ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving

Abstract Drawing inspiration from the state‐of‐the‐art object detection framework YOLOv8, a new model termed adverse weather net (ADWNet) is proposed. To enhance the model's feature extraction capabilities, the efficient multi‐scale attention (EMA) module has been integrated into the backbone. To ad...

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Detalhes bibliográficos

Principais autores:	Xinyun Feng, Tao Peng, Ningguo Qiao, Haitao Li, Qiang Chen, Rui Zhang, Tingting Duan, JinFeng Gong
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-10-01
coleção:	IET Intelligent Transport Systems
Assuntos:	artificial intelligence automobiles autonomous driving
Acesso em linha:	https://doi.org/10.1049/itr2.12566
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