝试将传统A *算法的搜索空间扩展到三维。然后,使启发式算法适用于各种约束条件的无人机。最后,在仿真实验中,从准确性,安全性和适应性两方面验证了改进的A *算法的有效性。

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