Systems and methods are disclosed to provide an Advanced Warning System (AWS) for a driver of a vehicle, by capturing traffic scene types from a single camera video; generating real-time monocular SFM and 2D object detection from the single camera video; detecting a ground plane from the real-time monocular SFM and the 2D object detection; performing dense 3D estimation from the real-time monocular SFM and the 2D object detection; generating a joint 3D object localization from the ground plane and dense 3D estimation; and communicating a situation that requires caution to the driver.


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    Titel :

    Atomic scenes for scalable traffic scene recognition in monocular videos


    Beteiligte:
    CHANDRAKER MANMOHAN (Autor:in) / CHEN CHAO YEH (Autor:in) / CHOI WONGUN (Autor:in)

    Erscheinungsdatum :

    2018-02-27


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    ATOMIC SCENES FOR SCALABLE TRAFFIC SCENE RECOGNITION IN MONOCULAR VIDEOS

    CHANDRAKER MANMOHAN / CHEN CHAO-YEH / CHOI WONGUN | Europäisches Patentamt | 2016

    Freier Zugriff

    Model-Based Object Tracking in Monocular Image Sequences of Road Traffic Scenes

    Koller, D. / Daniilidis, K. / Nagel, H.-H. | British Library Online Contents | 1993