Access

    Download


    Export, share and cite



    Title :

    Towards Depth Perception from Noisy Camera based Sensors for Autonomous Driving


    Contributors:

    Conference:

    VEHITS ; 8. ; 2022 ; Online



    Publication date :

    2022


    Remarks:

    Digital preservation by Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    KDepthNet: Mono-Camera Based Depth Estimation for Autonomous Driving

    Dargahi, Javad / Zadeh, Mehrdad / Tavakolian, Niloofar et al. | SAE Technical Papers | 2022


    KDepthNet: Mono-Camera Based Depth Estimation for Autonomous Driving

    Tavakolian, Niloofar / Fekri, Pedram / Zadeh, Mehrdad et al. | British Library Conference Proceedings | 2022


    KDepthNet: Mono-Camera Based Depth Estimation for Autonomous Driving

    Tavakolian, Niloofar / Fekri, Pedram / Zadeh, Mehrdad et al. | British Library Conference Proceedings | 2022


    Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack

    DiPalma, Christopher / Wang, Ningfei / Sato, Takami et al. | TIBKAT | 2021


    Towards Autonomous Driving: a Multi-Modal 360° Perception Proposal

    Beltran, Jorge / Guindel, Carlos / Cortes, Irene et al. | IEEE | 2020