Abstract: A narrow-passage assistance system is provided for a motor vehicle having at least one electronic control unit, which detects a narrow passage in the form of the presence of two objects that restrict the ego-vehicle on both sides in accordance with signals of various sensors known per se for sensing lateral obstacles and which controls transverse positioning of the ego-vehicle between the two objects by at least one transversely-guiding actuator. The control unit contains a transverse guidance module, which is designed such that the transverse guidance module can distinguish between dynamic and static objects. If a static object is detected on one side of the ego-vehicle and a dynamic object is detected on the other side of the ego-vehicle, transverse positioning of the ego-vehicle closer to the static object is performed if necessary. The transverse guidance module is also designed such that the transverse guidance module distinguishes between soft and hard objects.

Abstract: A narrow-passage assistance system is provided for a motor vehicle having at least one electronic control unit, which detects a narrow passage in the form of the presence of two objects that restrict the ego-vehicle on both sides in accordance with signals of various sensors known per se for sensing lateral obstacles and which controls transverse positioning of the ego-vehicle between the two objects by at least one transversely-guiding actuator. The control unit contains a transverse guidance module, which is designed such that the transverse guidance module can distinguish between dynamic and static objects. If a static object is detected on one side of the ego-vehicle and a dynamic object is detected on the other side of the ego-vehicle, transverse positioning of the ego-vehicle closer to the static object is performed if necessary. The transverse guidance module is also designed such that the transverse guidance module distinguishes between soft and hard objects.

Abstract: A method and a device determine a prediction quality for a predicted energy consumption of a motor vehicle. By determining a prediction quality, a tolerance band is calculated in addition to the predicted driving profile. The prediction quality provides a statement about the entire route as to whether a driver remains in a tolerance band that is based on stochastic evaluation and is naturally occurring. As long as the driver remains in the predicted tolerance band of the driving profile during the real drive, no re-calculation or change of the operating strategy is necessary. Fuel consumption is minimized using the predictive operating strategy on the specified distance.

Abstract: A method and a device determine a prediction quality for a predicted energy consumption of a motor vehicle. By determining a prediction quality, a tolerance band is calculated in addition to the predicted driving profile. The prediction quality provides a statement about the entire route as to whether a driver remains in a tolerance band that is based on stochastic evaluation and is naturally occurring. As long as the driver remains in the predicted tolerance band of the driving profile during the real drive, no re-calculation or change of the operating strategy is necessary. Fuel consumption is minimized using the predictive operating strategy on the specified distance.