Sensors 2012, 12(5), 5705-5724; doi:10.3390/s120505705
Article

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

1,2,* email, 2email and 1email
Received: 22 March 2012; in revised form: 16 April 2012 / Accepted: 2 May 2012 / Published: 3 May 2012
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Abstract: This 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.
Keywords: 3D modeling; RFID; laser scanner; 3D data processing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Valero, E.; Adan, A.; Cerrada, C. Automatic Construction of 3D Basic-Semantic Models of Inhabited Interiors Using Laser Scanners and RFID Sensors. Sensors 2012, 12, 5705-5724.

AMA Style

Valero E, Adan A, Cerrada C. Automatic Construction of 3D Basic-Semantic Models of Inhabited Interiors Using Laser Scanners and RFID Sensors. Sensors. 2012; 12(5):5705-5724.

Chicago/Turabian Style

Valero, Enrique; Adan, Antonio; Cerrada, Carlos. 2012. "Automatic Construction of 3D Basic-Semantic Models of Inhabited Interiors Using Laser Scanners and RFID Sensors." Sensors 12, no. 5: 5705-5724.


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