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contributor authorXu, Guiyang
contributor authorFu, Shuai
contributor authorBai, Tangbo
contributor authorLiu, Xiaoya
contributor authorQi, Chentao
contributor authorFan, Yipeng
date accessioned2026-08-20T21:28:24Z
date available2026-08-20T21:28:24Z
date copyright2026/06/10
date issued2026
identifier otherJCCEE5.CPENG-7325.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314512
description abstractAbstractThis paper addresses the low efficiency of manual inspection of railway bridge diseases by proposing the YOLO-OSE algorithm. Deployable on embedded platforms and designed to work with unmanned aerial vehicle (UAV)-captured images for real-time ...
publisherAmerican Society of Civil Engineers
titleReal-Time Railway Bridge Disease Detection Algorithm on Embedded Platforms
typeJournal Article
journal volume40
journal issue5
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-7325
journal fristpage04026074-1
journal lastpage04026074-16
page16
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
contenttypeFulltext


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