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Published in

Copernicus Publications, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, (IV-2/W5), p. 279-283, 2019

DOI: 10.5194/isprs-annals-iv-2-w5-279-2019

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Navigation in Indoor Voxel Models

Journal article published in 2019 by B. Gorte, S. Zlatanova ORCID, F. Fadli
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Postprint: archiving allowed
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Data provided by SHERPA/RoMEO

Abstract

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.