‘Spatial information infrastructures for indoor environments’
Today, since positioning outdoors is settled and possible using Global Navigational Satellite Systems (GNSS), indoor positioning is still a challenge. There are different technologies available (e.g. Wi-Fi, RFID, Bluetooth Low Energy or Ultra Wide Band), but none of them really established itself. While today every cell phone is equipped with GPS and/or GLONASS for outdoor positioning, no such ubiquitous system is established for the indoors.
Additionally, the raw positioning data (regardless of the technology used) has to be brought into context, which, for the indoors, is the building itself (in 2D/3D). Thus, the goal of the thesis was the design and validation of a framework to combine 3D and real-time indoor positioning.
Therefore, a semantically harmonized infrastructure for building models was defined, including a workflow to (semi-)automatically create building models as context for the indoor positioning. The indoor positioning itself was implemented using a Complex Event Processing (CEP) technology (see also thesis of Christian Feil).
For communication/visualization of positioning data in a building context, a 2D web map and a 3D visualization were used. The proposed Indoor SDI concept including the visualization was successfully validated with a prototype.