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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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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