Architecture for pavement pothole evaluation using deep learning, machine vision, and fuzzy logic
Roads are critical for economic growth and trade but are constantly degraded by heavy traffic and adverse weather, leading to potholes that compromise safety. Traditional detection methods, like manual inspections, are labor-intensive, costly, and prone to errors. Existing automated systems also str...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2025-07-01
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| Серія: | Case Studies in Construction Materials |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2214509525002384 |
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