Abstract

Abstract. With recent progress of mobile devices and indoor positioning technologies, it becomes possible to provide location-based services in indoor space as well as outdoor space. It is in a seamless way between indoor and outdoor spaces or in an independent way only for indoor space. However, we cannot simply apply spatial models developed for outdoor space to indoor space due to their differences. For example, coordinate reference systems are employed to indicate a specific position in outdoor space, while the location in indoor space is rather specified by cell number such as room number. Unlike outdoor space, the distance between two points in indoor space is not determined by the length of the straight line but the constraints given by indoor components such as walls, stairs, and doors. For this reason, we need to establish a new framework for indoor space from fundamental theoretical basis, indoor spatial data models, and information systems to store, manage, and analyse indoor spatial data. In order to provide this framework, an international standard, called IndoorGML has been developed and published by OGC (Open Geospatial Consortium). This standard is based on a cellular notion of space, which considers an indoor space as a set of non-overlapping cells. It consists of two types of modules; core module and extension module. While core module consists of four basic conceptual and implementation modeling components (geometric model for cell, topology between cells, semantic model of cell, and multi-layered space model), extension modules may be defined on the top of the core module to support an application area. As the first version of the standard, we provide an extension for indoor navigation.

Highlights

  • We spend most of our daily life in indoor space, which becomes more complex and huge due to urbanization and high density of population but limited territory

  • While coordinate reference system is widely used for outdoor space in the assumption of Euclidean space, it is inappropriate for most applications of indoor spatial information

  • We found that it would be required to establish a new framework for indoor space including spatial theory, indoor spatial data model, and indoor spatial information systems

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Summary

INTRODUCTION

We spend most of our daily life in indoor space, which becomes more complex and huge due to urbanization and high density of population but limited territory It means that spatial information in indoor space is crucial in location-based services as in outdoor space. We should take into account obstacles or constraints in indoor space to measure the distance in indoor space From these observations, we found that it would be required to establish a new framework for indoor space including spatial theory, indoor spatial data model, and indoor spatial information systems. This standard consists of four basic features to describe indoor cellular space; geometry and semantics of indoor cells, topology between indoor cells, and multi-layered space model This extended abstract paper explains the basic concepts of IndoorGML with these four features.

BACKGROUND
CELLULAR INDOOR SPACE MODEL
Cell Geometry
Topology between cells
Cell Semantics
Multi-Layered Space Model
CONCLUSION
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