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contributor authorYe, Lan
contributor authorLu, Shijun
contributor authorHu, Fengkuo
contributor authorFang, Qing
contributor authorZou, Tao
contributor authorMan, Xiaofeng
contributor authorZhang, Qinzhan
date accessioned2026-08-20T12:01:38Z
date available2026-08-20T12:01:38Z
date copyright2025/10/03
date issued2025
identifier otherJPEODX.PVENG-1815.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312993
description abstractAbstractA key challenge in road infrastructure assessment and maintenance pertains to the limited detection accuracy, high computational demands, complex model architectures, and restricted adaptability of existing algorithms for identifying pavement ...Practical ApplicationsTimely detection of road defects (such as cracks, potholes, and subsidence) is critical for ensuring road safety and reducing long-term maintenance costs. Traditional inspection methods, which rely on manual visual checks or basic ...
publisherAmerican Society of Civil Engineers
titleYOLOv8n-SBP: A Lightweight and Efficient Model for Pavement Distress Detection
typeJournal Article
journal volume151
journal issue4
journal titleJournal of Transportation Engineering, Part B: Pavements
identifier doi10.1061/JPEODX.PVENG-1815
journal fristpage04025048-1
journal lastpage04025048-12
page12
treeJournal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 004
contenttypeFulltext


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