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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| Format: | Article |
| Language: | English |
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D. G. Pylarinos
2023-06-01
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| Series: | Engineering, Technology & Applied Science Research |
| Subjects: | |
| Online Access: | https://etasr.com/index.php/ETASR/article/view/5890 |