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.


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    Title :

    Pulse-coupled neural networks for cruise missile guidance and mission planning



    Conference:

    Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks ; 1998 ; Stockholm,Sweden


    Published in:

    Publication date :

    1999-03-22





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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