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contributor authorCheng, Huixuan
contributor authorZhang, Allen A.
contributor authorWang, Dingfeng
contributor authorShang, Jing
contributor authorHe, Anzheng
contributor authorPeng, Yi
contributor authorWei, Yifan
contributor authorZhan, You
date accessioned2026-08-20T21:27:52Z
date available2026-08-20T21:27:52Z
date copyright2026/01/29
date issued2026
identifier otherJCCEE5.CPENG-7183.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314496
description abstractAbstractAutomated road maintenance depends on the accurate recognition of pavement distresses. Traditional manual inspection methods have difficulty meeting the high-frequency and high-precision detection for automated pavement maintenance. This paper ...
publisherAmerican Society of Civil Engineers
titleJCNet-Based Multidistress and Surface Feature Detection in Pavement Images at Pixel Level
typeJournal Article
journal volume40
journal issue3
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-7183
journal fristpage04026011-1
journal lastpage04026011-15
page15
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
contenttypeFulltext


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