YOLO-DD: a lightweight framework for UAV detection in complex environments via boundary-aware fusion

Abstract The rapid proliferation of unmanned aerial vehicles (UAVs) poses significant challenges for collision avoidance and privacy protection, particularly due to the high missing detection rate of small UAV targets in complex backgrounds and multi-scale scenarios. To address these challenges, thi...

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Detalhes bibliográficos

Principais autores:	Chaowen Zheng, Limin Liu, Qiang Fu, Qing Yang, Dongdong Zhang, Haojie Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2025-09-01
coleção:	EURASIP Journal on Advances in Signal Processing
Assuntos:	UAV detection Small target YOLOv11 Deep learning
Acesso em linha:	https://doi.org/10.1186/s13634-025-01253-4
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