Modelling of building interiors with mobile phone sensor data

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 a...

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Main Authors: Rosser, Julian, Morley, Jeremy, Smith, Gavin
Format: Article
Published: MDPI 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/29116/
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author Rosser, Julian
Morley, Jeremy
Smith, Gavin
author_facet Rosser, Julian
Morley, Jeremy
Smith, Gavin
author_sort Rosser, Julian
building Nottingham Research Data Repository
collection Online Access
description 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
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spelling nottingham-291162020-05-04T17:10:53Z https://eprints.nottingham.ac.uk/29116/ Modelling of building interiors with mobile phone sensor data Rosser, Julian Morley, Jeremy Smith, Gavin 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 MDPI 2015-06-12 Article PeerReviewed Rosser, Julian, Morley, Jeremy and Smith, Gavin (2015) Modelling of building interiors with mobile phone sensor data. ISPRS International Journal of Geo-Information, 4 (2). pp. 989-1012. ISSN 2220-9964 building; geometry; surveying; mapping; modelling http://www.mdpi.com/2220-9964/4/2/989 doi:10.3390/ijgi4020989 doi:10.3390/ijgi4020989
spellingShingle building; geometry; surveying; mapping; modelling
Rosser, Julian
Morley, Jeremy
Smith, Gavin
Modelling of building interiors with mobile phone sensor data
title Modelling of building interiors with mobile phone sensor data
title_full Modelling of building interiors with mobile phone sensor data
title_fullStr Modelling of building interiors with mobile phone sensor data
title_full_unstemmed Modelling of building interiors with mobile phone sensor data
title_short Modelling of building interiors with mobile phone sensor data
title_sort modelling of building interiors with mobile phone sensor data
topic building; geometry; surveying; mapping; modelling
url https://eprints.nottingham.ac.uk/29116/
https://eprints.nottingham.ac.uk/29116/
https://eprints.nottingham.ac.uk/29116/