微型电脑应用2025，Vol.41Issue(4)：233-235,252,4.
基于布谷鸟搜索算法的无人机精细化自主巡检航迹优化
Fine Autonomous Inspection Trajectory Optimization of UAV Based on Cuckoo Search Algorithm
蒋海彤 1杨慧乔1
作者信息
- 1. 国网思极位置服务有限公司,北京 102211
- 折叠
摘要
Abstract
Usually,the terrain of the UAV inspection area is complex,with many obstacles and irregular layout,which may lead to multiple repeated coverage of the same area during the inspection trajectory planning process,increasing the length of the inspection path.In order to comprehensively improve the efficiency of UAV fine autonomous inspection,a trajectory opti-mization method for UAV fine autonomous inspection based on the cuckoo search algorithm is proposed.This paper uses corre-lation filtering algorithm to determine the initial position of the target,and incorporates mean shift algorithm to complete multi-scale estimation.Cuckoo search algorithm is introduced to carry out optimization processing,calculate the fitness of each in-spection trajectory node position,and finally obtain the U AV fine autonomous inspection trajectory optimization scheme.The experimental results proves that the proposed method obtains a shorter autonomous inspection trajectory for UAV,which can accurately achieve fine autonomous inspection of all inspection targets and meet the UAV inspection requirements.关键词
布谷鸟搜索算法/无人机巡检/自主巡检/航迹优化Key words
cuckoo search algorithm/UAV inspection/autonomous inspection/trajectory optimization分类
计算机与自动化引用本文复制引用
蒋海彤,杨慧乔..基于布谷鸟搜索算法的无人机精细化自主巡检航迹优化[J].微型电脑应用,2025,41(4):233-235,252,4.
