ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume IV-2/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 279–283, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 279–283, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  29 May 2019

29 May 2019

NAVIGATION IN INDOOR VOXEL MODELS

B. Gorte1, S. Zlatanova1, and F. Fadli2 B. Gorte et al.
  • 1GRID-UNSW, Fac. of Built Environment, Sydney, Australia
  • 2Architecture and Urban Planning (DAUP), College of Engineering, Qatar University, Doha, Qatar

Keywords: 3D building models, indoor navigation, 3d reconstruction, voxel models

Abstract. The paper proposes to use voxel models of building interiors to perform indoor navigation. The algorithms can be purely geometrical, not relying on semantic information about different building elements, such as floors, walls, stairways etc. Therefore, it is possible to use voxel models from different data sources, in addition to vector-to-raster conversions. The paper demonstrates this on the basis of tree different input types: hand measurements, point clouds and images of floorplans. On the basis of these models, the paper shows how to determine the navigable space in a voxel model for a pedestrian actor, and how to compute paths from arbitrary sources to specified destinations.