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

Record link:

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

Title:

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

Citation:

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

reposiTUm DOI:

10.34726/lbs2019.39

CatalogPlus:

AC15512999

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

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

Organisational Unit:

E120 - Department für Geodäsie und Geoinformation

Date (published):

2019

Publisher:

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.

License:

CC BY 4.0