Abstract: In a method and an apparatus for calibrating a camera system of a motor vehicle, the calibration parameters comprising the rotation angle, pitch angle, yaw angle and roll angle as well as the height of the camera above the road, the rotation angle is determined from the ascertainment of the vanishing point from a first optical flow between a first and a second successive camera image, and the height of the camera is determined from a second optical flow between a first and a second, successive camera image. To determine the first optical flow, a regular grid is placed over the first camera image, correspondences of the regular grid are searched for in the second camera image, and the first optical flow is determined from the movement of the grid over the camera images.

Abstract: In a method and an apparatus for calibrating a camera system of a motor vehicle, the calibration parameters comprising the rotation angle, pitch angle, yaw angle and roll angle as well as the height of the camera above the road, the rotation angle is determined from the ascertainment of the vanishing point from a first optical flow between a first and a second successive camera image, and the height of the camera is determined from a second optical flow between a first and a second, successive camera image. To determine the first optical flow, a regular grid is placed over the first camera image, correspondences of the regular grid are searched for in the second camera image, and the first optical flow is determined from the movement of the grid over the camera images.

Abstract: In a method for determining a wheel or axle geometry of a vehicle, the following steps are provided: illuminating a wheel region with structured and with unstructured light during a motion of at least one wheel and/or of the vehicle; acquiring multiple images of the wheel region during the illumination, in order to create a three-dimensional surface model having surface parameters, a texture model having texture parameters, and a motion model having motion parameters of the sensed wheel region; calculating values for the surface parameters, the texture parameters, and the motion parameters using a variation computation as a function of the acquired images, in order to minimize a deviation of the three-dimensional surface model, texture model, and motion model from image data of the acquired images; and determining a rotation axis and/or a rotation center of the wheel as a function of the calculated values of the motion parameters.

Abstract: A method for ascertaining the axis of rotation of a vehicle wheel in which a light pattern is projected at least onto the wheel during the rotation of the wheel and the light pattern reflected from the wheel is detected by a calibrated imaging sensor system and analyzed in an analyzer device. Accurate and robust measurement of the axis of rotation and, optionally, of the axis and wheel geometry, in particular when the vehicle is passing by, is achieved in that a 3D point cloud with respect to the wheel is determined in the analysis and a parametric surface model of the wheel is adapted thereto; normal vectors of the wheel are calculated for different rotational positions of the wheel for obtaining the axes of rotation; and the axis of rotation vector is calculated as the axis of rotation from the spatial movement of the normal vector of the wheel.

Abstract: In a method for determining a wheel or axle geometry of a vehicle, the following steps are provided: illuminating a wheel region with structured and with unstructured light during a motion of at least one wheel and/or of the vehicle; acquiring multiple images of the wheel region during the illumination, in order to create a three-dimensional surface model having surface parameters, a texture model having texture parameters, and a motion model having motion parameters of the sensed wheel region; calculating values for the surface parameters, the texture parameters, and the motion parameters using a variation computation as a function of the acquired images, in order to minimize a deviation of the three-dimensional surface model, texture model, and motion model from image data of the acquired images; and determining a rotation axis and/or a rotation center of the wheel as a function of the calculated values of the motion parameters.

Abstract: A method for ascertaining the axis of rotation of a vehicle wheel in which a light pattern is projected at least onto the wheel during the rotation of the wheel and the light pattern reflected from the wheel is detected by a calibrated imaging sensor system and analyzed in an analyzer device. Accurate and robust measurement of the axis of rotation and, optionally, of the axis and wheel geometry, in particular when the vehicle is passing by, is achieved in that a 3D point cloud with respect to the wheel is determined in the analysis and a parametric surface model of the wheel is adapted thereto; normal vectors of the wheel are calculated for different rotational positions of the wheel for obtaining the axes of rotation; and the axis of rotation vector is calculated as the axis of rotation from the spatial movement of the normal vector of the wheel.