Abstract: Systems, methods, and apparatus are provided for compensating for an observation error when estimating a course of a road in an environment of a vehicle. A state function is obtained for mapping the estimated course of the road. Environment measurement data of the environment of the vehicle is obtained. Information about the observation error is captured. A transform is determined by transforming the state function or the environment measurement data based on the captured information about the observation error to compensate for the observation error. The estimated course of the road is adapted using the transform.

Abstract: Systems, methods, and apparatuses are provided for estimating a road profile in surroundings of a vehicle by using a state function that describes the road profile and a Bayes filter for adapting the state function based on surroundings measurement data. Sensor-captured surroundings measurement data is received. Information about an uncertainty regarding at least either the state function or the sensor-captured surroundings measurement data is received. The information is taken as a basis for adapting a state inaccuracy that influences an attenuation of the Bayes filter.

Abstract: A method estimates a course of a roadway in a vicinity of a vehicle based on a state function describing the course of the roadway, wherein the state function includes a clothoid spline. The method includes providing ambient measured data describing the course of the roadway at a current position of the vehicle, where the ambient measured data includes a polynomial function. The method also includes transforming the state function and the ambient measured data into a common coordinate system, and checking the ambient measured data for an error. If no error is detected, then the state function is adapted based on the ambient measured data in the common coordinate system. If an error is detected, then the error is stored.

Abstract: Provided is a method for identifying a malfunction in a surroundings model that is used by an automated driving function of a motor vehicle. The method includes determining a first deviation between a target trajectory determined by the surroundings model and an actual trajectory travelled by the motor vehicle and/or a second deviation between a course of a road determined by the surroundings model and a course of a road determined by camera software; and identifying the malfunction based on the first and/or the second deviation.

Abstract: A computer-implemented method estimates a course of a roadway in a surrounding area of a vehicle on the basis of a state function describing the course of a roadway. The state function includes a clothoid spline. The method includes providing surrounding-area measurement data describing the course of a roadway at a current position of the vehicle, the surrounding-area measurement data having at least one polynomial function. The method also includes transforming the state function and the surrounding-area measurement data into a common coordinate system. The method further includes adapting the state function on the basis of the surrounding-area measurement data in the common coordinate system.

Abstract: Systems, methods, and apparatus are provided for compensating for an observation error when estimating a course of a road in an environment of a vehicle. A state function is obtained for mapping the estimated course of the road. Environment measurement data of the environment of the vehicle is obtained. Information about the observation error is captured. A transform is determined by transforming the state function or the environment measurement data based on the captured information about the observation error to compensate for the observation error. The estimated course of the road is adapted using the transform.

Abstract: Systems, methods, and apparatuses are provided for estimating a road profile in surroundings of a vehicle by using a state function that describes the road profile and a Bayes filter for adapting the state function based on surroundings measurement data. Sensor-captured surroundings measurement data is received. Information about an uncertainty regarding at least either the state function or the sensor-captured surroundings measurement data is received. The information is taken as a basis for adapting a state inaccuracy that influences an attenuation of the Bayes filter.

Abstract: A method estimates a course of a roadway in a vicinity of a vehicle based on a state function describing the course of the roadway, wherein the state function includes a clothoid spline. The method includes providing ambient measured data describing the course of the roadway at a current position of the vehicle, where the ambient measured data includes a polynomial function. The method also includes transforming the state function and the ambient measured data into a common coordinate system, and checking the ambient measured data for an error. If no error is detected, then the state function is adapted based on the ambient measured data in the common coordinate system. If an error is detected, then the error is stored.

Abstract: A computer-implemented method estimates a course of a roadway in a surrounding area of a vehicle on the basis of a state function describing the course of a roadway. The state function includes a clothoid spline. The method includes providing surrounding-area measurement data describing the course of a roadway at a current position of the vehicle, the surrounding-area measurement data having at least one polynomial function. The method also includes transforming the state function and the surrounding-area measurement data into a common coordinate system. The method further includes adapting the state function on the basis of the surrounding-area measurement data in the common coordinate system.