A method includes obtaining an image representing road objects belonging to a particular class, and generating, based on the image, feature maps that represent visual features of the image. The method also includes determining, based on the feature maps and for each respective road object of the plurality of road objects, a corresponding location at which the respective road object has been detected within the image and a corresponding tag value associated with the respective road object. The method additionally includes determining groups of the road objects based on the tag value of each respective road object, and identifying, for each respective group, a corresponding road condition based on the corresponding locations of the road objects in the respective group and the particular class. The method further includes generating an output that represents the corresponding road condition of each respective group.


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    Titel :

    JOINT DETECTION AND GROUPING OF ROAD OBJECTS USING MACHINE LEARNING


    Weitere Titelangaben:

    GEMEINSAME ERKENNUNG UND GRUPPIERUNG VON STRASSENOBJEKTEN UNTER VERWENDUNG VON MASCHINENLERNEN
    DÉTECTION ET GROUPEMENT CONJOINTS D'OBJETS ROUTIERS À L'AIDE D'UN APPRENTISSAGE AUTOMATIQUE


    Beteiligte:
    KABKAB MAYA (Autor:in) / CHEN YU-HAN (Autor:in) / YANG ZHIBO (Autor:in) / CHEN XIA (Autor:in)

    Erscheinungsdatum :

    2023-12-27


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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