A training system for a deep neural network and method of training is disclosed. The system and/or method may comprise: receiving, from an eye-tracking system associated with a sensor, an image frame captured while an operator is controlling a vehicle; receiving, from the eye-tracking system, eyeball gaze data corresponding to the image frame; and iteratively training the deep neural network to determine an object of interest depicted within the image frame based on the eyeball gaze data. The deep neural network generates at least one feature map and determine a proposed region corresponding to the object of interest within the at least one feature map based on the eyeball gaze data.


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    Titel :

    VISUAL BEHAVIOR GUIDED OBJECT DETECTION


    Beteiligte:
    MALLIK APURBAA (Autor:in) / NAGASAMY VIJAY (Autor:in) / RAVINDRAN ANIRUDDH (Autor:in)

    Erscheinungsdatum :

    11.11.2021


    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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



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