In order to provide accurate information for the Unmanned Ground Vehicle (UGV), the method of multi-target detecting and velocity estimation using automotive radar is proposed in this paper. The condition of target consistency judgment is applied to capture the new and stable objects. Meanwhile, through noise identification method, target failure judgment can be implemented to distinguish between the real noise, unreal noise and effective target. Furthermore, lateral and longitudinal velocities of effective target are estimated through method of velocity estimation. Finally, the experimental results show a promising performance on multi-target detecting and velocity estimation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A method of multi-target detecting and velocity estimation using automotive radar


    Beteiligte:
    Jianwei Gong (Autor:in) / Yinjian Sun (Autor:in) / Yan Jiang (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    668450 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Side object tracking using automotive radar with lateral velocity estimation

    Fitzek, Frerk / Zoeke, Dominik / Aeberhard, Michael et al. | Tema Archiv | 2010



    Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks

    Niederlohner, Daniel / Ulrich, Michael / Braun, Sascha et al. | IEEE | 2022


    High-Precision Automotive Radar Target Simulation

    Diewald, Axel | TIBKAT | 2023

    Freier Zugriff

    High-precision automotive radar target simulation

    Diewald, Axel | TIBKAT | 2023

    Freier Zugriff