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AuthorGorte B.
AuthorZlatanova S.
AuthorFadli F.
Available date2020-03-18T10:47:17Z
Publication Date2019
Publication NameISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
CitationGorte, 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.
ISSN21949042
URIhttp://dx.doi.org/10.5194/isprs-annals-IV-2-W5-279-2019
URIhttp://hdl.handle.net/10576/13436
AbstractThe 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
Languageen
PublisherCopernicus GmbH
Subject3D building models
Subject3d reconstruction
Subjectindoor navigation
Subjectvoxel models
TitleNAVIGATION IN INDOOR VOXEL MODELS
TypeConference Paper
Pagination279-283
Issue Number2/W5
Volume Number4


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