EMG-YOLO: road crack detection algorithm for edge computing devices

IntroductionRoad cracks significantly shorten the service life of roads. Manual detection methods are inefficient and costly. The YOLOv5 model has made some progress in road crack detection. However, issues arise when deployed on edge computing devices. The main problem is that edge computing device...

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Главные авторы:	Yan Xing, Xu Han, Xiaodong Pan, Dong An, Weidong Liu, Yuanshen Bai
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2024-07-01
Серии:	Frontiers in Neurorobotics
Предметы:	road crack detection YOLOv5 Efficient Decoupled Head MPDIou deep learning
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fnbot.2024.1423738/full
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