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 processing measurement data of a vehicle for determining the start of a search for a parking space includes acquiring journey data vectors, each containing information about a speed, position data and a time of acquisition of the speed and the position data, and establishing a feature vector at each time of acquisition of the journey data vectors, where the information about a current and a previous journey data vector is processed, and where the feature vector comprises as feature components at least one item of speed information and one item of path information. The method also includes classifying each feature vector, where a first traffic category, which represents a vehicle journey, or a second vehicle category, which represents parking space-seeking traffic, is assigned to each feature vector, and where a probability is established, which specifies the probability with which the first or the second traffic category is to be assigned to the feature vector.

Abstract: A method for processing measurement data of a vehicle for determining the start of a search for a parking space includes acquiring journey data vectors, each containing information about a speed, position data and a time of acquisition of the speed and the position data, and establishing a feature vector at each time of acquisition of the journey data vectors, where the information about a current and a previous journey data vector is processed, and where the feature vector comprises as feature components at least one item of speed information and one item of path information. The method also includes classifying each feature vector, where a first traffic category, which represents a vehicle journey, or a second vehicle category, which represents parking space-seeking traffic, is assigned to each feature vector, and where a probability is established, which specifies the probability with which the first or the second traffic category is to be assigned to the feature vector.