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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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Detalhes bibliográficos
Principais autores: Mario Roman-Garay, Hector Rodriguez-Rangel, Carlos Beltran Hernandez-Beltran, Peter Lepej, José Eleazar Arreygue-Rocha, Luis Alberto Morales-Rosales
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-07-01
coleção:Case Studies in Construction Materials
Assuntos:
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2214509525002384
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