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    Titel :

    Multi-task Learning of Semantics,Geometry and Motion for Vision-based End-to-End Self-Driving


    Beteiligte:
    Ni, Hailong (Autor:in) / Wu, Jian (Autor:in) / Zhang, Dong (Autor:in) / Wang, Guojun (Autor:in) / Chen, Zhicheng (Autor:in)

    Kongress:

    SAE WCX Digital Summit



    Erscheinungsdatum :

    01.01.2021


    Format / Umfang :

    ALL-ALL



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



    Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving

    Zhang, Dong / Wang, Guojun / Ni, Hailong et al. | SAE Technical Papers | 2021


    Unsupervised Joint Multi-Task Learning of Vision Geometry Tasks

    Jha, Prabhash Kumar / Tsanev, Doychin / Lukic, Luka | IEEE | 2021


    Deep Learning Based Self Driving Cars Using Computer Vision

    Bhaggiaraj, S. / Priyadharsini, M. / Karuppasamy, K. et al. | IEEE | 2023


    Multi-task deep learning with optical flow features for self-driving cars

    Hu, Yuan / Shum, Hubert P. H. / Ho, Edmond S. L. | IET | 2021

    Freier Zugriff

    Geometric Vision Requirements in the Driving Task

    Forbes, Lyman M. | SAE Technical Papers | 1970