Abstract
This paper aims at exploring a novel approach for indoor localisation by exploiting data fusion. Specifically, personnel localisation in rescue scenarios is addressed: the key idea is to increase the situation awareness of rescuers. A pedestrian dead reckoning algorithm based on waist mounted inertial sensors is designed to cope with different human activities. The drifting estimate is re-calibrated by using information gathered from the environment. The outcomes of experimental trials performed in a real scenario are reported.
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With the financial support of Directorate General Home Affairs (EC) Grant Home/2010/CIPS/AG/033 REFIRE This publication reflects the views only of the authors, and the European Commission cannot be held responsible for any use which may be made of the information contained therein.
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De Cillis, F., De Simio, F., Inderst, F., Faramondi, L., Pascucci, F., Setola, R. (2016). Improving Situational Awareness for First Responders. In: Panayiotou, C., Ellinas, G., Kyriakides, E., Polycarpou, M. (eds) Critical Information Infrastructures Security. CRITIS 2014. Lecture Notes in Computer Science(), vol 8985. Springer, Cham. https://doi.org/10.1007/978-3-319-31664-2_36
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DOI: https://doi.org/10.1007/978-3-319-31664-2_36
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