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....

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Bibliographic Details
Main Authors: Xinyun Feng, Tao Peng, Ningguo Qiao, Haitao Li, Qiang Chen, Rui Zhang, Tingting Duan, JinFeng Gong
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:IET Intelligent Transport Systems
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Online Access:https://doi.org/10.1049/itr2.12566
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