The disclosure relates to a method for operating a driver assistance system of a motor vehicle. The method includes detecting a first data set of sensor data measured by a sensor device of the driver assistance program. The first data set of sensor data includes missing class allocation information, wherein the class allocation information relates to the objects represented by the sensor data. The method also includes pre-training a classification algorithm of the driver assistance system while taking into consideration the first data set in order to improve the object differentiation of the classification algorithm. The method further includes generating a second data set of simulated sensor data which includes at least one respective piece of class allocation information according to a specific specification. The method also includes training the classification algorithm of the driver assistance system while taking into consideration the second data set in order to improve an allocation assignment of the classification algorithm for objects differentiated by the classification algorithm. The method further includes improving the detection of objects, which are represented by additional measured sensor data, by the driver assistance system.
VERFAHREN ZUM VERBESSERTEN ERKENNEN VON OBJEKTEN DURCH EIN FAHRERASSISTENZSYSTEM
METHOD FOR THE IMPROVED DETECTION OF OBJECTS BY A DRIVER ASSISTANCE SYSTEM
PROCÉDÉ DE DÉTECTION AMÉLIORÉE D'OBJETS AU MOYEN D'UN SYSTÈME D'AIDE À LA CONDUITE
2019-03-13
Patent
Electronic Resource
German
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