A method for initializing a tracking algorithm for target objects, includes generating a 3D point cloud of the target object and iteratively determining a spatial position and orientation of the target object using a 3D model. A spatial position and orientation of the target object is first determined using an artificial neural network, thereafter the tracking algorithm is initialized with a result of this determination. A method for training an artificial neural network for initializing a tracking algorithm for target objects includes generating a 3D point cloud of the target object by a scanning method, and iteratively determining a spatial position and orientation of the using a 3D model of the target object. The artificial neural network is trained using training data to initially determine a spatial position and orientation of the target object and thereafter initialize the tracking algorithm with a result of this initial determination.


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    Titel :

    Method for initializing a tracking algorithm, method for training an artificial neural network, computer program product, computer-readable storage medium and data carrier signal for carrying out such methods, and device for data processing


    Beteiligte:
    SCHMITT CHRISTOPH (Autor:in) / BOTH JOHANNES (Autor:in) / KOLB FLORIAN (Autor:in)

    Erscheinungsdatum :

    2022-05-03


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / B64G Raumfahrt , COSMONAUTICS / G01S RADIO DIRECTION-FINDING , Funkpeilung