@conference {Benini2012735,
	title = {A Biased Extended Kalman Filter for indoor localization of a mobile agent using low-cost IMU and UWB wireless sensor network},
	booktitle = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
	year = {2012},
	note = {cited By 0},
	pages = {735-740},
	abstract = {Indoor localization of mobile agents using wireless technologies is becoming very important in military and civil applications. This paper introduces an approach for the indoor localization of a mobile agent based on Ultra-WideBand technology using a Biased Extended Kalman Filter (EKF) as a possible technique to improve the localization. The proposed approach allows to use a low-cost IMU (inertial measurement unit) which performances are improved by a calibration procedure. The obtained results show that the filter allows to obtain better result in terms of localization due to the estimation of bias and scale factor. {\textcopyright} 2012 IFAC.},
	doi = {10.3182/20120905-3-HR-2030.00144},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84880993407\&partnerID=40\&md5=c8d42599e5ee04e0b909b6265235c723},
	author = {Benini, A. and Adriano Mancini and Marinelli, A. and Sauro Longhi}
}
