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contributor authorWei, Yifan
contributor authorPeng, Yi
contributor authorCheng, Huixuan
contributor authorWang, Dingfeng
contributor authorZhang, Allen A.
date accessioned2026-08-20T21:23:34Z
date available2026-08-20T21:23:34Z
date copyright2025/08/04
date issued2025
identifier otherJCCEE5.CPENG-6419.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314377
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 ...
publisherAmerican Society of Civil Engineers
titleYOLO-RAPD: Enhanced YOLOv8s-Based Automated Detection of Road Assets and Pavement Distress
typeJournal Article
journal volume39
journal issue6
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6419
journal fristpage04025092-1
journal lastpage04025092-20
page20
treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
contenttypeFulltext


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