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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Podrobná bibliografie

Hlavní autoři:	Mario Roman-Garay, Hector Rodriguez-Rangel, Carlos Beltran Hernandez-Beltran, Peter Lepej, José Eleazar Arreygue-Rocha, Luis Alberto Morales-Rosales
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-07-01
Edice:	Case Studies in Construction Materials
Témata:	Pothole detection Depth estimation Deep learning Pavement assessment Maintenance recommendations
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2214509525002384
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