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    Titel :

    Real-Time Intersection Detection Based on Satellite Image and 3D LIDAR Point Cloud


    Beteiligte:
    Zhao, Zhongyuan (Autor:in) / Fu, Hao (Autor:in) / Ren, Ruike (Autor:in) / Sun, Zhenping (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha



    Erscheinungsdatum :

    2022



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



    Real-Time Intersection Detection Based on Satellite Image and 3D LIDAR Point Cloud

    Zhao, Zhongyuan / Fu, Hao / Ren, Ruike et al. | British Library Conference Proceedings | 2022


    Real-Time Intersection Detection Based on Satellite Image and 3D LIDAR Point Cloud

    Zhao, Zhongyuan / Fu, Hao / Ren, Ruike et al. | Springer Verlag | 2022


    3D LIDAR Point Cloud Based Intersection Recognition for Autonomous Driving

    Zhu, Q. / Chen, L. / Li, Q. et al. | British Library Conference Proceedings | 2012


    3D LIDAR point cloud based intersection recognition for autonomous driving

    Zhu, Quanwen / Chen, Long / Li, Qingquan et al. | IEEE | 2012


    BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving

    Mohapatra, Sambit / Yogamani, Senthil / Gotzig, Heinrich et al. | IEEE | 2021