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contributor authorNing, Chu
contributor authorChen, Ning
contributor authorWei, YiLin
contributor authorYao, Hui
contributor authorZheng, Qiang
date accessioned2026-08-20T20:54:40Z
date available2026-08-20T20:54:40Z
date copyright2025/09/27
date issued2025
identifier otherJTEPBS.TEENG-9092.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313657
description abstractAbstractVehicle detection is a pivotal application in object detection, underpinning the advancement of sustainable and intelligent transportation systems. However, mainstream video-based detection methods often raise privacy concerns for road users and ...
publisherAmerican Society of Civil Engineers
titleSustainable Vehicle Detection Technology Based on Self-Powered Sensor Data and Improved YOLOv8
typeJournal Article
journal volume151
journal issue12
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9092
journal fristpage04025100-1
journal lastpage04025100-13
page13
treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012
contenttypeFulltext


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