算法
明星(博弈论)
A*搜索算法
路径(计算)
运动规划
计算机科学
适应性
方案(数学)
快速通道
人工智能
数学
机器人
生态学
生物
数学分析
程序设计语言
作者
Qiang Zhou,Guangcai Liu
标识
DOI:10.1109/icus55513.2022.9986703
摘要
In order for UAVs to perform tasks safely and efficiently, path planning for UAVs is required. The A-star algorithm can calculate the optimal path, but it needs to rasterize the map in advance and run for a long time. When the map changes, the A-star algorithm cannot quickly obtain a new path. This work proposes a UAV path planning system using the combination of the A-star algorithm and the RRT-star algorithm, which provides the optimal path for the UAV and can generate a temporary path in time when the pre-planned path cannot be used. This scheme can improve the adaptability of UAV in UAM scene.
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