Present invention provides a system and method that includes installation of one or more cameras at various locations on a smart driving yard or in a parking lot. These cameras capture activity of a vehicle in the smart driving yard and perform an analysis using Computer Vision and machine learning. In some embodiments, one or more drones may also be employed for capturing the vehicle activity. The vehicle location is identified based on the individual pose of markers installed on the vehicle for easier object localization. The vehicle is then localized and its location is marked on a 2-dimensional map of the yard. Subsequently, a lane model is applied to identify driving violations or errors that a driver commits while driving. Subsequently, a lane model based on decision trees algorithm is trained to identify if the vehicle touches/intersects any of the parking line markings or any zones of interest.


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    Title :

    ARTIFICIAL INTELLIGENCE AND COMPUTER VISION POWERED DRIVING-PERFORMANCE ASSESSMENT


    Additional title:

    DURCH KÜNSTLICHE INTELLIGENZ UND COMPUTERSICHT ANGETRIEBENE FAHRLEISTUNGSBEURTEILUNG
    ÉVALUATION DE PERFORMANCE DE CONDUITE OPTIMISÉE PAR VISION INFORMATIQUE ET INTELLIGENCE ARTIFICIELLE


    Contributors:

    Publication date :

    2023-02-22


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English



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