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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Toward aircraft recognition with convolutional neural networks


    Beteiligte:
    Mash, Robert (Autor:in) / Becherer, Nicholas (Autor:in) / Woolley, Brian (Autor:in) / Pecarina, John (Autor:in)


    Erscheinungsdatum :

    01.07.2016


    Format / Umfang :

    648942 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Aircraft Diagnostics Using Convolutional Neural Networks

    Mika, Dariusz / Jozwik, Jerzy / Tofil, Arkadiusz et al. | IEEE | 2024


    Convolutional Neural Networks for Aircraft Noise Monitoring

    Heller, Nicholas / Anderson, Derek / Baker, Matt et al. | ArXiv | 2018

    Freier Zugriff

    Automated Vehicle Recognition with Deep Convolutional Neural Networks

    Adu-Gyamfi, Yaw Okyere / Asare, Sampson Kwasi / Sharma, Anuj et al. | Transportation Research Record | 2017



    Convolutional Neural Networks for Traffic Sign Recognition

    Wei, Zhonghua / Gu, Heng / Zhang, Ran et al. | TIBKAT | 2021