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Automatic Construction of 3D Basic-Semantic Models of Inhabited Interiors Using Laser Scanners and RFID Sensors

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dc.contributor.authorValero Rodríguez, Enrique
dc.contributor.authorAdán, Antonio
dc.contributor.authorCerrada Somolinos, Carlos
dc.date.accessioned2024-05-20T11:39:39Z
dc.date.available2024-05-20T11:39:39Z
dc.date.issued2012-05-03
dc.description.abstractThis paper is focused on the automatic construction of 3D basic-semantic models of inhabited interiors using laser scanners with the help of RFID technologies. This is an innovative approach, in whose field scarce publications exist. The general strategy consists of carrying out a selective and sequential segmentation from the cloud of points by means of different algorithms which depend on the information that the RFID tags provide. The identification of basic elements of the scene, such as walls, floor, ceiling, windows, doors, tables, chairs and cabinets, and the positioning of their corresponding models can then be calculated. The fusion of both technologies thus allows a simplified 3D semantic indoor model to be obtained. This method has been tested in real scenes under difficult clutter and occlusion conditions, and has yielded promising results.en
dc.description.versionversión publicada
dc.identifier.doi10.3390/s120505705
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12380
dc.language.isoen
dc.publisherMDPI
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentIngeniería de Software y Sistemas Informáticos
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywords3D modeling
dc.subject.keywordsRFID
dc.subject.keywordslaser scanner
dc.subject.keywords3D data processing
dc.titleAutomatic Construction of 3D Basic-Semantic Models of Inhabited Interiors Using Laser Scanners and RFID Sensorses
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicationf9ebcf51-c844-4f6e-b2b0-6697f6c9b1f9
relation.isAuthorOfPublication.latestForDiscoveryf9ebcf51-c844-4f6e-b2b0-6697f6c9b1f9
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