Abstract
IndoorGML, a draft standard of the Open Geospatial Consortium (OGC), defines an information model for indoor space based on the requirements of indoor navigation. IndoorGML allows to represent, manage, and store different infrastructures of the indoor environment in primal (volumetric and boundary geometries) and dual (graph model) spaces along with semantic information. Furthermore, it provides a sound mathematical framework to derive, use, and manage parallel and hierarchical graph structures (layers) based on the different contextual considerations for the purpose of indoor navigation and information services. IndoorGML is not tightly coupled with a specific type of semantic 3D building model. Instead, existing standards for semantic 3D building models from the Building Information Modeling (BIM) and Topography Information Modeling (TIM) domains, namely the Industry Foundation Classes (IFC) and the City Geography Markup Language (CityGML) can be used in combination with IndoorGML. IndoorGML provides a unique platform for existing 3D semantic building models to integrate, manage, and to extend their horizon of applications with the other indoor thematic context spaces, e.g., sensor space. Therefore, there is a need to investigate the potential of integrating these different semantic building models with the IndoorGML model. This investigation goes beyond the conversion from one schema to the other; it also includes the concept of automatically deriving correct navigation structures for the indoor navigation with different types of locomotion. In this work, we describe a multi-step transformation process to automatically generate IndoorGML datasets from existing indoor building model data given in either IFC or CityGML LoD4. Moreover, we address semantic transformations, geometric transformations, topologic analyses, and spatial reasoning in order to derive navigation structures for the different types of locomotion. We tested our methods with a complex public building. In addition to the description of our conceptual work, this paper documents the lessons we learned from this test.
Original language | English |
---|---|
State | Published - 2014 |
Event | 9th 3DGeoInfo Conference 2014 - Dubai, United Arab Emirates Duration: 11 Nov 2014 → 13 Nov 2014 |
Conference
Conference | 9th 3DGeoInfo Conference 2014 |
---|---|
Country/Territory | United Arab Emirates |
City | Dubai |
Period | 11/11/14 → 13/11/14 |