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    Titel :

    LiDAR Data Segmentation in Off-Road Environment Using Convolutional Neural Networks (CNN)


    Beteiligte:
    Dabbiru, Lalitha (Autor:in) / Goodin, Chris (Autor:in) / Scherrer, Nicklaus (Autor:in) / Carruth, Daniel (Autor:in)

    Kongress:

    WCX SAE World Congress Experience (Cancelled due to COVID-19)



    Erscheinungsdatum :

    01.01.2020


    Format / Umfang :

    ALL-ALL



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



    LiDAR Data Segmentation in Off-Road Environment Using Convolutional Neural Networks (CNN)

    Goodin, Chris / Carruth, Daniel / Dabbiru, Lalitha et al. | SAE Technical Papers | 2020


    LiDAR Data Segmentation in Off-Road Environment Using Convolutional Neural Networks (CNN)

    Dabbiru, Lalitha / Goodin, Chris / Scherrer, Nicklaus et al. | British Library Conference Proceedings | 2020


    Fast LIDAR-Based Road Detection Using Fully Convolutional Neural Networks

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    Fast LIDAR-based road detection using fully convolutional neural networks

    Caltagirone, Luca / Scheidegger, Samuel / Svensson, Lennart et al. | IEEE | 2017


    Real-time Pedestrian Detection Using LIDAR and Convolutional Neural Networks

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