Distances for wifi based topological indoor mapping

@article{Schfermeier2019DistancesFW,
  title={Distances for wifi based topological indoor mapping},
  author={Bastian Sch{\"a}fermeier and Tom Hanika and Gerd Stumme},
  journal={Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services},
  year={2019}
}
  • Bastian Schäfermeier, Tom Hanika, Gerd Stumme
  • Published 2019
  • Computer Science, Mathematics
  • Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
For localization and mapping of indoor environments through WiFi signals, locations are often represented as likelihoods of the received signal strength indicator. Different measures are proposed in the literature for determining the similarity of these likelihoods. They are usually evaluated in studies with specific settings. In this work we compare, in a daily-life setting, various measures of distance between such likelihoods in combination with different methods for estimation and… Expand
1 Citations

References

SHOWING 1-4 OF 4 REFERENCES
RADAR: an in-building RF-based user location and tracking system
  • P. Bahl, V. Padmanabhan
  • Computer Science
  • Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064)
  • 2000
  • 8,230
  • Highly Influential
  • PDF
KL-divergence kernel regression for non-Gaussian fingerprint based localization
  • 57
  • Highly Influential
  • PDF
The Earth Mover's distance is the Mallows distance: some insights from statistics
  • E. Levina, P. Bickel
  • Mathematics, Computer Science
  • Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001
  • 2001
  • 463
  • Highly Influential
  • PDF
Distance measures for signal processing and pattern recognition
  • 589
  • Highly Influential
  • PDF