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An annotated water-filled, and dry potholes dataset for deep learning applications
Potholes have long posed a challenging risk to automated systems due to their random and stochastic shapes and the reflectiveness of their surface when filled with water, whether it is “muddy” water or clear water. This has formed a significant limitation to autonomous assistive technologies such as...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197008/ https://www.ncbi.nlm.nih.gov/pubmed/37213553 http://dx.doi.org/10.1016/j.dib.2023.109206 |