Abstract: In a method of operating a vehicle, sensor data comprising an object detection of a sensor of the vehicle is provided, the object detection being representative of a detected object. Further, a trust model is provided, wherein the trust model is configured to model a trust in object detection. Depending on the sensor data and the trust model, a trust value of the detected object is determined, the trust value of the detected object being representative of how high a trust in the detected object is. The vehicle is operated depending on the trust value of the detected object.

Abstract: A control unit and method for an autonomous and/or semi-autonomous ego vehicle are provided. The control unit is configured to determine a course of an ego lane, referred to as the behavioral ego lane, within which the ego vehicle is driving, based on driving trajectories of a plurality of vehicles within an environment of the ego vehicle. The control unit is configured to operate an automated longitudinal and/or lateral guidance function of the ego vehicle in dependence of the course of the behavioral ego lane.

Abstract: A method and device for sensor data fusion for a vehicle as well as a computer program and a computer-readable storage medium are disclosed. At least one sensor device (S1) is associated with the vehicle (F), and in the method, fusion object data is provided representative of a fusion object (OF) detected in an environment of the vehicle (F); sensor object data is provided representative of a sensor object (OS) detected by the sensor device (S1) in the environment of the vehicle (F); indicator data is provided representative of an uncertainty in the determination of the sensor object data; reference point transformation candidates of the sensor object (OS) are determined depending on the indicator data; and an innovated fusion object is determined depending on the reference point transformation candidates.

Abstract: A method determines one or more lanes of a road in an environment of a vehicle, by receiving a plurality of objects in the environment of the vehicle; receiving a plurality of trajectories of the plurality of objects in the environment of the vehicle; estimating a shape of a road based on the plurality of trajectories of the plurality of objects; and determining one or more lanes of the road using the estimated shape of the road and the plurality of objects and/or the plurality of trajectories of the plurality of objects.

Abstract: A method for sensor data fusion for a vehicle includes providing current sensor object data that are representative of a sensor object st ascertained at the time t; providing fusion object data that are representative of fusion objects ftj? intended for sensor data fusion at the time t; providing a sensor object data record H including historical sensor object data that are representative of a sensor object st-ki, ascertained at a preceding time t?k; taking the sensor object data record H as a basis for ascertaining a reduced sensor object data record H?={St-k?t?k|k=1 . . . n}, wherein st denotes a sensor object associated with a fusion object ft at the time t; and taking the reduced sensor object data record H? as a basis for associating the sensor object st with a fusion object ftj and ascertaining a refreshed fusion object.

Abstract: A method for operating a driver assistance function of a vehicle includes determining a position of the vehicle, providing map data of a road map, providing current and historical traffic data depending on the position, providing a list of driver assistance functions, and determining whether a situation exists in which a driver assistance function of the list of driver assistance functions can be used depending on the position, the map data, and the current and historical traffic data. If it is determined that the situation exists, information is provided to a driver of the vehicle to set the driver assistance function.

Abstract: A method and device for sensor data fusion for a vehicle as well as a computer program and a computer-readable storage medium are disclosed. At least one sensor device (S1) is associated with the vehicle (F), and in the method, fusion object data is provided representative of a fusion object (OF) detected in an environment of the vehicle (F); sensor object data is provided representative of a sensor object (OS) detected by the sensor device (S1) in the environment of the vehicle (F); indicator data is provided representative of an uncertainty in the determination of the sensor object data; reference point transformation candidates of the sensor object (OS) are determined depending on the indicator data; and an innovated fusion object is determined depending on the reference point transformation candidates.

Abstract: In the method, a predetermined first number of sensed positions (Pi) of the object (20) are provided, the positions being provided with respect to a vehicle coordinate system (K) of the vehicle (10). Depending on a predetermined second number of the provided positions, a second coordinate system (K?) is determined. The provided positions are transformed into the second coordinate system (K?) and a function is determined which approximates a course of the provided positions in the second coordinate system (K?). For a predetermined third number of sampling points of the function, at least one analytical property of the function is determined at the respective sampling point. The coordinates and the at least one analytical property of the respective sampling point are transformed into the vehicle coordinate system (K).

Abstract: In a method of operating a vehicle, sensor data comprising an object detection of a sensor of the vehicle is provided, the object detection being representative of a detected object. Further, a trust model is provided, wherein the trust model is configured to model a trust in object detection. Depending on the sensor data and the trust model, a trust value of the detected object is determined, the trust value of the detected object being representative of how high a trust in the detected object is. The vehicle is operated depending on the trust value of the detected object.

Abstract: A method and apparatus for sensor data fusion for a vehicle as well as a vehicle, a computer program, and a computer-readable storage medium are disclosed. A distance sensor (S1) is associated with the vehicle (F), and wherein in the method: fusion object data is provided which is representative of a fusion object (OF) determined in the vicinity of the vehicle (F); a directional characteristic value is determined which is representative of an angle (?) of the measurement direction (M) of the distance sensor (S1); a distance measurement value (d) of the distance sensor (S1) is detected; depending on the distance measurement value (d) and the directional characteristic value, a fusion object (OF) is determined to which the distance measurement value (d) and the directional characteristic value are assigned, and an innovated fusion object is determined depending on the distance measurement value (d), the directional characteristic value and the fusion object data.

Abstract: A control unit and method for an autonomous and/or semi-autonomous ego vehicle are provided. The control unit is configured to determine a course of an ego lane, referred to as the behavioral ego lane, within which the ego vehicle is driving, based on driving trajectories of a plurality of vehicles within an environment of the ego vehicle. The control unit is configured to operate an automated longitudinal and/or lateral guidance function of the ego vehicle in dependence of the course of the behavioral ego lane.

Abstract: Please replace the original Abstract with the following new Abstract: A control unit for a vehicle is designed to predict a driving tube for the vehicle, which driving tube surrounds a motion path ahead of the vehicle. The control unit detects an object ahead, for example a vehicle moving in or out. The control unit determines a reference point on the object and determines overlap information regarding overlap of the reference point with the driving tube. The control unit determines, on the basis of the overlap information, whether the object is penetrating into the driving tube of the vehicle.

Abstract: A method determines one or more lanes of a road in an environment of a vehicle, by receiving a plurality of objects in the environment of the vehicle; receiving a plurality of trajectories of the plurality of objects in the environment of the vehicle; estimating a shape of a road based on the plurality of trajectories of the plurality of objects; and determining one or more lanes of the road using the estimated shape of the road and the plurality of objects and/or the plurality of trajectories of the plurality of objects.