Pixel-Level Recognition of Pavement Distresses Based on U-Net

Pixel-Level Recognition of Pavement Distresses Based on U-Net

This study develops and tests an automatic pixel-level image recognition model to reduce the amount of manual labor required to collect data for road maintenance. Firstly, images of six kinds of pavement distresses, namely, transverse cracks, longitudinal cracks, alligator cracks, block cracks, poth...

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Bibliographic Details
Main Authors:	Deru Li, Zhongdong Duan, Xiaoyang Hu, Dongchang Zhang
Format:	Article
Language:	English
Published:	Hindawi Limited 2021-01-01
Series:	Advances in Materials Science and Engineering
Online Access:	http://dx.doi.org/10.1155/2021/5586615

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