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ISPRS Int. J. Geo-Inf. 2015, 4(2), 989-1012; doi:10.3390/ijgi4020989

Modelling of Building Interiors with Mobile Phone Sensor Data

1
Nottingham Geospatial Institute, University of Nottingham, Triumph Road, Nottingham NG7 2TU, UK
2
Ordnance Survey, Explorer House, Adanac Drive, Southampton SO16 0AS, UK
3
Horizon Digital Economy Research, University of Nottingham, Triumph Road, Nottingham NG7 2TU, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 8 April 2015 / Accepted: 27 May 2015 / Published: 12 June 2015
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Abstract

Creating as-built plans of building interiors is a challenging task. In this paper we present a semi-automatic modelling system for creating residential building interior plans and their integration with existing map data to produce building models. Taking a set of imprecise measurements made with an interactive mobile phone room mapping application, the system performs spatial adjustments in accordance with soft and hard constraints imposed on the building plan geometry. The approach uses an optimisation model that exploits a high accuracy building outline, such as can be found in topographic map data, and the building topology to improve the quality of interior measurements and generate a standardised output. We test our system on building plans of five residential homes. Our evaluation shows that the approach enables construction of accurate interior plans from imprecise measurements. The experiments report an average accuracy of 0.24 m, close to the 0.20 m recommended by the CityGML LoD4 specification. View Full-Text
Keywords: building; geometry; surveying; mapping; modelling building; geometry; surveying; mapping; modelling
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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. (CC BY 4.0).

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MDPI and ACS Style

Rosser, J.; Morley, J.; Smith, G. Modelling of Building Interiors with Mobile Phone Sensor Data. ISPRS Int. J. Geo-Inf. 2015, 4, 989-1012.

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ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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