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dc.contributor.authorBalado Frías, Jesús 
dc.contributor.authorDíaz Vilariño, Lucía 
dc.contributor.authorArias Sánchez, Pedro 
dc.contributor.authorGarrido González, Iván 
dc.date.accessioned2019-10-31T09:21:21Z
dc.date.available2019-10-31T09:21:21Z
dc.date.issued2017-09-13
dc.identifier.issn21949050
dc.identifier.urihttp://hdl.handle.net/11093/1354
dc.description.abstractThis work presents an approach to automatically detect structural floor elements such as steps or ramps in the immediate environment of buildings, elements that may affect the accessibility to buildings. The methodology is based on Mobile Laser Scanner (MLS) point cloud and trajectory information. First, the street is segmented in stretches along the trajectory of the MLS to work in regular spaces. Next, the lower region of each stretch (the ground zone) is selected as the ROI and normal, curvature and tilt are calculated for each point. With this information, points in the ROI are classified in horizontal, inclined or vertical. Points are refined and grouped in structural elements using raster process and connected components in different phases for each type of previously classified points. At last, the trajectory data is used to distinguish between road and sidewalks. Adjacency information is used to classify structural elements in steps, ramps, curbs and curb-ramps. The methodology is tested in a real case study, consisting of 100 m of an urban street. Ground elements are correctly classified in an acceptable computation time. Steps and ramps also are exported to GIS software to enrich building models from Open Street Map with information about accessible/inaccessible entrances and their locations.spa
dc.language.isoengspa
dc.titlePoint clouds to indoor/outdoor accessibility diagnosisspa
dc.typeconferenceObjectspa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.5194/isprs-annals-IV-2-W4-287-2017
dc.identifier.editorhttps://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/287/2017/spa
dc.publisher.departamentoEnxeñaría dos recursos naturais e medio ambientespa
dc.conferenceObject.typeComunicación extensa nacionalspa
dc.identifier.conferenceObjectISPRS Geospatial Week 2017, Wuhan, China, 18-22 septiembre 2017spa
dc.publisher.grupoinvestigacionXeotecnoloxías Aplicadasspa
dc.subject.unesco331102 Ingeniería de control
dc.subject.unesco330522 Metrología de la edificación
dc.subject.unesco330534 Topografía de la edificación
dc.date.updated2019-10-29T08:46:59Z
dc.computerCitationpub_title=POINT CLOUDS TO INDOOR/OUTDOOR ACCESSIBILITY DIAGNOSIS|volume=undefined|journal_number=24|start_pag=287|end_pag=293|congress_title=ISPRS Geospatial Week 2017|start_date=18/9/2017|end_date=22/9/2017spa


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