BEHAVIOR-BASED LEARNING OF VISUAL CHARACTERISTICS FROM REAL-WORLD TRAFFIC SCENES FOR DRIVER ASSISTANCE SYSTEMS

摘要

A computer-implemented method for setting-up and operating a driver assistance system, the method comprising the steps of: visually sensing the environment of a vehicle, sensing at least one rate of change of a parameter representing a status of the car, which 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 of e, 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.