Abstract: A method is for determining a speed of an object based on an ultrasonic pulse. The method includes emitting the ultrasonic pulse using a first ultrasonic transducer. The ultrasonic pulse having a defined signal profile. The method further includes receiving an ultrasonic signal using a second ultrasonic transducer, calculating a cross-correlation, with respect to frequency, of the ultrasonic signal with a filter signal which at least partially correlates with the defined signal profile, and determining a frequency shift between the filter signal and the received ultrasonic signal using a result of the calculated cross-correlation. The method also includes determining the speed of the object which reflected the emitted ultrasonic pulse using the determined frequency shift.

Abstract: A method classifies dynamic or static objects in a surrounding area with a control device. Sound echoes are generated by at least one sensor over a defined time period. The sound echoes are emitted into the surrounding area, and are detected by the at least one sensor in order to acquire measurement data. The measurement data of the at least one sensor are received by the control device. The received measurement data are recorded in a two-dimensional array. At least one echo trace is extracted from the array. A relative speed of the detected sound echoes with respect to the at least one sensor is determined using a derivative over time of the measurement data of the array. The at least one echo trace is classified based on the determined relative speed.

Abstract: A method recognizes an object in a surroundings of a vehicle. The vehicle has an ultrasonic sensor for monitoring the surroundings of the vehicle and for the transmission and reception of ultrasonic signals. In the method, sensor data generated by the ultrasonic sensor are received. Classification data that contain features to be classified, are subsequently generated from the sensor data. The classification data and/or the sensor data are hereupon entered into a classifier that has been trained with training data for assigning the classification data and/or the sensor data to object classes. Object information that indicates at least one of the object classes is output.

Abstract: A method classifies dynamic or static objects in a surrounding area with a control device. Sound echoes are generated by at least one sensor over a defined time period. The sound echoes are emitted into the surrounding area, and are detected by the at least one sensor in order to acquire measurement data. The measurement data of the at least one sensor are received by the control device. The received measurement data are recorded in a two-dimensional array. At least one echo trace is extracted from the array. A relative speed of the detected sound echoes with respect to the at least one sensor is determined using a derivative over time of the measurement data of the array. The at least one echo trace is classified based on the determined relative speed.