Real-Time Pixel-Wise Segmentation of Road Surface Damage Using a 2D U-Net Architecture

Road surface integrity is critical for ensuring vehicular safety and reducing maintenance costs, yet traditional visual inspections are laborious and subject to human error. This study presents a tailored 2D U-Net architecture for automated pixel-wise segmentation of pavement damage specifically cra...

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Vydané v:	Procedia computer science Ročník 269; s. 131 - 139
Hlavní autori:	Olzhayev, Olzhas, Kulambayev, Bakhytzhan, Omarov, Batyrkhan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2025
Predmet:	2D U-Net Deep learning Pixel-wise segmentation Road damage semantic segmentation Deep learning semantic segmentation Pixel-wise segmentation Road damage 2D U-Net
ISSN:	1877-0509, 1877-0509
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