Deployable Deep Learning Models for Crack Detection: Efficiency, Interpretability, and Severity Estimation

Concrete infrastructure inspection is essential for maintaining the safety and longevity of urban environments. Traditional manual crack detection methods are labor-intensive, inconsistent, and difficult to scale. Recent advancements in deep learning and computer vision offer automated alternatives,...

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Hlavní autoři:	Amna Altaf, Adeel Mehmood, Massimo Leonardo Filograno, Soltan Alharbi, Jamshed Iqbal
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-09-01
Edice:	Buildings
Témata:	crack detection lightweight CNN infrastructure monitoring autonomous inspection
On-line přístup:	https://www.mdpi.com/2075-5309/15/18/3362
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