Indoor Multi-Dimensional Location GML and Its Application for Ubiquitous Indoor Location Services

Journal article (2016)

Authors

Qing Zhu Southwest Jiaotong University
Yun Li Southwest Jiaotong University
Qing Xiong Wuhan University
S. Zlatanova Urban Data Science - Architecture and the Built Environment
Yulin Ding Southwest Jiaotong University
Yeting Zhang Wuhan University
Yan Zhou University of Electric Science and Technology of China, Chengdu
Research Group
Urban Data Science (Architecture and the Built Environment) (TU Delft)
Copyright: © 2016 Qing Zhu, Yun Li, Qing Xiong, S. Zlatanova, Yulin Ding, Yeting Zhang, Yan Zhou
DOI
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https://doi.org/10.3390/ijgi5120220
Navigation Standard Indoor location Location-based service
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Published Date

2016

Language

English

Faculty

Architecture and the Built Environment

Department

Urbanism

Research Group

Urban Data Science

Abstract

The Open Geospatial Consortium (OGC) Geography Markup Language (GML) standard provides basic types and a framework for defining geo-informational data models such as CityGML and IndoorGML, which provide standard information models for 3D city modelling and lightweight indoor network navigation. Location information, which is the semantic engine that fuses big geo-information data, is however, discarded in these standards. The Chinese national standard of Indoor Multi-Dimensional Location GML (IndoorLocationGML) presented in this study can be used in ubiquitous indoor location intelligent applications for people and robots. IndoorLocationGML is intended as an indoor multi-dimensional location information model and exchange data format standard, mainly for indoor positioning and navigation. This paper introduces the standard’s main features: (1) terminology; (2) indoor location information model using a Unified Modeling Language (UML) class diagram; (3) indoor location information markup language based on GML; and (4) use cases. A typical application of the standard is then discussed. This standard is applicable to the expression, storage, and distribution of indoor multi-dimensional location information, and to the seamless integration of indoor–outdoor location information. The reference and basis are therefore relevant to publishers, managers, users, and developers of indoor navigation and location-based services (LBS)