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Building Modeling

  • Martin Werner
Chapter

Abstract

Indoor positioning systems often have expected errors of a few meters. While these values are quite good, the indoor environment often changes within this scale. Two rooms can be quite far from each other while the distance between the nearest points in both rooms is smaller than 1 m. Hence, a multitude of information (building, rooms, hallways, etc.) about buildings is typically needed to provide sensible location information for successful services. This chapter, therefore, explains building modeling and integrates basic algorithms for vector graphics and raster graphics, environmental models, navigation graphs, and location modeling. Furthermore, two approaches to standardization of environmental information for indoor location-based services are outlined: City GML and IndoorOSM.

Keywords

Environmental Model Range Query Query Point Atomic Place Query Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Martin Werner
    • 1
  1. 1.Ludwig-Maximilians-Universität MünchenMunichGermany

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