Abstract: A method for ascertaining an operating angle between a tractor and a trailer of the tractor. The method includes: ascertaining camera images carried out in a chronologically consecutive manner with the aid of at least one rear-facing camera situated on the tractor; detecting structures of the trailer in the camera images; and ascertaining the operating angle by evaluating the detected structures in the camera image.

Abstract: A method for calibrating image data of an imaging system for a vehicle combination, including a first part of the tractor trailer, which encompasses the imaging system, and a second part which encompasses a calibration object, the second part being mechanically coupled to the first part so as to be movable about at least one axis. The imaging system is configured to at least partially representing the second part. The method includes: providing at least one image of the imaging system, which represents the calibration object; identifying the calibration object within the image; identifying a characteristic variable of the calibration object within the image; determining a deviation of the characteristic variable from a stored characteristic setpoint variable; generating calibrated image data by transforming the image data of the imaging system, depending on the deviation of the characteristic variable from the stored characteristic setpoint variable to compensate for the deviation.

Abstract: A method for calibrating image data of an imaging system for a vehicle combination, including a first part of the tractor trailer, which encompasses the imaging system, and a second part which encompasses a calibration object, the second part being mechanically coupled to the first part so as to be movable about at least one axis. The imaging system is configured to at least partially representing the second part. The method includes: providing at least one image of the imaging system, which represents the calibration object; identifying the calibration object within the image; identifying a characteristic variable of the calibration object within the image; determining a deviation of the characteristic variable from a stored characteristic setpoint variable; generating calibrated image data by transforming the image data of the imaging system, depending on the deviation of the characteristic variable from the stored characteristic setpoint variable to compensate for the deviation.

Abstract: A method is described for detecting at least one concealed object in road traffic for a vehicle using a passive vehicle sensor, the method encompassing firstly a step of reading in an input signal furnished by the passive vehicle sensor, and the input signal representing a light beam that was reflected or scattered from a surface of an object located on the roadway and/or at the roadside. Lastly, the method encompasses a step of processing the input signal in order to detect the concealed object in road traffic.