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Proceedings Paper

Smelting Networks For Real Time Cooperative Planning In The Presence Of Uncertainties
Author(s): S. Sitharama Iyengar; Sandeep Gulati; Jacob Barhen
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Paper Abstract

This paper discusses the applicability and limitations of the conventional knowledge representations and Al paradigms in designing algorithms for multi-sensor fusion for the uncertainty prone multiple target tracking (MTT) problem. A knowledge-based framework for solution to this problem necessitates developing mechansims for efficient online knowledge acquisition and exploration of alternate knowledge representations as the existing structures prove inadequate in this context. In this paper we describe the use of Smelting Networks for knowledge acquisition, target state representation, resolution of sensor ambiguities and environmental uncertainties. These networks are drawn from a biological cooperative phenomenon and used to enrapture situational constraints, determine track-to-target associations and avoid generation of redundant associations for trajectory estimation.

Paper Details

Date Published: 29 March 1988
PDF: 8 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947023
Show Author Affiliations
S. Sitharama Iyengar, Louisiana State University (United States)
Sandeep Gulati, Louisiana State University (United States)
Jacob Barhen, OAK Ridge National Laboratory (United States)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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