Multi-sensor fusion through adaptive bayesian networks

Authors:
Alessandra De Paola;Salvatore Gaglio;Giuseppe Lo Re;Marco Ortolani
Affiliations:
University of Palermo, Palermo, Italy;University of Palermo, Palermo, Italy;University of Palermo, Palermo, Italy;University of Palermo, Palermo, Italy
Venue:
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Year:
2011

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Abstract

Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-off between performance and cost, by adapting the operating mode of the underlying sensory devices. Moreover, self-configuration of the nodes providing the evidence to the Bayesian network is carried out by means of an on-line multi-objective optimization.