Topology and Semantic based Automatic Indoor Space Subdivision from 2D Floor Plan

Kwon, Sun; Kim, Hyun-Jung; Yu, Ki-yun

doi:10.34726/lbs2019.39

Datensatz Zitierlink:

https://doi.org/10.34726/lbs2019.39
http://hdl.handle.net/20.500.12708/318

Titel:

Topology and Semantic based Automatic Indoor Space Subdivision from 2D Floor Plan

Zitat:

Kwon, S., Kim, H.-J., & Yu, K. (2019). Topology and Semantic based Automatic Indoor Space Subdivision from 2D Floor Plan. In G. Gartner & H. Huang (Eds.), LBS 2019 : Adjunct Proceedings of the 15th International Conference on Location-Based Services. Wien. https://doi.org/10.34726/lbs2019.39

reposiTUm-DOI:

10.34726/lbs2019.39

CatalogPlus:

AC15512999

Publikationstyp:

Konferenzbeitrag - Full-Paper Contribution

Sprache:

Englisch

Autor_innen:

Kwon, Sun
Kim, Hyun-Jung
Yu, Ki-yun

Erschienen in:

LBS 2019 : Adjunct Proceedings of the 15th International Conference on Location-Based Services

Datum (veröffentlicht):

2019

Veranstaltungsname:

15th International Conference on Location-Based Services

Veranstaltungszeitraum:

11-Nov-2019 - 13-Nov-2019

Veranstaltungsort:

Wien, Österreich

Umfang:

Verlag:

Wien

Keywords:

Indoor; Space Syntax; Subdivision; IndoorGML

Abstract:

As indoor space becomes wider and more complicated, the need for indoor space information is increasing. In Korea, since 2013, indoor spatial data are being constructed based on IndoorGML, an international standard for indoor navigation in Open Geospatial Consortium (OGC). When building an indoor spatial data based on IndoorGML, it is necessary to divide space appropriately in order to construct more sophisticated indoor network. In this paper, we proposed the indoor space subdivision algorithm to consider the most important connectivity when building indoor spatial data in IndoorGML standard.

Lizenz:

CC BY 4.0