Data Fusion Framework: concurrent architecture for real-time processing

Authors:
Stefano Laoreti;Davide Renzi;Raffaele Parisi;Aurelio Uncini
Affiliations:
Department INFOCOM, University of Rome;SAPIENZA;, Via Eudossiana, 18 – 00184 Rome, Italy.;Department INFOCOM, University of Rome
Venue:
International Journal of Information and Communication Technology
Year:
2008

Citing 1
Cited 1

Sensor and Data Fusion Concepts and Applications

Sensor and Data Fusion Concepts and Applications

Development for granular computing-based multi-agent system for data fusion process

International Journal of Computer Applications in Technology

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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.