A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Survey of road cracks in a timely, complete, and accurate way is pivotal to pavement maintenance planning. Motivated by the increasingly heavy task of identifying cracks, researchers have developed extensive crack segmentation models based on Deep learning (DL) methods with significantly different l...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
KeAi Communications Co., Ltd.
2024-03-01
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| Colecção: | International Journal of Transportation Science and Technology |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2046043023001028 |
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