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Proceedings Paper

A Distributed Artificial Intelligence Approach To Object Identification And Classification
Author(s): Digvijay I. Sikka; Pramod K. Varshney; Vincent C. Vannicola
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Paper Abstract

This paper presents an application of Distributed Artificial Intelligence (DAI) tools to the data fusion and classification problem. Our approach is to use a blackboard for information management and hypothe-ses formulation. The blackboard is used by the knowledge sources (KSs) for sharing information and posting their hypotheses on, just as experts sitting around a round table would do. The present simulation performs classification of an Aircraft(AC), after identifying it by its features, into disjoint sets (object classes) comprising of the five commercial ACs; Boeing 747, Boeing 707, DC10, Concord and Boeing 727. A situation data base is characterized by experimental data available from the three levels of expert reasoning. Ohio State University ElectroScience Laboratory provided this experimental data. To validate the architecture presented, we employ two KSs for modeling the sensors, aspect angle polarization feature and the ellipticity data. The system has been implemented on Symbolics 3645, under Genera 7.1, in Common LISP.

Paper Details

Date Published: 14 September 1989
PDF: 12 pages
Proc. SPIE 1100, Sensor Fusion II, (14 September 1989); doi: 10.1117/12.960483
Show Author Affiliations
Digvijay I. Sikka, Syracuse University (United States)
Pramod K. Varshney, Syracuse University (United States)
Vincent C. Vannicola, Rome Air Development Center (United States)

Published in SPIE Proceedings Vol. 1100:
Sensor Fusion II
Charles B. Weaver, Editor(s)

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