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Road Object Detection in Foggy Complex Scenes Based on Improved YOLOv8

Focusing on the challenges of vehicle detection in foggy weather, especially the algorithm of low accuracy caused by small and incomplete targets in adverse weather conditions, a foggy weather vehicle detection algorithm based on improved lightweight YOLOv8 was proposed. Firstly, the dataset was pro...

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Autori principali: Long Cheng, Dan Zhang, Yan Zheng
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2024-01-01
Serie:IEEE Access
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Accesso online:https://ieeexplore.ieee.org/document/10623262/
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