Generating Navigation Models from Existing Building Data
Research on indoor navigation models mainly focuses on geometric and logical models .The models are enriched with specific semantic information which supports localisation, navigation and guidance. Geometric models provide information about the structural (physical) distribution of spaces in a build...
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2013-11-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-ceaa3a8692db4093b1f76ea32d2a63222020-11-25T01:00:41ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-11-01XL-4/W4192510.5194/isprsarchives-XL-4-W4-19-2013Generating Navigation Models from Existing Building DataL. Liu0S. Zlatanova1GIS Technology, OTB-Research for the Built Environment, Faculty of Architecture and the built Environment, delft University of Technology, Jaffalaan 9, 2628BX, Delft, the NetherlandsGIS Technology, OTB-Research for the Built Environment, Faculty of Architecture and the built Environment, delft University of Technology, Jaffalaan 9, 2628BX, Delft, the NetherlandsResearch on indoor navigation models mainly focuses on geometric and logical models .The models are enriched with specific semantic information which supports localisation, navigation and guidance. Geometric models provide information about the structural (physical) distribution of spaces in a building, while logical models indicate relationships (connectivity and adjacency) between the spaces. In many cases geometric models contain virtual subdivisions to identify smaller spaces which are of interest for navigation (e.g. reception area) or make use of different semantics. The geometric models are used as basis to automatically derive logical models. However, there is seldom reported research on how to automatically realize such geometric models from existing building data (as floor plans) or indoor standards (<i>CityGML LOD4</i> or <i>IFC</i>). <br><br> In this paper, we present our experiments on automatic creation of logical models from floor plans and <i>CityGML LOD4</i>. For the creation we adopt the <i>Indoor Spatial Navigation Model (INSM)</i> which is specifically designed to support indoor navigation. The semantic concepts in <i>INSM</i> differ from daily used notations of indoor spaces such as <i>rooms</i> and <i>corridors</i> but they facilitate automatic creation of logical models.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W4/19/2013/isprsarchives-XL-4-W4-19-2013.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
L. Liu S. Zlatanova |
spellingShingle |
L. Liu S. Zlatanova Generating Navigation Models from Existing Building Data The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
L. Liu S. Zlatanova |
author_sort |
L. Liu |
title |
Generating Navigation Models from Existing Building Data |
title_short |
Generating Navigation Models from Existing Building Data |
title_full |
Generating Navigation Models from Existing Building Data |
title_fullStr |
Generating Navigation Models from Existing Building Data |
title_full_unstemmed |
Generating Navigation Models from Existing Building Data |
title_sort |
generating navigation models from existing building data |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2013-11-01 |
description |
Research on indoor navigation models mainly focuses on geometric and logical models .The models are enriched with specific
semantic information which supports localisation, navigation and guidance. Geometric models provide information about the
structural (physical) distribution of spaces in a building, while logical models indicate relationships (connectivity and adjacency)
between the spaces. In many cases geometric models contain virtual subdivisions to identify smaller spaces which are of interest for
navigation (e.g. reception area) or make use of different semantics. The geometric models are used as basis to automatically derive
logical models. However, there is seldom reported research on how to automatically realize such geometric models from existing
building data (as floor plans) or indoor standards (<i>CityGML LOD4</i> or <i>IFC</i>).
<br><br>
In this paper, we present our experiments on automatic creation of logical models from floor plans and <i>CityGML LOD4</i>. For the
creation we adopt the <i>Indoor Spatial Navigation Model (INSM)</i> which is specifically designed to support indoor navigation. The
semantic concepts in <i>INSM</i> differ from daily used notations of indoor spaces such as <i>rooms</i> and <i>corridors</i> but they facilitate
automatic creation of logical models. |
url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W4/19/2013/isprsarchives-XL-4-W4-19-2013.pdf |
work_keys_str_mv |
AT lliu generatingnavigationmodelsfromexistingbuildingdata AT szlatanova generatingnavigationmodelsfromexistingbuildingdata |
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