APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGS

During the last few years, there has been a huge methodological development regarding the automatic processing of 3D point cloud data acquired by both terrestrial and aerial mobile mapping systems, motivated by the improvement of surveying technologies and hardware performance. This paper presents a...

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Main Authors: M. Soilán, B. Riveiro, A. Sánchez-Rodríguez, L. M. González-deSantos
Format: Article
Language:English
Published: Copernicus Publications 2018-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/1067/2018/isprs-archives-XLII-2-1067-2018.pdf
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spelling doaj-efc1df6f9d4f4fda8444fcf1c6b885a62020-11-24T20:43:31ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-05-01XLII-21067107410.5194/isprs-archives-XLII-2-1067-2018APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGSM. Soilán0B. Riveiro1A. Sánchez-Rodríguez2L. M. González-deSantos3Dept. of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, Univeristy of Vigo, 36310, Vigo, SpainDept. of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, Univeristy of Vigo, 36310, Vigo, SpainDept. of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo, 36310, Vigo, SpainDept. of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo, 36310, Vigo, SpainDuring the last few years, there has been a huge methodological development regarding the automatic processing of 3D point cloud data acquired by both terrestrial and aerial mobile mapping systems, motivated by the improvement of surveying technologies and hardware performance. This paper presents a methodology that, in a first place, extracts geometric and semantic information regarding the road markings within the surveyed area from Mobile Laser Scanning (MLS) data, and then employs it to isolate street areas where pedestrian crossings are found and, therefore, pedestrians are more likely to cross the road. Then, different safety-related features can be extracted in order to offer information about the adequacy of the pedestrian crossing regarding its safety, which can be displayed in a Geographical Information System (GIS) layer. These features are defined in four different processing modules: Accessibility analysis, traffic lights classification, traffic signs classification, and visibility analysis. The validation of the proposed methodology has been carried out in two different cities in the northwest of Spain, obtaining both quantitative and qualitative results for pedestrian crossing classification and for each processing module of the safety assessment on pedestrian crossing environments.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/1067/2018/isprs-archives-XLII-2-1067-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Soilán
B. Riveiro
A. Sánchez-Rodríguez
L. M. González-deSantos
spellingShingle M. Soilán
B. Riveiro
A. Sánchez-Rodríguez
L. M. González-deSantos
APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet M. Soilán
B. Riveiro
A. Sánchez-Rodríguez
L. M. González-deSantos
author_sort M. Soilán
title APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGS
title_short APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGS
title_full APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGS
title_fullStr APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGS
title_full_unstemmed APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGS
title_sort application of mls data to the assessment of safety-related features in the surrounding area of automatically detected pedestrian crossings
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2018-05-01
description During the last few years, there has been a huge methodological development regarding the automatic processing of 3D point cloud data acquired by both terrestrial and aerial mobile mapping systems, motivated by the improvement of surveying technologies and hardware performance. This paper presents a methodology that, in a first place, extracts geometric and semantic information regarding the road markings within the surveyed area from Mobile Laser Scanning (MLS) data, and then employs it to isolate street areas where pedestrian crossings are found and, therefore, pedestrians are more likely to cross the road. Then, different safety-related features can be extracted in order to offer information about the adequacy of the pedestrian crossing regarding its safety, which can be displayed in a Geographical Information System (GIS) layer. These features are defined in four different processing modules: Accessibility analysis, traffic lights classification, traffic signs classification, and visibility analysis. The validation of the proposed methodology has been carried out in two different cities in the northwest of Spain, obtaining both quantitative and qualitative results for pedestrian crossing classification and for each processing module of the safety assessment on pedestrian crossing environments.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/1067/2018/isprs-archives-XLII-2-1067-2018.pdf
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AT asanchezrodriguez applicationofmlsdatatotheassessmentofsafetyrelatedfeaturesinthesurroundingareaofautomaticallydetectedpedestriancrossings
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