Abstract: The disclosure relates to a method for capturing a traffic lane. A traffic lane data set is evaluated to capture an abrupt change of the traffic lane. The traffic lane data set is divided into a new traffic lane data set that represents a new traffic lane boundary and an old traffic lane data set that represents an old traffic lane boundary. A difference data set is determined between the old traffic lane data set and the new traffic lane data set. The difference data set is added to the new traffic lane data set to form a resulting data set, wherein the difference data set is weighted with a plurality of weighting factors.

Abstract: A method is disclosed to operate a motor vehicle using a driver assistance system. The driver assistance system includes, for at least one driver assistance system function, at least one criterion relating to a vehicle environment. The at least one criterion is defined for an adaptation of the driver assistance system function, a number of features of the environment of the vehicle are detected, a probability of the occurrence of at least one criterion is estimated on the basis of a combination of the detected features, and the driver assistance system function is adapted on the basis of the estimated probability.

Abstract: The disclosure relates to a method and system to operate a motor vehicle with a congestion assistant. The congestion assistant enters sensor data, which serves as input data of the congestion assistant. The sensor data is evaluated, via an evaluation unit, in order to define a value representing a signal roughness of the sensor data. The value is compared, via a comparison unit, with a threshold value. A suppression signal is generated, via a signal detection unit, to prevent automatic activation of the congestion assistant if the value is greater than the threshold value.

Abstract: The disclosure relates to a method for capturing a traffic lane. A traffic lane data set is evaluated to capture an abrupt change of the traffic lane. The traffic lane data set is divided into a new traffic lane data set that represents a new traffic lane boundary and an old traffic lane data set that represents an old traffic lane boundary. A difference data set is determined between the old traffic lane data set and the new traffic lane data set. The difference data set is added to the new traffic lane data set to form a resulting data set, wherein the difference data set is weighted with a plurality of weighting factors.

Abstract: A method is disclosed to operate a motor vehicle using a driver assistance system. The driver assistance system includes, for at least one driver assistance system function, at least one criterion relating to a vehicle environment. The at least one criterion is defined for an adaptation of the driver assistance system function, a number of features of the environment of the vehicle are detected, a probability of the occurrence of at least one criterion is estimated on the basis of a combination of the detected features, and the driver assistance system function is adapted on the basis of the estimated probability.

Abstract: The disclosure relates to a method and system to operate a motor vehicle with a congestion assistant. The congestion assistant enters sensor data, which serves as input data of the congestion assistant. The sensor data is evaluated, via an evaluation unit, in order to define a value representing a signal roughness of the sensor data. The value is compared, via a comparison unit, with a threshold value. A suppression signal is generated, via a signal detection unit, to prevent automatic activation of the congestion assistant if the value is greater than the threshold value.