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dc.contributor.authorBalado Frías, Jesús 
dc.contributor.authorDíaz Vilariño, Lucía 
dc.contributor.authorArias Sánchez, Pedro 
dc.contributor.authorSoilán Rodríguez, Mario 
dc.date.accessioned2019-10-30T11:31:34Z
dc.date.available2019-10-30T11:31:34Z
dc.date.issued2017-10
dc.identifier.citationAutomation in Construction, 82, 103-111 (2017)spa
dc.identifier.issn09265805
dc.identifier.urihttp://hdl.handle.net/11093/1352
dc.description.abstractBuilding accessibility diagnosis is of high interest especially in case of people with reduced mobility. This paper proposes a methodology for automated detection of inaccessible steps in building façade entrances from MLS (mobile laser scanner) data. Our approach uses the MLS trajectory to automatically subdivide urban point clouds into regular stretches. From each stretch, the lower zone of façade is isolated and selected as region of interest. Points belonging to vertical elements are projected onto a 2D image and steps are detected and classified as inaccessible areas according to the comparison of geometrical features such as height jump, proximity to ground and width, with regulation. The methodology has been tested in four real datasets, which constitute > 400 m of different urban scenarios. Results exhibit a robust performance under urban scenes with a high variability of façade geometry due to the presence of different entrance types to shops and dwellings. Results have been quantitatively evaluated and they show global F1 value around 93%. Moreover, the methodology is very fast since 100 m are processed in < 2 min.spa
dc.description.sponsorshipSCI-EYSA. Smart cities e seguridade vialspa
dc.description.sponsorshipXunta de Galicia. ED481B 2016/079-0spa
dc.description.sponsorshipMinisterio de Economía y Competitividad. Ref. TIN2016-77158-C4-2-Rspa
dc.language.isoengspa
dc.publisherAutomation in Constructionspa
dc.titleAutomatic building accessibility diagnosis from point cloudsspa
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.relation.projectIDinfo:eu-repo/grantAgreement/EU/H2020/720661spa
dc.identifier.doi10.1016/j.autcon.2017.06.026
dc.identifier.editorhttps://linkinghub.elsevier.com/retrieve/pii/S0926580517302029spa
dc.publisher.departamentoEnxeñaría dos recursos naturais e medio ambientespa
dc.publisher.departamentoEnxeñaría dos materiais, mecánica aplicada e construciónspa
dc.publisher.grupoinvestigacionXeotecnoloxías Aplicadasspa
dc.subject.unesco330522 Metrología de la edificación
dc.subject.unesco330534 Topografía de la edificación
dc.subject.unesco331102 Ingeniería de control
dc.date.updated2019-10-29T11:09:41Z


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