Comparative analysis of Road Scanning Techniques

A three-dimensional road point cloud is not only useful for civil engineers (road rehabilitation, road condition assessment) but can also be useful for vehicle engineers (autonomous vehicle driving scenario, vehicle dynamics simulation). Currently, there are several scanning techniques can be used...

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Main Authors: Mohammad DOWAJY, Daniel BARANYAI, Arpad SOMOGYI, Robert VRBOVSZKI, Tamas LOVAS
Format: Article
Language:English
Published: Society of Land Measurements and Cadastre from Transylvania (SMTCT) 2023-03-01
Series:Nova Geodesia
Subjects:
Online Access:https://novageodesia.ro/index.php/ng/article/view/111
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author Mohammad DOWAJY
Daniel BARANYAI
Arpad SOMOGYI
Robert VRBOVSZKI
Tamas LOVAS
author_facet Mohammad DOWAJY
Daniel BARANYAI
Arpad SOMOGYI
Robert VRBOVSZKI
Tamas LOVAS
author_sort Mohammad DOWAJY
collection DOAJ
description A three-dimensional road point cloud is not only useful for civil engineers (road rehabilitation, road condition assessment) but can also be useful for vehicle engineers (autonomous vehicle driving scenario, vehicle dynamics simulation). Currently, there are several scanning techniques can be used to obtain these point clouds, such as terrestrial laser scanning (TLS), mobile laser scanning (MLS), airborne laser scanning (ALS), unmanned aerial vehicle (UAV) photogrammetry or UAV laser scanning. This paper discusses the investigation of four road surface scanning techniques by comparing their point clouds and the derived products. The comparison was performed for a section of a road with 1136 m length and 4 m width, the TLS survey provided the reference data. Aspects of point cloud evaluation included geometric accuracy, density, and the parameters of plane-fitting. CRG models were created from all studied point clouds to compare the difference between the final products to be used by the automotive industry. The results show that the MLS and the UAV photogrammetry generated the most accurate point cloud, while UAV laser scanning accuracy was the lowest. Similarly, the CRG models comparison showed that there was no significant difference between MLS and TLS models, and the UAV photogrammetry gave a smoother variation relative to the reference surface. Whereas the largest differences were noted for the CRG model derived from the UAV laser scanning models.    
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spelling doaj.art-df0754b03704408987e26a01cd27756a2023-09-14T17:40:12ZengSociety of Land Measurements and Cadastre from Transylvania (SMTCT)Nova Geodesia2810-27542023-03-013110.55779/ng31111Comparative analysis of Road Scanning TechniquesMohammad DOWAJY0Daniel BARANYAI1Arpad SOMOGYI2Robert VRBOVSZKI3Tamas LOVAS4Budapest University of Technology and Economics, Faculty of Civil Engineering, Department of Photogrammetry and Geoinformatics, Műegyetem rkp. 3., H-1111 BudapestBudapest University of Technology and Economics, Faculty of Civil Engineering, Department of Photogrammetry and Geoinformatics, Műegyetem rkp. 3., H-1111 BudapestBudapest University of Technology and Economics, Faculty of Civil Engineering, Department of Photogrammetry and Geoinformatics, Műegyetem rkp. 3., H-1111 BudapestSTRABAG Magyarország | Gábor Dénes utca 2. INFOPARK D épület | H-1117 BudapestBudapest University of Technology and Economics, Faculty of Civil Engineering, Department of Photogrammetry and Geoinformatics, Műegyetem rkp. 3., H-1111 Budapest A three-dimensional road point cloud is not only useful for civil engineers (road rehabilitation, road condition assessment) but can also be useful for vehicle engineers (autonomous vehicle driving scenario, vehicle dynamics simulation). Currently, there are several scanning techniques can be used to obtain these point clouds, such as terrestrial laser scanning (TLS), mobile laser scanning (MLS), airborne laser scanning (ALS), unmanned aerial vehicle (UAV) photogrammetry or UAV laser scanning. This paper discusses the investigation of four road surface scanning techniques by comparing their point clouds and the derived products. The comparison was performed for a section of a road with 1136 m length and 4 m width, the TLS survey provided the reference data. Aspects of point cloud evaluation included geometric accuracy, density, and the parameters of plane-fitting. CRG models were created from all studied point clouds to compare the difference between the final products to be used by the automotive industry. The results show that the MLS and the UAV photogrammetry generated the most accurate point cloud, while UAV laser scanning accuracy was the lowest. Similarly, the CRG models comparison showed that there was no significant difference between MLS and TLS models, and the UAV photogrammetry gave a smoother variation relative to the reference surface. Whereas the largest differences were noted for the CRG model derived from the UAV laser scanning models.     https://novageodesia.ro/index.php/ng/article/view/111comparisonlaser scanningOpenCRGphotogrammetrypoint cloudsurface model
spellingShingle Mohammad DOWAJY
Daniel BARANYAI
Arpad SOMOGYI
Robert VRBOVSZKI
Tamas LOVAS
Comparative analysis of Road Scanning Techniques
Nova Geodesia
comparison
laser scanning
OpenCRG
photogrammetry
point cloud
surface model
title Comparative analysis of Road Scanning Techniques
title_full Comparative analysis of Road Scanning Techniques
title_fullStr Comparative analysis of Road Scanning Techniques
title_full_unstemmed Comparative analysis of Road Scanning Techniques
title_short Comparative analysis of Road Scanning Techniques
title_sort comparative analysis of road scanning techniques
topic comparison
laser scanning
OpenCRG
photogrammetry
point cloud
surface model
url https://novageodesia.ro/index.php/ng/article/view/111
work_keys_str_mv AT mohammaddowajy comparativeanalysisofroadscanningtechniques
AT danielbaranyai comparativeanalysisofroadscanningtechniques
AT arpadsomogyi comparativeanalysisofroadscanningtechniques
AT robertvrbovszki comparativeanalysisofroadscanningtechniques
AT tamaslovas comparativeanalysisofroadscanningtechniques