A system uses a machine learning based model to determine attributes describing states of mind and behavior of traffic entities in video frames captured by an autonomous vehicle. The system classifies video frames according to traffic scenarios depicted, where each scenario is associated with a filter based on vehicle attributes, traffic attributes, and road attributes. The system identifies a set of video frames associated with ground truth scenarios for validating the accuracy of the machine learning based model and predicts attributes of traffic entities in the video frames. The system analyzes video frames captured after the set of video frames to determine actual attributes of the traffic entities. Based on a comparison of the predicted attributes and actual attributes, the system determines a likelihood of the machine learning based model making accurate predictions and uses the likelihood to generate a navigation action table for controlling the autonomous vehicle.


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    Titel :

    SCENARIO IDENTIFICATION FOR VALIDATION AND TRAINING OF MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES


    Weitere Titelangaben:

    SZENARIOIDENTIFIZIERUNG ZUR VALIDIERUNG UND ZUM TRAINING VON MASCHINENLERNBASIERTEN MODELLEN FÜR AUTONOME FAHRZEUGE
    IDENTIFICATION DE SCÉNARIOS POUR UNE VALIDATION ET UN ENTRAINEMENT DE MODÈLES BASÉS SUR L'APPRENTISSAGE MACHINE POUR VÉHICULES AUTONOMES


    Beteiligte:

    Erscheinungsdatum :

    2023-03-22


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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