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Evaluating Road Crack Segmentation Performance in Participatory Sensing: An Exploration of Alternative Metrics

dc.contributor.authorHyeon, Jeongho
dc.contributor.authorJeong, Minwoo
dc.contributor.authorChern, Wei-Chih
dc.contributor.authorAsari, Vijayan K.
dc.contributor.authorKim, Hongjo
dc.date.accessioned2026-08-20T21:22:33Z
dc.date.available2026-08-20T21:22:33Z
dc.date.copyright2025/06/13
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6011.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314357
dc.description.abstractAbstractIn participatory sensing, road cracks can be monitored utilizing the dashboard cameras (dashcams) of regular vehicles. While the predicted segmentation masks in dashcam images may seem satisfactory for assessing road crack ratios to the human eye, ...
dc.publisherAmerican Society of Civil Engineers
dc.titleEvaluating Road Crack Segmentation Performance in Participatory Sensing: An Exploration of Alternative Metrics
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue5
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6011
dc.journal.fristpage04025064-1
dc.journal.lastpage04025064-17
dc.page17
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005
dc.contenttypeFulltext


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