Indoor Pedestrian Localization for Mobile Devices - The Model

Jonáš Ševčík


Indoor localization using mobile devices is one of the emerging areas of today’s interest. This paper presents a model for indoor localization based on 802.11 Wi-Fi fingerprinting in combination of inertial navigation running in parallel. We introduce a novel model scheme, where we use a state-of-the-art Compass system. The system is enhanced by clustering and the position calculation is influenced by the distance travelled between each fingerprinting, allowing us to eliminate improbable location estimations. Proposed system is supposed to be resilient to received signal strength blocking caused by a human body, and also to be more accurate than other up-to-date solutions.


  1. Alvarez, D., González, R. C., López, A., Alvarez, J. C., 2006. Comparison of step length estimators from weareable accelerometer devices. In Engineering in Medicine and Biology Society.
  2. Azizyan, M., Constandache, I., Choudhury, R. R., 2009. Surroundsense: mobile phone localization via ambience fingerprinting. In Proceedings of the 15th annual international conference on Mobile computing and networking. ACM.
  3. Bahl, P., Padhye, J., Ravindranath, L., Singh, M., Wolman, A., Zill, B., 2005. Dair: A framework for managing enterprise wireless networks using desktop infrastructure. In HotNets IV.
  4. Bahl, P., Padmanabhan, V. N., 2000. Radar: An inbuilding rf-based user location and tracking system. In INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE.
  5. Cho, S. Y., Park, C. G., 2005. Mems based pedestrian navigation system. In Journal of Navigation.
  6. Dedes, G., Dempster, A. G., 2005. Indoor GPS positioning. In Proceedings of the IEEE Semiannual Vehicular Technology Conference.
  7. Evennou, F., Marx, F., 2006. Advanced integration of WiFi and inertial navigation systems for indoor mobile positioning. In Eurasip journal on applied signal processing.
  8. Foxlin, E., 2005. Pedestrian tracking with shoe-mounted inertial sensors. In Computer Graphics and Applications. IEEE.
  9. Frank, K., Krach, B., Catterall, N., Robertson, P., 2009. Development and evaluation of a combined wlan & inertial indoor pedestrian positioning system. In ION GNSS.
  10. Godha, S., Lachapelle G., Cannon, M. E., 2006. Integrated gps/ins system for pedestrian navigation in a signal degraded environment. In ION GNSS.
  11. Gutmannm J., Schlegel, C., 1996. Amos: Comparison of scan matching approaches for self-localization in indoor environments. In Advanced Mobile Robot. IEEE.
  12. Haeberlen, A., Flannery, E., Ladd, A. M., Rudys, A., Wallach, D., Kavraki, L., 2004. Practical robust localization over large-scale 802.11 wireless networks. In Proceedings of the 10th annual international conference on Mobile computing and networking. ACM.
  13. King, T., Kopf, S., Haenselmann, T., Lubberger, C., Effelsberg, W., 2006. Compass: A probabilistic indoor positioning system based on 802.11 and digital compasses. In Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization. ACM.
  14. Kothari, N., Kannan, B:, Glasgwow, E. D., Dias, B., 2012. Robust indoor localization on a commercial smart phone. In Procedia Computer Science.
  15. Kumar, B. H., Reddy, K. C., Namassivaya, N., 2008. Determination of gps receiver position using multivariate newton-raphson technique for over specified cases. In International Journal of Applied Engineering Research.
  16. Lukianto, C., Sternberg, H., 2011. Stepping: smartphonebased portable pedestrian indoor navigation. MMT.
  17. Martin, E., Vinyals, O., Friedland, G., Bajcsy, R., 2010. Precise indoor localization using smart phones. In Proceedings of the international conference on Multimedia. ACM.
  18. Ojeda, L., Borenstein, J., 2007. Non-gps navigation with the personal dead-reckoning system. In Defense and Security Symposium. International Society for Optics and Photonics.
  19. Serra, A., Carboni, D., Marotto, V., 2010. Indoor pedestrian navigation system using a modern smartphone. In Proceedings of the 12th international conference on Human computer interaction with mobile devices and services. ACM.
  20. Shala, U., Rodriguez, A., 2011. Indoor positioning using sensor-fusion in android devices. Kristianstad University.
  21. Steinhoff, U., Schiele, B., 2010. Dead reckoning from the pocket-an experimental study. In Pervasive Computing and Communications. IEEE.
  22. Storms, W. F., 2009. Magnetic field aided indoor navigation. Technical report, DTIC Document.
  23. Varshavsky, A., de Lara, E., Hightower, J., LaMarca, L., Otsason, V., 2007. Gsm indoor localization. In Pervasive and Mobile Computing.
  24. Ševcík, J., 2013. Pedestrian Localization in Closed Environments. In Environmental Software Systems. Fostering Information Sharing. Springer.
  25. Woodman, O., 2010. Pedestrian localisation for indoor environments. St Catharines College.
  26. Youssef, M., Agrawala, A., 2005. The horus wlan location determination system. In Proceedings of the 3rd international conference on Mobile systems, applications, and services. ACM.
  27. Youssef, M., Agrawala, A., 2006. Location-clustering techniques for wlan location determination systems. International Journal of Computers and Applications.

Paper Citation

in Harvard Style

Ševčík J. (2014). Indoor Pedestrian Localization for Mobile Devices - The Model . In Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014) ISBN 978-989-758-036-9, pages 488-493. DOI: 10.5220/0005104604880493

in Bibtex Style

author={Jonáš Ševčík},
title={Indoor Pedestrian Localization for Mobile Devices - The Model},
booktitle={Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014)},

in EndNote Style

JO - Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014)
TI - Indoor Pedestrian Localization for Mobile Devices - The Model
SN - 978-989-758-036-9
AU - Ševčík J.
PY - 2014
SP - 488
EP - 493
DO - 10.5220/0005104604880493