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3D point cloud to bim: automated application to define IFC alignment and roadway width entities from MLS-Acquired LiDAR data of mountain roads

Identificadores del recurso

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences, X-4/W2-2022, 169-176 (2022)

21949050

http://hdl.handle.net/11093/3981

10.5194/isprs-annals-X-4-W2-2022-169-2022

https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-4-W2-2022/169/2022/

Procedència

Fitxa

Títol:: 3D point cloud to bim: automated application to define IFC alignment and roadway width entities from MLS-Acquired LiDAR data of mountain roads
Tema:: 3305.06 Ingeniería Civil; 3310.04 Ingeniería de Mantenimiento
Descripció:: The growing trend of developing standards of information exchange and management processes is leading to Building Information Models (BIM) being adapted to work with linear infrastructure assets. For this reason, the Industry Foundation Classes (IFC) has developed standards for linear infrastructure such as roads. Furthermore, the usage of remote sensing technologies, such as Mobile Laser Scanning (MLS) systems for infrastructure monitoring is increasingly common. This paper presents an automated methodology that takes as input 3D point cloud tiles from an MLS and its trajectory, and outputs an IFC-compliant file that models the alignment of the road and the width of the roadway along the length of the road. The methodology is evaluated in 48 km of mountain roads, in some cases without road markings, using neither intensity nor colour fields.; Agencia Estatal de Investigación | Ref. FJC2018-035550-I; Fundación BBVA
Idioma:: English
Relació:: info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FJC2018-035550-I/ES/
Autor/Productor:: Lamas Novoa, Daniel; Justo Dominguez, Andrés; Soilán Rodríguez, Mario; Riveiro Rodríguez, Belén
Editor:: ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences; Enxeñaría dos materiais, mecánica aplicada e construción; Xeotecnoloxías Aplicadas
Drets:: Atribución 4.0 Internacional; https://creativecommons.org/licenses/by/4.0/deed.es; openAccess
Data:: 2022-10-28T06:56:04Z; 2022-10-14; 2022-10-28T06:49:46Z
Tipo de recurso:: article

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        <field name="value">The growing trend of developing standards of information exchange and management processes is leading to Building Information Models (BIM) being adapted to work with linear infrastructure assets. For this reason, the Industry Foundation Classes (IFC) has developed standards for linear infrastructure such as roads. Furthermore, the usage of remote sensing technologies, such as Mobile Laser Scanning (MLS) systems for infrastructure monitoring is increasingly common. This paper presents an automated methodology that takes as input 3D point cloud tiles from an MLS and its trajectory, and outputs an IFC-compliant file that models the alignment of the road and the width of the roadway along the length of the road. The methodology is evaluated in 48 km of mountain roads, in some cases without road markings, using neither intensity nor colour fields.</field>
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