The present teaching relates to method, system, medium, and implementation of a global model update center. At least one model is established at the model update center for detecting objects surrounding each of autonomous driving vehicles of a fleet. A plurality of labeled data items are received, from the fleet of autonomous driving vehicles, where each of the labeled data items is detected, based on the at least one model, from sensor data characterizing surroundings of the autonomous driving vehicles. The labeled data items are generated automatically on-the-fly by the autonomous driving vehicles. Based on the received labeled data items, at least some of the models are updated and model update information is accordingly generated. Such generated model update information is then distributed to the fleet of autonomous driving vehicles.


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    Titel :

    METHOD AND SYSTEM FOR CLOSE LOOP PERCEPTION IN AUTONOMOUS DRIVING VEHICLES


    Weitere Titelangaben:

    VERFAHREN UND SYSTEM ZUR CLOSED-LOOP-WAHRNEHMUNG BEI AUTONOM FAHRENDEN FAHRZEUGEN
    PROCÉDÉ ET SYSTÈME DE PERCEPTION EN BOUCLE FERMÉE DANS DES VÉHICULES À CONDUITE AUTONOME


    Beteiligte:

    Erscheinungsdatum :

    17.02.2021


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

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



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