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Automatic building accessibility diagnosis from point clouds

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dc.contributor.author Balado Frías, Jesús
dc.contributor.author Díaz Vilariño, Lucía
dc.contributor.author Arias Sánchez, Pedro
dc.contributor.author Soilán Rodríguez, Mario
dc.date.accessioned 2019-10-30T11:31:34Z
dc.date.available 2019-10-30T11:31:34Z
dc.date.issued 2017-10
dc.identifier.citation Automation in Construction, 82, 103-111 (2017) spa
dc.identifier.issn 09265805
dc.identifier.uri http://hdl.handle.net/11093/1352
dc.description.abstract Building 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.sponsorship SCI-EYSA. Smart cities e seguridade vial spa
dc.description.sponsorship Xunta de Galicia. ED481B 2016/079-0 spa
dc.description.sponsorship Ministerio de Economía y Competitividad. Ref. TIN2016-77158-C4-2-R spa
dc.language.iso eng spa
dc.publisher Automation in Construction spa
dc.title Automatic building accessibility diagnosis from point clouds spa
dc.type article spa
dc.rights.accessRights openAccess spa
dc.relation.projectID info:eu-repo/grantAgreement/EU/H2020/720661 spa
dc.identifier.doi 10.1016/j.autcon.2017.06.026
dc.identifier.editor https://linkinghub.elsevier.com/retrieve/pii/S0926580517302029 spa
dc.publisher.departamento Enxeñaría dos recursos naturais e medio ambiente spa
dc.publisher.departamento Enxeñaría dos materiais, mecánica aplicada e construción spa
dc.publisher.grupoinvestigacion Xeotecnoloxías Aplicadas spa
dc.subject.unesco 330522 Metrología de la edificación
dc.subject.unesco 330534 Topografía de la edificación
dc.subject.unesco 331102 Ingeniería de control
dc.date.updated 2019-10-29T11:09:41Z


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