We summarize the history and state of the art in Convolutional Neural Networks (CNNs), which constitute a significant advancement in pattern recognition. As a demonstration of capability, we address the problem of automatic aircraft identification during refueling approach. In this paper we describe the history of CNN development and provide a high level overview of the state of the art and a summary of leading CNN libraries with CUDA support. Finally, we demonstrate an application of CNN technology to autonomous aerial refueling and identify areas of follow-on research.


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    Title :

    Toward aircraft recognition with convolutional neural networks


    Contributors:


    Publication date :

    2016-07-01


    Size :

    648942 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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