Abstract: A method for training at least one machine learning algorithm used to output specifications for interventions in the control system of a motor vehicle during specific driving maneuvers is disclosed. The method includes (i) during an operation of the motor vehicle, determining whether at least one specific driving maneuver is being performed; (ii) in the event that a specific driving maneuver is being performed, detecting interventions by a driver of the motor vehicle in the control system of the motor vehicle during the performance of the driving maneuver; and (iii) training the at least one machine learning algorithm based on the specific driving maneuver and the detected interventions by the driver of the motor vehicle in the control system of the motor vehicle.

Abstract: The invention relates to a method for preventing tip-over of a motor vehicle in the lateral direction, in which a finite number of predefined driving states is specified; in which a determination is made as to which of the predefined driving states the vehicle is in instantaneously, the predefined driving state thus determined being dependent on sensor signals and on that predefined driving state in which the vehicle was most recently; and as a function of the predefined driving state instantaneously present, at least one braking intervention is carried out in order to prevent the tip-over.

Abstract: The invention relates to a method for preventing tip-over of a motor vehicle in the lateral direction, in which a finite number of predefined driving states is specified; in which a determination is made as to which of the predefined driving states the vehicle is in instantaneously, the predefined driving state thus determined being dependent on sensor signals and on that predefined driving state in which the vehicle was most recently; and as a function of the predefined driving state instantaneously present, at least one braking intervention is carried out in order to prevent the tip-over.