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dc.contributor.authorWei, Yifan
dc.contributor.authorPeng, Yi
dc.contributor.authorCheng, Huixuan
dc.contributor.authorWang, Dingfeng
dc.contributor.authorZhang, Allen A.
dc.date.accessioned2026-08-20T21:23:34Z
dc.date.available2026-08-20T21:23:34Z
dc.date.copyright2025/08/04
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6419.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314377
dc.description.abstractAbstractThis paper introduces an object detection algorithm called you only look once-road assets and pavement distress (YOLO-RAPD), developed to automatically identify road assets and pavement distresses. YOLO-RAPD is an improvement based on you only ...Practical ApplicationsPavement distresses, such as cracks, potholes, spalling, and missing markings, are the most common form of damage in highway maintenance, directly affecting the service life of the road and driving safety. With the increase of urban ...
dc.publisherAmerican Society of Civil Engineers
dc.titleYOLO-RAPD: Enhanced YOLOv8s-Based Automated Detection of Road Assets and Pavement Distress
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue6
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6419
dc.journal.fristpage04025092-1
dc.journal.lastpage04025092-20
dc.page20
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
dc.contenttypeFulltext


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