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Proceedings Paper

Data fusion multiagent framework
Author(s): Sylvain Gatepaille; Sylvie Brunessaux; Habib Abdulrab
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Paper Abstract

This paper describes a work currently in progress whose aim is to design, develop and evaluate a Multi-Agent Framework for Data Fusion (DFMAF). This is being done with the support of a battlefield surveillance demonstrator application, named TA-10. Through the following chapters, we will describe the benefits of using such a framework for data fusion problems. Firstly, we will briefly present the multi- agent research domain. Then, we will go into further details to describe DFMAF, the multi-agent framework designed to help solving data fusion problems. The appropriateness of DFMAF to data fusion problems will also be pointed out. Next, the implementation and use of DFMAF in the support application will be detailed as well as the assessment procedure followed. Finally, we will conclude and expose the future work which will be done.

Paper Details

Date Published: 3 April 2000
PDF: 8 pages
Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); doi: 10.1117/12.381629
Show Author Affiliations
Sylvain Gatepaille, Matra Systemes & Information (France) and PSI-INSA de Rouen (France)
Sylvie Brunessaux, Matra Systemes & Information (France)
Habib Abdulrab, PSI-INSA de Rouen (France)


Published in SPIE Proceedings Vol. 4051:
Sensor Fusion: Architectures, Algorithms, and Applications IV
Belur V. Dasarathy, Editor(s)

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