1. A computer-implemented method for setting-up and operating a driver assistance system, the method comprising the steps of: visually sensing an environment of a vehicle, sensing at least one rate of change of a parameter representing a status of the vehicle, which the parameter can be influenced by a driver manipulating a man/machine interface of the vehicle, structuring information gathered by the visual sensing by classifying the at least one sensed rate of change in different categories, in order to find visual features associated to a certain category of sensed rate of change and thus associated with a certain behavior of the driver, characterized in that the step of structuring comprises splitting the visually sensed data stream in at least two categories of the at least one sensed rate of change, preparing a histogram indicating how frequent a visual feature out of a set of different visual features occurred while the sensed rate of change indicated an occurrence of a category of a driver's behavior, wherein the set of different visual features is gained by comparing the split visually sensed data streams for the categories exceeding a threshold value with a data stream portion of time periods during which the threshold values were not reached or with another data stream or data stream portion.