Volume XLII-4/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W7, 49-53, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W7-49-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W7, 49-53, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W7-49-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  23 Oct 2017

23 Oct 2017

INDOOR SPACE LOCATION MODEL BASED ON LOCATION SERVICE

Y. Zhou1,2, G. Zeng1, Y. Huang1, and X. Yang3 Y. Zhou et al.
  • 1School of Resources and Environment, University of Electric Science and Technology of China, 2006 Xiyuan Avenue, West Hitech Zone, Chengdu, Sichuan 611731, China
  • 2Institute of Remote Sensing Big Data, Big Data Research Center of University of Electric Science and Technology of China
  • 3Colloge of Earth Sciences, Chengdu University of Technology, Chengdu, 610059, China

Keywords: IndoorGML, Indoor LBS, Geometry, Topology, Semantics, Indoor Space Location Model

Abstract. Location is the basis for the realization of location services, the integrity of the location information and its way of representation in indoor space model directly restricts the quality of location services. The construction of the existing indoor space model is mostly for specific applications and lack of uniform representation of location information. Several geospatial standards have been developed to meet the requirement of the indoor spatial information system, among which CityGML LOD4 and IndoorGML are the most relevant ones for indoor spatial information. However, from the perspective of Location Based Service (LBS), the CityGML LOD4 is more inclined to visualize the indoor space. Although IndoorGML is mainly used for indoor space navigation and has description (such as geometry, topology, and semantics) benefiting for indoor LBS, this standard model lack explicit representation of indoor location information. In this paper, from the perspective of Location Based Service (LBS), based on the IndoorGML standard, an indoor space location model (ISLM) conforming to human cognition is proposed through integration of the geometric and topological and semantic features of the indoor spatial entity. This model has the explicit description of location information which the standard indoor space model of IndoorGML and CityGML LOD4 does not have, which can lay the theoretical foundation for indoor location service such as indoor navigation, indoor routing and location query.