Data Fusion Framework: concurrent architecture for real-time processing
by Stefano Laoreti, Davide Renzi, Raffaele Parisi, Aurelio Uncini
International Journal of Information and Communication Technology (IJICT), Vol. 1, No. 3/4, 2008

Abstract: In the last few decades, a new way of interpreting multi-sensor array processing techniques and artificial intelligence systems has been introduced. This theory focuses on interactions and fusion between heterogeneous/homogeneous information at different layers in order to guarantee data completeness and robust resolution of hard-to-solve problems. Our research investigates this theory, well known as Data Fusion (DF). In this paper, we present an operating framework that permits DF during the elaboration flow at different levels of computation. We focused our attention on several key aspects of real-time implementation.

Online publication date: Mon, 23-Mar-2009

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