Application of Advanced Deep Convolutional Neural Networks for the Recognition of Road Surface Anomalies

Application of Advanced Deep Convolutional Neural Networks for the Recognition of Road Surface Anomalies

The detection of road surface anomalies is a crucial task for modern traffic monitoring systems. In this paper, we used the YOLOv8 network,- a state-of-the-art convolutional neural network architecture, for real-time object recognition and to automatically identify potholes, cracks, and patches on t...

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Bibliographic Details
Main Author:	Dong Doan Van
Format:	Article
Language:	English
Published:	D. G. Pylarinos 2023-06-01
Series:	Engineering, Technology & Applied Science Research
Subjects:	road surface anomalies digital image processing transportation convolutional neural networks
Online Access:	https://etasr.com/index.php/ETASR/article/view/5890

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