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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Bibliographic Details

Published in:	Computer-aided civil and infrastructure engineering Vol. 37; no. 13; pp. 1721 - 1736
Main Authors:	Chen, Jun, He, Ye
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc 01.11.2022
Subjects:	Coders Crack geometry Cracks Decoding Flaw detection Neural networks Pavement condition Pixels
ISSN:	1093-9687, 1467-8667
Online Access:	Get full text
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