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contributor authorWang, Yaodong
contributor authorGuo, Chenhao
contributor authorLiu, Zhen
contributor authorZhu, Liqiang
contributor authorGuo, Baoqing
contributor authorZhou, Weizhen
date accessioned2026-08-20T21:26:00Z
date available2026-08-20T21:26:00Z
date copyright2025/09/24
date issued2026
identifier otherJCCEE5.CPENG-6831.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314444
description abstractAbstractCrack detection is essential for the routine inspection of subway tunnels. This study addresses key challenges, such as low image acquisition efficiency, poor recognition performance, and the inability to quantify and evaluate cracks. A novel ...Practical ApplicationsWe have developed a tunnel lining image acquisition system equipped with six high-resolution cameras to capture detailed surface images of tunnels. This system completed data collection experiments on the mainline of a metro tunnel ...
publisherAmerican Society of Civil Engineers
titleTunnel Crack Detection and Evaluation Based on Improved Holistically Nested Edge Detection Network
typeJournal Article
journal volume40
journal issue1
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6831
journal fristpage04025115-1
journal lastpage04025115-13
page13
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
contenttypeFulltext


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