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

Abstract In the environments of the North and South Poles, ice floe drifts lead to excessive errors in the GPS and real-time kinematic (RTK) signals of the unmanned aerial vehicle (UAV)-based cross-domain collaborative monitoring systems deployed on these floes, which makes it impossible to complete...

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Autori principali:	Songwei Zhang, Yu Zhang, Yinke Dou, Liwei Kou, Guangyu Zuo, Yuan Liu, Leikun Yang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-12-01
Serie:	Scientific Reports
Soggetti:	YOLOv11 UAV landing marker Transformer-based convolution Mist global feature pyramid network Efficient asymmetric detection head
Accesso online:	https://doi.org/10.1038/s41598-025-32923-w
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