Article / Chapter CC BY 4.0
published

Floor plan extraction from digital building models

Affiliation
Chair of Computation in Civil Engineering, Bauhaus-Universität Weimar
Krishnakumar, Subhashini;
GND
142254347
VIAF
123933137
ORCID
0000-0003-0411-8770
Affiliation
Chair of Computation in Civil Engineering, Bauhaus-Universität Weimar
Tauscher, Helga

Interior building data is gaining popularity, but while there is an abundance of exterior data for navigation and other purposes, the availability of indoor data is meagre. This paper presents how simplified indoor data can be extracted from digital building models, which are rich in interior information, and can be converted to formats such as CityGML, IndoorGML, and OpenstreetMap to increase the availability of indoor data.

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Category

Translated title:
Grundrissextraktion aus digitalen Gebäudemodellen (German)
Published in:
FOSSGIS 2023 : Anwenderkonferenz für Freie und Open Source Software für Geoinformationssysteme, Open Data und OpenStreetMap
(2023), p. 146-152
DOI:
10.48711/20231004-005
URN:
urn:nbn:de:0307-20231004-005-1
Language:
English
Type of Resource:
Text
Extent:
1 Online-Ressource (Seite 146-152, 217,44 kB) : 2 Illustrationen, 1 Tabelle, 1 Textdatei (PDF)
Keywords:
Data; database; data processing; interior building data; indoor data; digital building model; Industry Foundation Classes (IFC); CityGML; IndoorGML; OpenStreetMapGND; DatenGND; DatenbankGND; Datenprozessierung; Gebäudeinnendaten; Rauminnendaten; digitales Gebäudemodell
DDC subject of DNB:
520 Astronomy & allied sciences
Link to Context:
https://doi.org/10.5281/zenodo.7576205
Link to Context:
https://pretalx.com/fossgis2023/talk/NBNV3B/
Link to Context:
https://doi.org/10.5446/61170
Hosting institution:
Bauhaus-Universität Weimar
Statement of responsibility:
Subhashini Krishnakumar, Helga Tauscher
Publications:
Another version (other pagination) of this article was published on Zenodo: https://doi.org/10.5281/zenodo.7576205
Bibliographic notes:
Conference presentation: https://pretalx.com/fossgis2023/talk/NBNV3B/
Bibliographic notes:
Video of the presentation (TIB AV-Portal): https://doi.org/10.5446/61170

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