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    Titel :

    REAL-TIME TRAFFIC SCENE SEGMENTATION BASED ON MULTI-FEATURE MAP AND DEEP LEARNING


    Beteiligte:
    Li, Linhui (Autor:in) / Zheng, Weina (Autor:in) / Kong, Lingchao (Autor:in) / Özgüner, Ümit (Autor:in) / Hou, Wenbin (Autor:in) / Lian, Jing (Autor:in)

    Kongress:

    IEEE intelligent vehicles symposium



    Erscheinungsdatum :

    01.01.2018


    Format / Umfang :

    6 pages


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



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    Li, Linhui / Zheng, Weina / Kong, Lingchao et al. | IEEE | 2018


    Traffic Scene Segmentation Based on RGB-D Image and Deep Learning

    Li, Linhui / Qian, Bo / Lian, Jing et al. | IEEE | 2018


    Edge Enhanced Traffic Scene Segmentation Algorithm with Deep Neural Network

    Yuan, Huai / Tian, Huan / Hu, Jun et al. | SAE Technical Papers | 2017


    Edge Enhanced Traffic Scene Segmentation Algorithm with Deep Neural Network

    Liu, Wei / Tian, Huan / Hu, Jun et al. | British Library Conference Proceedings | 2017


    Real-Time Traffic Management Using Feature Selection and Deep Learning in Vehicular Fog Computing

    Maryam, Safaei / Michel, Kadoch / Bensoussan, David | Springer Verlag | 2024