Sensor Data Fusion for Location Awareness

Sensor Data Fusion for Location Awareness

O. Sekkas (University of Athens, Greece), S. Hadjiefthymiades (University of Athens, Greece) and E. Zervas (Tei-Athens, Greece)
Copyright: © 2007 |Pages: 7
DOI: 10.4018/978-1-59904-002-8.ch145
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Abstract

During the past few years, several location systems have been proposed that use multiple technologies simultaneously in order to locate a user. One such system is described in this article. It relies on multiple sensor readings from Wi-Fi access points, IR beacons, RFID tags, and so forth to estimate the location of a user. This technique is known better as sensor information fusion, which aims to improve accuracy and precision by integrating heterogeneous sensor observations. The proposed location system uses a fusion engine that is based on dynamic Bayesian networks (DBNs), thus substantially improving the accuracy and precision.

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