Smelting Networks For Real Time Cooperative Planning In The Presence Of Uncertainties

S. Sitharama Iyengar; Sandeep Gulati; Jacob Barhen

doi:10.1117/12.947023

29 March 1988 Smelting Networks For Real Time Cooperative Planning In The Presence Of Uncertainties

S. Sitharama Iyengar, Sandeep Gulati, Jacob Barhen

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.947023
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

S. Sitharama Iyengar, Sandeep Gulati, and Jacob Barhen "Smelting Networks For Real Time Cooperative Planning In The Presence Of Uncertainties", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.947023

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KEYWORDS

Sensors

Artificial intelligence

Knowledge acquisition

Target detection

Surveillance

Surveillance systems

Target acquisition

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