ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 401-406, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
14 Sep 2017
EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS
H. Tran1, K. Khoshelham1, A. Kealy1,2, and L. Díaz-Vilariño3,4 1Department of Infrastructure Engineering, University of Melbourne, Parkville 3010, Australia
2School of Science, RMIT University, VIC 3001, Australia
3Applied Geotechnologies Group, Dept. Natural Resources and Environmental Engineering, University of Vigo, Campus Lagoas-Marcosende, CP 36310 Vigo, Spain
4TU Delft – Faculty of Architecture, OTB, section GIS Technology, Delft, the Netherlands
Keywords: Indoor modelling, Point cloud, Indoor navigation, Shape grammar, Topology, Building Information Model (BIM) 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.
Conference paper (PDF, 1949 KB)


Citation: Tran, H., Khoshelham, K., Kealy, A., and Díaz-Vilariño, L.: EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 401-406, https://doi.org/10.5194/isprs-annals-IV-2-W4-401-2017, 2017.

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