Deep Learning-Based Road Pavement Inspection by Integrating Visual Information and IMU
This study proposes a deep learning method for pavement defect detection, focusing on identifying potholes and cracks. A dataset comprising 10,828 images is collected, with 8662 allocated for training, 1083 for validation, and 1083 for testing. Vehicle attitude data are categorized based on three-ax...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2024-04-01
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| Serier: | Information |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2078-2489/15/4/239 |
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