Abstract
Owl Positioning System (OwlPS) is an indoor positioning system based on the IEEE 802.11 radio network (Wi-Fi). Since 2004, our team OMNI develops and experiments various techniques (both from the literature and from our own work) for indoor and outdoor positioning. We mainly exploit signal strength fingerprinting and indoor propagation models, helped by information such as the building’s map, the mobile’s path, etc. The latest version of the system (v1.2) includes a self-calibration mechanism, that avoids the time-consuming manual fingerprinting phase and allows taking into account dynamically the changes of the environment (human, climatic, etc.) when computing the location of the mobile terminals.
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References
Interlink Networks, Inc.: A practical approach to identifying and tracking unauthorized 802.11 cards and access points. Technical report (2002)
Lassabe, F., Baala, O., Canalda, P., Chatonnay, P., Spies, F.: A Friis-based calibrated model for WiFi terminals positioning. In: Proceedings of IEEE Int. Symp. on a World of Wireless, Mobile and Multimedia Networks, Taormina, Italy, pp. 382–387 (June 2005)
Bahl, P., Padmanabhan, V.N.: RADAR: An in-building RF-based user location and tracking system. In: INFOCOM (2), pp. 775–784 (2000)
Radiotap website, http://www.radiotap.org/
Radiotap on Linux Wireless website, http://linuxwireless.org/en/developers/Documentation/radiotap
Cypriani, M., Lassabe, F., Canalda, P., Spies, F.: Open Wireless Positionning System: a Wi-Fi-based indoor positionning system. In: VTC-fall 2009, 70th IEEE Vehicular Technologie Conference, Anchorage, Alaska. IEEE Vehicular Technology Society (September 2009)
Lassabe, F., Canalda, P., Chatonnay, P., Spies, F.: Indoor Wi-Fi positioning: Techniques and systems. Annals of Telecommunications 64(9/10), 651–664 (2009)
Lassabe, F., Charlet, D., Canalda, P., Chatonnay, P., Spies, F.: Refining WiFi indoor positionning renders pertinent deploying location-based multimedia guide. In: Procs of IEEE 20th Int. Conf. on Advanced Information Networking and Applications, Vienna, Austria, vol. 2, pp. 126–130 (2006)
Cypriani, M., Canalda, P., Lassabe, F., Spies, F.: Wi-Fi-based indoor positioning: Basic techniques, hybrid algorithms and open software platform. In: Mautz, R., Kunz, M., Ingensand, H. (eds.) IPIN 2010, IEEE Int. Conf. on Indoor Positioning and Indoor Navigation, Session WLAN RSS (Signal Strength Based Methods), Fingerprinting, ETH Zurich, Campus Science City (Hoenggerberg), Switzerland, pp. 116–125 (September 2010)
Bahl, P., Balachandran, A., Padmanabhan, V.: Enhancements to the RADAR user location and tracking system. Technical report, Microsoft Research (February 2000)
MadWifi website, http://www.madwifi-project.org/
Cypriani, M., Canalda, P., Zirari, S., Lassabe, F., Spies, F.: Open Wireless Positioning System, version 0.8. Technical Report RT2008-02, LIFC - Laboratoire d’Informatique de l’Université de Franche Comté (December 2008)
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Cypriani, M., Canalda, P., Spies, F. (2012). OwlPS: A Self-calibrated Fingerprint-Based Wi-Fi Positioning System. In: Chessa, S., Knauth, S. (eds) Evaluating AAL Systems Through Competitive Benchmarking. Indoor Localization and Tracking. EvAAL 2011. Communications in Computer and Information Science, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33533-4_4
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DOI: https://doi.org/10.1007/978-3-642-33533-4_4
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