Roadside LiDAR–Filtering Method Based on a Partial Background Optimization Method

dc.contributor.author	Xu, Xiaoxia
dc.contributor.author	Fan, Lu
dc.contributor.author	Liu, Tong
dc.contributor.author	Zhao, Yating
dc.date.accessioned	2026-08-20T20:55:20Z
dc.date.available	2026-08-20T20:55:20Z
dc.date.copyright	2025/09/29
dc.date.issued	2025
dc.identifier.other	JTEPBS.TEENG-9160.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4313675
dc.description.abstract	AbstractBackground filtering is a key step for traffic information acquisition using roadside light detection and ranging (LiDAR) sensors because their performance directly affects the accuracy of downstream perception tasks. In this paper, we proposed a ...
dc.publisher	American Society of Civil Engineers
dc.title	Roadside LiDAR–Filtering Method Based on a Partial Background Optimization Method
dc.type	Journal Article
dc.journal.volume	151
dc.journal.issue	12
dc.journal.title	Journal of Transportation Engineering, Part A: Systems
dc.identifier.doi	10.1061/JTEPBS.TEENG-9160
dc.journal.fristpage	04025103-1
dc.journal.lastpage	04025103-10
dc.page	10
dc.tree	Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 012
dc.contenttype	Fulltext