Extraction of road boundary from MLS data using laser scanner ground trajectory

Various means of extracting road boundary from mobile laser scanning data based on vehicle trajectories have been investigated. Independent of positioning and navigation data, this study estimated the scanner ground track from the spatial distribution of the point cloud as an indicator of road locat...

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Autores principales:	Sui Lichun, Zhu Jianfeng, Zhong Mianqing, Wang Xue, Kang Junmei
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	edge block scanner ground track pseudo-mileage spacing map boundary tracking Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/342ba11202804680a621701aa837abc3
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id	oai:doaj.org-article:342ba11202804680a621701aa837abc3
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spelling	oai:doaj.org-article:342ba11202804680a621701aa837abc32021-12-05T14:10:48ZExtraction of road boundary from MLS data using laser scanner ground trajectory2391-544710.1515/geo-2020-0264https://doaj.org/article/342ba11202804680a621701aa837abc32021-06-01T00:00:00Zhttps://doi.org/10.1515/geo-2020-0264https://doaj.org/toc/2391-5447Various means of extracting road boundary from mobile laser scanning data based on vehicle trajectories have been investigated. Independent of positioning and navigation data, this study estimated the scanner ground track from the spatial distribution of the point cloud as an indicator of road location. We defined a typical edge block consisting of multiple continuous upward fluctuating points by abrupt changes in elevation, upward slope, and road horizontal slope. Subsequently, such edge blocks were searched for on both sides of the estimated track. A pseudo-mileage spacing map was constructed to reflect the variation in spacing between the track and edge blocks over distance, within which road boundary points were detected using a simple linear tracking model. Experimental results demonstrate that the ground trajectory of the extracted scanner forms a smooth and continuous string just on the road; this can serve as the basis for defining edge block and road boundary tracking algorithms. The defined edge block has been experimentally verified as highly accurate and strongly noise resistant, while the boundary tracking algorithm is simple, fast, and independent of the road boundary model used. The correct detection rate of the road boundary in two experimental data is more than 99.2%.Sui LichunZhu JianfengZhong MianqingWang XueKang JunmeiDe Gruyterarticleedge blockscanner ground trackpseudo-mileage spacing mapboundary trackingGeologyQE1-996.5ENOpen Geosciences, Vol 13, Iss 1, Pp 690-704 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	edge block scanner ground track pseudo-mileage spacing map boundary tracking Geology QE1-996.5
spellingShingle	edge block scanner ground track pseudo-mileage spacing map boundary tracking Geology QE1-996.5 Sui Lichun Zhu Jianfeng Zhong Mianqing Wang Xue Kang Junmei Extraction of road boundary from MLS data using laser scanner ground trajectory
description	Various means of extracting road boundary from mobile laser scanning data based on vehicle trajectories have been investigated. Independent of positioning and navigation data, this study estimated the scanner ground track from the spatial distribution of the point cloud as an indicator of road location. We defined a typical edge block consisting of multiple continuous upward fluctuating points by abrupt changes in elevation, upward slope, and road horizontal slope. Subsequently, such edge blocks were searched for on both sides of the estimated track. A pseudo-mileage spacing map was constructed to reflect the variation in spacing between the track and edge blocks over distance, within which road boundary points were detected using a simple linear tracking model. Experimental results demonstrate that the ground trajectory of the extracted scanner forms a smooth and continuous string just on the road; this can serve as the basis for defining edge block and road boundary tracking algorithms. The defined edge block has been experimentally verified as highly accurate and strongly noise resistant, while the boundary tracking algorithm is simple, fast, and independent of the road boundary model used. The correct detection rate of the road boundary in two experimental data is more than 99.2%.
format	article
author	Sui Lichun Zhu Jianfeng Zhong Mianqing Wang Xue Kang Junmei
author_facet	Sui Lichun Zhu Jianfeng Zhong Mianqing Wang Xue Kang Junmei
author_sort	Sui Lichun
title	Extraction of road boundary from MLS data using laser scanner ground trajectory
title_short	Extraction of road boundary from MLS data using laser scanner ground trajectory
title_full	Extraction of road boundary from MLS data using laser scanner ground trajectory
title_fullStr	Extraction of road boundary from MLS data using laser scanner ground trajectory
title_full_unstemmed	Extraction of road boundary from MLS data using laser scanner ground trajectory
title_sort	extraction of road boundary from mls data using laser scanner ground trajectory
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/342ba11202804680a621701aa837abc3
work_keys_str_mv	AT suilichun extractionofroadboundaryfrommlsdatausinglaserscannergroundtrajectory AT zhujianfeng extractionofroadboundaryfrommlsdatausinglaserscannergroundtrajectory AT zhongmianqing extractionofroadboundaryfrommlsdatausinglaserscannergroundtrajectory AT wangxue extractionofroadboundaryfrommlsdatausinglaserscannergroundtrajectory AT kangjunmei extractionofroadboundaryfrommlsdatausinglaserscannergroundtrajectory
_version_	1718371713855520768

Extraction of road boundary from MLS data using laser scanner ground trajectory

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