舰船电子工程2025，Vol.45Issue(5)：48-51,83,5.DOI:10.3969/j.issn.1672-9730.2025.05.011
一种基于YOLO的多无人机协同目标检测识别方法
A Multi-UAV Cooperative Target Detection and Recognition Method Based on YOLO
摘要
Abstract
Aiming at the problem of multi-UAV cooperative target recognition and detection,based on the deep learning tar-get detection and recognition algorithm YOLO,a multi-UAV circular formation flying around the cooperative target recognition and detection scheme is proposed.The targets identified by multi-UAV detection may be the same target.In this case,the algorithm for determining the number of targets is designed,and then the algorithm for solving target coordinates is designed based on k-means,which realizes the efficient,high-accuracy,high-robust detection and recognition of targets in specific areas by multi-UAVs.The proposed collaborative target detection and identification scheme is realized by building a fixed-wing UAV formation.The results show that the proposed scheme is effective and feasible,the detection accuracy of the number of targets is 99.5%,and the compre-hensive target detection accuracy reaches 98.4%.关键词
YOLO/环形编队/目标个数/目标坐标/k-meansKey words
YOLO/circular formation/number of targets/target coordinates/k-means分类
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吴修振,张建秀,闫实,祁亚辉..一种基于YOLO的多无人机协同目标检测识别方法[J].舰船电子工程,2025,45(5):48-51,83,5.
