A system and method for predicting pedestrian intent is provided. A prediction circuit comprising a plurality of gated recurrent units (GRUB) receives a sequence of images captured by a camera. The prediction circuit parses each frame of the sequence of images to identify one or more pedestrians and one or more objects. Using the parsed data, the prediction circuit generates a pedestrian-centric spatiotemporal graph, the parsed data comprising one or more identified pedestrians and one or more identified object. The prediction circuit uses the pedestrian-centric graph to determine a probability of one or more pedestrians crossing a street for each frame of the sequence of images.


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    Titel :

    SPATIOTEMPORAL RELATIONSHIP REASONING FOR PEDESTRIAN INTENT PREDICTION


    Beteiligte:
    ADELI-MOSABBEB EHSAN (Autor:in) / LEE KUAN (Autor:in) / GAIDON ADRIEN (Autor:in) / LIU BINGBIN (Autor:in) / CAO ZHANGJIE (Autor:in) / NIEBLES JUAN CARLOS (Autor:in)

    Erscheinungsdatum :

    08.04.2021


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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