Integrating indoorGML and indoor POI data for navigation applications in indoor space

Alexis Richard Claridades, Inhye Park, Jiyeong Lee

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Indoor spatial data has great importance as the demand for representing the complex urban environment in the context of providing LBS (Location-based Services) is increasing. IndoorGML (Indoor Geographic Markup Language) has been established as the data standard for spatial data in providing indoor navigation, but its definitions and relationships must be expanded to increase its applications and to successfully delivering information to users. In this study, we propose an approach to integrate IndoorGML with Indoor POI (Points of Interest) data by extending the IndoorGML notion of space and topological relationships. We consider two cases of representing Indoor POI, by 3D geometry and by point primitive representation. Using the concepts of the NRS (node-relation structure) and multi-layered space representation of IndoorGML, we define layers to separate features that represent the spaces and the Indoor POI into separate, but related layers. The proposed methodology was implemented with real datasets to evaluate its effectiveness for performing indoor spatial analysis.

Original languageEnglish
Pages (from-to)359-366
Number of pages8
JournalJournal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Volume37
Issue number5
DOIs
StatePublished - 2019

Keywords

  • Indoor POI
  • IndoorGML
  • IndoorGML Integration
  • Point of Interest

Fingerprint

Dive into the research topics of 'Integrating indoorGML and indoor POI data for navigation applications in indoor space'. Together they form a unique fingerprint.

Cite this