Abstract: A filtering method for sensor data formed by a sensor system for acquiring objects, including: measurement of a scaling value from the sensor data, the scaling value corresponding to a change in size of an object from the sensor data over a time interval, determination of a measurement error parameter of the scaling value, and execution of a Kalman filtering based immediately on the measured scaling value, the time interval, and the measurement error parameter, in order to estimate at least one normalized motion parameter of the object relative to the sensor system. A related filter device, a driver assistance system, and a computer program are also described.

Abstract: A method for route guidance of a user includes steps of transmitting a first item of information with respect to a planned journey from an instantaneous position to a destination position from the user to a central authority, determining, by way of the central authority, a traffic situation in an area of a route from the instantaneous position to the destination position, and transmitting a second item of information, which provides information about the traffic situation, from the central authority to the user.

Abstract: A filtering method for sensor data formed by a sensor system for acquiring objects, including: measurement of a scaling value from the sensor data, the scaling value corresponding to a change in size of an object from the sensor data over a time interval, determination of a measurement error parameter of the scaling value, and execution of a Kalman filtering based immediately on the measured scaling value, the time interval, and the measurement error parameter, in order to estimate at least one normalized motion parameter of the object relative to the sensor system. A related filter device, a driver assistance system, and a computer program are also described.