Extracting topological relations between indoor spaces from point clouds

Conference Paper (2017)
Author(s)

H. Tran (University of Melbourne)

K. Khoshelham (University of Melbourne)

A. Kealy (University of Melbourne, Royal Melbourne Institute of Technology University)

Lucía Dìaz-Vilariño (TU Delft - OLD Department of GIS Technology, University of Vigo)

Research Group
OLD Department of GIS Technology
Copyright
© 2017 H. Tran, K. Khoshelham, A. Kealy, L. Díaz-Vilarino
DOI related publication
https://doi.org/10.5194/isprs-annals-IV-2-W4-401-2017
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 H. Tran, K. Khoshelham, A. Kealy, L. Díaz-Vilarino
Research Group
OLD Department of GIS Technology
Volume number
IV-2/W4
Pages (from-to)
401-406
Reuse Rights

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Abstract

3D models of indoor environments are essential for many application domains such as navigation guidance, emergency management and a range of indoor location-based services. The principal components defined in different BIM standards contain not only building elements, such as floors, walls and doors, but also navigable spaces and their topological relations, which are essential for path planning and navigation. We present an approach to automatically reconstruct topological relations between navigable spaces from point clouds. Three types of topological relations, namely containment, adjacency and connectivity of the spaces are modelled. The results of initial experiments demonstrate the potential of the method in supporting indoor navigation.