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Proceedings Paper

Model-theoretic framework for sensor data fusion
Author(s): Kyriakos P. Zavoleas; Mieczyslaw M. Kokar
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Paper Abstract

The main goal of our research in sensory data fusion (SDF) is the development of a systematic approach (a methodology) to designing systems for interpreting sensory information and for reasoning about the situation based upon this information and upon available data bases and knowledge bases. To achieve such a goal, two kinds of subgoals have been set: (1) develop a theoretical framework in which rational design/implementation decisions can be made, and (2) design a prototype SDF system along the lines of the framework. Our initial design of the framework has been described in our previous papers. In this paper we concentrate on the model-theoretic aspects of this framework. We postulate that data are embedded in data models, and information processing mechanisms are embedded in model operators. The paper is devoted to analyzing the classes of model operators and their significance in SDF. We investigate transformation abstraction and fusion operators. A prototype SDF system, fusing data from range and intensity sensors, is presented, exemplifying the structures introduced. Our framework is justified by the fact that it provides modularity, traceability of information flow, and a basis for a specification language for SDF.

Paper Details

Date Published: 3 September 1993
PDF: 12 pages
Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993); doi: 10.1117/12.155078
Show Author Affiliations
Kyriakos P. Zavoleas, Northeastern Univ. (United States)
Mieczyslaw M. Kokar, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 1956:
Sensor Fusion and Aerospace Applications
Jake K. Aggarwal; Nagaraj Nandhakumar, Editor(s)

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