A Multi-UAV Cooperative Target Detection and Recognition Method Based on YOLO
WU Xiuzhen
ZHANG Jianxiu
YAN Shi
QI Yahui
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%.
Keywords：YOLOcircular formationnumber of targetstarget coordinatesk-means
Publication Date：2025-05-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 48-51,83 )