首页> Scientific reports> YOLO-TME: A UAV landing detection algorithm that is suitable for Polar ice Floe base stations.

YOLO-TME: A UAV landing detection algorithm that is suitable for Polar ice Floe base stations.

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第一作者： Songwei,Zhang

第一单位： Shanxi Energy Internet Research Institute, Taiyuan, 030024, China. zsw13543660@163.com.;Key Laboratory of Cleaner Intelligent Control on Coal, Taiyuan University of Technology, Taiyuan, 030024, China. zsw13543660@163.com.

作者： Songwei,Zhang ^[1] ; Yu,Zhang ^[2] ; Yinke,Dou ^[3] ; Liwei,Kou ^[4] ; Guangyu,Zuo ^[4] ; Yuan,Liu ^[5] ; Leikun,Yang ^[5]

作者单位： Shanxi Energy Internet Research Institute, Taiyuan, 030024, China. zsw13543660@163.com.;Key Laboratory of Cleaner Intelligent Control on Coal, Taiyuan University of Technology, Taiyuan, 030024, China. zsw13543660@163.com. ^[1] Department of Automation, Taiyuan Institute of Technology, Taiyuan, 030008, China.;Key Laboratory of Cleaner Intelligent Control on Coal, Taiyuan University of Technology, Taiyuan, 030024, China. ^[2] College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, China. douyk8888cn@126.com.;Key Laboratory of Cleaner Intelligent Control on Coal, Taiyuan University of Technology, Taiyuan, 030024, China. douyk8888cn@126.com. ^[3] College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.;Shanxi Key Laboratory of Integrated Energy System, Taiyuan, 030024, China. ^[4] College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, China. ^[5]

关键词 Efficient asymmetric detection head Mist global feature pyramid network Transformer-based convolution UAV landing marker YOLOv11

DOI 10.1038/s41598-025-32923-w

PMID 41420005

发布时间 2026-01-26

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