Abstract: A method is proposed for maneuvering a vehicle. The vehicle has a steer-by-wire steering system having a steering handle and a steering gear actuator for changing a travel direction of the vehicle. In a manual driving operating state, a maneuvering process is detected based on a steering specification at the steering handle and a vehicle velocity. A target vehicle trajectory correlated with a driver intention for the maneuvering process is ascertained or predicted based on the steering specification at the steering handle and an environmental condition. An actual vehicle trajectory is progressively compared during the maneuvering process to the target vehicle trajectory. The actual vehicle trajectory is corrected in the event of a deviation from the target vehicle trajectory by means of a maneuvering assistance function and by an assisting intervention of the maneuvering assistance function in a lateral control of the vehicle.

Abstract: A method for estimating a probability distribution of the maximum coefficient of friction (?) at a current and/or future waypoint (s, s*) of a vehicle. According to the method, a first probability distribution (WV1) for the maximum coefficient of friction (?) at the waypoint (s) of the vehicle is determined by a Bayesian network from a first data set, which is, or was determined, for one, in particular current, waypoint (s) of the vehicle and which characterizes the maximum coefficient of friction (?) at the waypoint (s) of the vehicle.

Abstract: A method for estimating a probability distribution of the maximum coefficient of friction (?) at a current and/or future waypoint (s, s*) of a vehicle. According to the method, a first probability distribution (WV1) for the maximum coefficient of friction (?) at the waypoint (s) of the vehicle is determined by a Bayesian network from a first data set, which is, or was determined, for one, in particular current, waypoint (s) of the vehicle and which characterizes the maximum coefficient of friction (?) at the waypoint (s) of the vehicle.

Abstract: A method for determining a maximum adhesion limit between a tire and a substrate on which the tire is running in a longitudinal direction. The method includes detecting an instantaneous slip of the tire; detecting an instantaneous longitudinal force on the tire; determining an instantaneous coefficient of adhesion; forming a tuple from the detected slip and determined instantaneous coefficient of adhesion; and determining the adhesion limit. The adhesion limit is determined on the basis of the slope of a straight line passing through the origin and the tuple, if the slip is less than a first threshold value, or on the basis of the slope of a tangent passing through the tuple, if the slip is between the first threshold value and a second threshold value, or directly on the basis of the instantaneous coefficient of adhesion, if the slip is greater than the second threshold value.

Abstract: A method for determining a safe speed (v*) at a future waypoint (s*) of a vehicle moving along a route. In this step, at least one item of route data (in particular the curvature of the curve ?) characterizing the course of the route is determined. In addition, a first probability distribution (Pges) of a coefficient of friction (?) is provided at the current waypoint (s) and/or at the future waypoint (s*) of the vehicle. Subsequently a second probability distribution (Pv) of a vehicle speed (v) at the future waypoint (s*) is determined from the at least one item of route data (?) and from the first probability distribution (Pges). The safe speed (v*) is determined by statistical analysis from the second probability distribution (Pv).