Volume XL-4/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 75-80, 2015
https://doi.org/10.5194/isprsarchives-XL-4-W5-75-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 75-80, 2015
https://doi.org/10.5194/isprsarchives-XL-4-W5-75-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  11 May 2015

11 May 2015

LEVERAGING SPATIAL MODEL TO IMPROVE INDOOR TRACKING

L. Liu1, W. Xu2, W. Penard3, and S. Zlatanova1 L. Liu et al.
  • 1Delft University of Technology, Julianalaan 134, 2628BL, Delft, the Netherlands
  • 2Fugro Intersite, Dillenburgsingel 69, 2263 HW, Leidschendam, the Netherlands
  • 3CGI Nederland, George Hintzenweg 89, Rotterdam, the Netherlands

Keywords: Spatial Model, Indoor Tracking, Semantics, Topology

Abstract. In this paper, we leverage spatial model to process indoor localization results and then improve the track consisting of measured locations. We elaborate different parts of spatial model such as geometry, topology and semantics, and then present how they contribute to the processing of indoor tracks. The initial results of our experiment reveal that spatial model can support us to overcome problems such as tracks intersecting with obstacles and unstable shifts between two location measurements. In the future, we will investigate more exceptions of indoor tracking results and then develop additional spatial methods to reduce errors of indoor tracks.