Enhancing location estimation through data fusion

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Technological Educational Institute of Athens
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2006 (EN)
Enhancing location estimation through data fusion (EN)

Σέκκας, Οδυσσέας (EL)
Χατζηευθυμιάδης, Στάθης Π. (EL)
Ζέρβας, Ευάγγελος (EL)

N/A (EN)

In this paper* we discuss a system that exploits observations derived from sensors, in order to estimate a key factor for pervasive computing and context aware applications: the location of a user. The term "sensors" includes Wi-Fi adapters, IR receivers, etc. The core of the system is the fusion engine which is based on Dynamic Bayesian Networks (DBNs), a powerful mathematical tool for integrating heterogeneous sensor observations. In closing, is provided an evaluation of the system as it comes out from the experimental results. (EN)


Δυναμικά συστήματα (EN)
Estimation (EN)
Αντιδράσεις σύντηξης (EN)
Εκτίμηση (EN)
Inference engines (EN)
Dynamical systems (EN)
Fusion reactions (EN)
Μηχανές συμπερασμού (EN)

ΤΕΙ Αθήνας (EL)
Technological Educational Institute of Athens (EN)

IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC (EN)



DOI: 10.1109/PIMRC.2006.254053


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