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Learning methods for the automatic recognition of traffic signs, a method for determining an updated parameter set for a classification of a traffic signs and traffic sign recognition system
Learning methods for the automatic recognition of traffic signs, a method for determining an updated parameter set for a classification of a traffic signs and traffic sign recognition system
The present invention relates to a learning method for automatic recognition of traffic signs for a vehicle (100) comprising a step of outputting of a detected image section and a classification result to a transmitting section point to a central computer unit, wherein the detected image section a partial region of one of an image capture device (120) of the vehicle (100) recorded image, which represents a traffic sign, and wherein the classification result, the result of a classification of the detected portion of the image on the basis of a parameter set represents.
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