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dc.contributor.authorLamas Novoa, Daniel 
dc.contributor.authorJusto Dominguez, Andrés 
dc.contributor.authorSoilán Rodríguez, Mario 
dc.contributor.authorRiveiro Rodríguez, Belén 
dc.date.accessioned2022-10-28T06:56:04Z
dc.date.available2022-10-28T06:56:04Z
dc.date.issued2022-10-14
dc.identifier.citationISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences, X-4/W2-2022, 169-176 (2022)spa
dc.identifier.issn21949050
dc.identifier.urihttp://hdl.handle.net/11093/3981
dc.description.abstractThe 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.spa
dc.description.sponsorshipAgencia Estatal de Investigación | Ref. FJC2018-035550-Ispa
dc.description.sponsorshipFundación BBVAspa
dc.language.isoengspa
dc.publisherISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciencesspa
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FJC2018-035550-I/ES/
dc.rightsAtribución 4.0 Internacional
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.title3D point cloud to bim: automated application to define IFC alignment and roadway width entities from MLS-Acquired LiDAR data of mountain roadsen
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.5194/isprs-annals-X-4-W2-2022-169-2022
dc.identifier.editorhttps://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-4-W2-2022/169/2022/spa
dc.publisher.departamentoEnxeñaría dos materiais, mecánica aplicada e construciónspa
dc.publisher.grupoinvestigacionXeotecnoloxías Aplicadasspa
dc.subject.unesco3305.06 Ingeniería Civilspa
dc.subject.unesco3310.04 Ingeniería de Mantenimientospa
dc.date.updated2022-10-28T06:49:46Z
dc.computerCitationpub_title=ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences|volume=X-4/W2-2022|journal_number=|start_pag=169|end_pag=176spa


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    Atribución 4.0 Internacional
    Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional