NAVIGATION IN INDOOR VOXEL MODELS
Author | Gorte B. |
Author | Zlatanova S. |
Author | Fadli F. |
Available date | 2020-03-18T10:47:17Z |
Publication Date | 2019 |
Publication Name | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Resource | Scopus |
Citation | Gorte, B., Zlatanova, S., and Fadli, F.: NAVIGATION IN INDOOR VOXEL MODELS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 279–283, https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019, 2019. |
ISSN | 21949042 |
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 |
Language | en |
Publisher | Copernicus GmbH |
Subject | 3D building models 3d reconstruction indoor navigation voxel models |
Type | Conference Paper |
Pagination | 279-283 |
Issue Number | 2/W5 |
Volume Number | 4 |
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Civil and Environmental Engineering [851 items ]