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Proceedings Paper

Pulse-coupled neural networks for cruise missile guidance and mission planning
Author(s): Joakim T. A. Waldemark; Vlatko Becanovic; Thomas Lindblad; Clark S. Lindsey; Karina E. Waldemark; Jason M. Kinser
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Paper Abstract

Mission planning and missile navigation control are important tasks to solve when dealing with cruise missiles. A large variation of solutions has been used all the way back to world war II and the German VI missile. Today, biologically inspired sensor analysis systems such as, e.g. pulsed coupled neural networks (PCNN), can be used in many different applications related to these two major tasks, mission planing and missile navigation. This paper discusses generally the cruise missile related problems and gives example on how they are being solved. New ideas as shown on how to use PCNN in combination with other image processing transforms, e.g. the radon transform, to solve the planning and navigation problems. This includes solving tasks such as image segmentation, target identification and maze navigation.

Paper Details

Date Published: 22 March 1999
PDF: 10 pages
Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); doi: 10.1117/12.343034
Show Author Affiliations
Joakim T. A. Waldemark, Royal Institute of Technology (Sweden)
Vlatko Becanovic, Royal Institute of Technology (Sweden)
Thomas Lindblad, Royal Institute of Technology (Sweden)
Clark S. Lindsey, Royal Institute of Technology (Sweden)
Karina E. Waldemark, Royal Institute of Technology (Sweden)
Jason M. Kinser, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 3728:
Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks
Thomas Lindblad; Mary Lou Padgett; Jason M. Kinser, Editor(s)

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