Skip to main content
Springer Nature Link
Log in

The iNAV Indoor Navigation System

  • Conference paper
Ubiquitous Computing Systems (UCS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4836))

Included in the following conference series:

Abstract

COMPASS is a location framework where location sources are realized as plugins that contribute probability density functions to the overall localization result. In addition, COMPASS uses a decentralized location-based service discovery based on Peer-2-Peer distributed hashtables to retrieve semantical data on the determined position. In order to demonstrate the usefulness of COMPASS as a localization middleware, we have developed iNAV, an indoor navigation system that makes extensive use of the previously described mechanisms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Borriello, G., Chalmers, M., LaMarca, A., Nixon, P.: Delivering real-world ubiquitous location systems. Commun. ACM 48, 36–41 (2005)

    Article  Google Scholar 

  2. Kargl, F., Bernauer, A.: The compass location system. In: Strang, T., Linnhoff-Popien, C. (eds.) LoCA 2005. LNCS, vol. 3479, Springer, Heidelberg (2005)

    Google Scholar 

  3. Kargl, F., Dannhäuser, G., Schlott, S., Nagler-Ihlein, J.: Semantic information retrieval in the compass location system. In: Youn, H.Y., Kim, M., Morikawa, H. (eds.) UCS 2006. LNCS, vol. 4239, Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Wendlandt, K., Ouhmich, A., Angermann, M., Robertson, P.: Implementation of soft location on mobile devices. In: InLoc 2002. International Symposium on Indoor Localisation and Position Finding, Bonn, Germany (2002)

    Google Scholar 

  5. Roos, T., Myllymki, P., Tirri, H., Misikangas, P., Sievnen, J.: A Probabilistic Approach to WLAN User Location Estimation. International Journal of Wirelesse Information Networks 9(3), 155–164 (2002)

    Article  Google Scholar 

  6. Rehrl, K., Göll, N., Leitinger, S., Bruntsch, S.: Combined indoor/outdoor Smartphone navigation for public transport travellers. In: Proceedings of the 3rd Symposium on LBS & TeleCartography 2005, pp. 235–239 (2005)

    Google Scholar 

  7. Schmidt-Belz, B., Hermann, F.: User validation of a nomadic exhibition guide. In: Mobile HCI, pp. 86–97 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Ulm University, Institute of Media Informatics,  

    Frank Kargl, Sascha Geßler & Florian Flerlage

Authors
  1. Frank Kargl
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sascha Geßler
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Florian Flerlage
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Haruhisa Ichikawa We-Duke Cho Ichiro Satoh Hee Yong Youn

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kargl, F., Geßler, S., Flerlage, F. (2007). The iNAV Indoor Navigation System. In: Ichikawa, H., Cho, WD., Satoh, I., Youn, H.Y. (eds) Ubiquitous Computing Systems. UCS 2007. Lecture Notes in Computer Science, vol 4836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76772-5_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-76772-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76771-8

  • Online ISBN: 978-3-540-76772-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics