Abstract: A method determines a blockage of a sensor of a plurality of sensors of an ego vehicle. The method determines a prior blockage probability of the sensor of the plurality of sensors; receives sensor data of the sensor of the plurality of sensors; determines a performance of the sensor based on the received sensor data; calculates a posterior blockage probability based on the prior blockage probability of the sensor and the performance of the sensor; and determines the blockage of the sensors using the calculated posterior blockage probability.

Abstract: A computer-implemented method estimates a vehicle position. The method provides a first position estimate based on position information from at least one first source, wherein the first position estimate is assigned a first bias value and a first statistical variance; provides a second position estimate based on position information from at least one second source; determines a third bias value and a third statistical variance, wherein the third bias value and the third statistical variance are assigned to a third position estimate which results from a combination of the first position estimate and the second position estimate; and evaluates the first position estimate and the third position estimate on the basis of a quality criterion which takes into account the bias value assigned to each position estimate and the statistical variance assigned to each position estimate.

Abstract: A method for operating a driver assistance system of a vehicle includes the steps of: checking whether there is a motorway exit or roadworks on a first side of the vehicle; checking whether an environment sensor system of the vehicle detects a lane marking that bounds a lane of the vehicle on a second side, which is opposite the first side; if the result of the checking is that there is a motorway exit or roadworks on the first side of the vehicle and that the environment sensor system detects the lane marking, operating a lane-keeping function of the driver assistance system; and if the result of the checking is that there is a motorway exit or roadworks on the first side of the vehicle and that the environment sensor system does not detect the lane marking, triggering a takeover request to a driver of the vehicle.

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.

Abstract: A method determines a blockage of a sensor of a plurality of sensors of an ego vehicle. The method determines a prior blockage probability of the sensor of the plurality of sensors; receives sensor data of the sensor of the plurality of sensors; determines a performance of the sensor based on the received sensor data; calculates a posterior blockage probability based on the prior blockage probability of the sensor and the performance of the sensor; and determines the blockage of the sensors using the calculated posterior blockage probability.