A novel U‐shaped encoder–decoder network with attention mechanism for detection and evaluation of road cracks at pixel level

As the most common road distress, cracks have a substantial influence on the integrity of pavement structures. Accurate identification of crack existence and quantification of crack geometry are thus critical for the decision‐making of maintenance measures. This paper proposes a novel neural network...

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Vydané v:	Computer-aided civil and infrastructure engineering Ročník 37; číslo 13; s. 1721 - 1736
Hlavní autori:	Chen, Jun, He, Ye
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc 01.11.2022
Predmet:	Coders Crack geometry Cracks Decoding Flaw detection Neural networks Pavement condition Pixels
ISSN:	1093-9687, 1467-8667
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