Abstract
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.
Highlights
In recent years, with the development and popularization of wireless communication, perceived positioning and internet technology, location-based services have a lot of applications in traffic, logistics, emergency response and people's daily life
Explicit representation of indoor location information consisting of indoor geometric location and semantic location is presented based on the IndoorGML standard, and the model proposed in this paper integrates the semantic relative location information such as semantic direction and semantic distance to construct an indoor space model suitable for positioning, navigation and route planning
In indoor space location model (ISLM), the GeometryLocation allows to define a cell in geographic space that is measured with respect to a standard coordinate system, which is decided by StartLocation and EndLocation represented by geometric coordinate information, such as (X1, Y1, Z1) and (X2, Y2, Z2) coordinate
Summary
With the development and popularization of wireless communication, perceived positioning and internet technology, location-based services have a lot of applications in traffic, logistics, emergency response and people's daily life. IndoorGML is a standard data model to represent, store and exchange indoor spatial information, which contains the geometric, topological and a small amount of semantic information of the indoor spatial unit, but lacks the description of location-related semantic location information such as "upstairs", "downstairs" and "opposite". Explicit representation of indoor location information consisting of indoor geometric location and semantic location is presented based on the IndoorGML standard, and the model proposed in this paper integrates the semantic relative location information such as semantic direction and semantic distance to construct an indoor space model suitable for positioning, navigation and route planning. The rest of the paper is organized as follows: section 2 reviews recent research progress on modeling locations.
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