Abstract
Abstract. Indoor spatial data forms an important foundation to many ubiquitous computing applications. It gives context to users operating location-based applications, provides an important source of documentation of buildings and can be of value to computer systems where an understanding of environment is required. Unlike external geographic spaces, no centralised body or agency is charged with collecting or maintaining such information. Widespread deployment of mobile devices provides a potential tool that would allow rapid model capture and update by a building's users. Here we introduce some of the issues involved in volunteering building interior data and outline a simple mobile tool for capture of indoor models. The nature of indoor data is inherently private; however in-depth analysis of this issue and legal considerations are not discussed in detail here.
Highlights
Digital modelling of buildings is required for a wide variety of purposes
Indoor spatial models that hybridise geometric and symbolic information offer a promising approach for fulfilling the range of uses required for context-aware applications (Afyouni et al 2011). 3D building models can be used for improving Augmented Reality (AR) systems which benefit from provision of a prior initial scene model (Reitmayr & Drummond, 2006; Thomas et al, 2010)
Putting the user in control of the interior data is a primary motivator for this research and for this we need some form of mobile data capture tool
Summary
Digital modelling of buildings is required for a wide variety of purposes. Architecture, engineering and construction (AEC), navigation, positioning, robotics and emergency management are just some of the disciplines and application areas that have a stake in improving the digital capture, update, management and utilisation of building models. One motivating application for deriving interior models of environments is their use in different positioning and navigation scenarios. This information is useful to firstresponders in emergency situations (Lee, 2007). Indoor spatial models that hybridise geometric and symbolic information offer a promising approach for fulfilling the range of uses required for context-aware applications (Afyouni et al 2011). Indoor spatial models that hybridise geometric and symbolic information offer a promising approach for fulfilling the range of uses required for context-aware applications (Afyouni et al 2011). 3D building models can be used for improving Augmented Reality (AR) systems which benefit from provision of a prior initial scene model (Reitmayr & Drummond, 2006; Thomas et al, 2010)
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