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Autonomous Rail Rapid Transit Pavement Damage Segmentation Algorithm Based on YOLOv8s-D

dc.contributor.authorWu, Qingdong
dc.contributor.authorTian, Libin
dc.contributor.authorMiao, Jijun
dc.contributor.authorLiu, Caiwei
dc.contributor.authorWang, Zhiqiang
dc.contributor.authorZhang, Guoyan
dc.date.accessioned2026-08-20T21:25:58Z
dc.date.available2026-08-20T21:25:58Z
dc.date.copyright2025/07/17
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6829.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314443
dc.description.abstractAbstractThe integrity of autonomous rail rapid transit (ART) is crucial for efficient transportation system operation. However, accurately identifying damage to ART pavements in complex backgrounds poses a challenge for existing semantic segmentation ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAutonomous Rail Rapid Transit Pavement Damage Segmentation Algorithm Based on YOLOv8s-D
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue6
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6829
dc.journal.fristpage04025079-1
dc.journal.lastpage04025079-18
dc.page18
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
dc.contenttypeFulltext


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