Abstract: A method for adjusting and/or calibrating a surroundings sensor in a vehicle using a measuring unit and a calibration panel.

Abstract: A method for determining wheel and body motions of a vehicle having a body and at least one wheel includes inducing a motion of the vehicle, recording an image sequence of the moving vehicle, determining the optical flow from the recorded image sequence, and determining the position of at least one wheel center, the motion of the body and/or a damping ratio of the vehicle from the optical flow.

Abstract: A method for determining distances for chassis measurement of a vehicle having a body and at least one wheel includes determining a center of rotation of a wheel of the vehicle by projecting a structured light pattern at least onto the wheel, recording a light pattern reflected by the wheel using a calibrated imaging sensor system, determining a 3D point cloud from the reflected light pattern, and determining the center of rotation of the wheel from the 3D point cloud. The method also includes determining a point on the body by evaluating the previously determined 3D point cloud or by evaluating a plurality of grey-scale images recorded under unstructured illumination. A height level is determined as a vertical distance between the center of rotation of the wheel and the point on the body.

Abstract: An image processing method is described for determining depth information from at least two input images recorded by a stereo camera system, the depth information being determined from a disparity map taking into account geometric properties of the stereo camera system, characterized by the following method steps for ascertaining the disparity map: transforming the input images into signature images with the aid of a predefined operator, calculating costs based on the signature images with the aid of a parameter-free statistical rank correlation measure for ascertaining a cost range for predefined disparity levels in relation to at least one of the at least two input images, performing a correspondence analysis for each point of the cost range for the predefined disparity levels, the disparity to be determined corresponding to the lowest costs, and ascertaining the disparity map from the previously determined disparities.

Abstract: A chassis measuring system comprises an illumination device for producing a structured illumination (38, 58, 78, 98), which is developed in such a way that it produces a structured image on a measuring head (32, 52; 72, 92) situated opposite in the transverse vehicle direction, a reference surface (40, 60, 80, 100) facing in the same direction as the illumination device (38, 58, 78, 98), on which a structured image produced by an illumination device (38, 58; 78, 98) of the measuring head (32, 52; 72, 92) situated opposite in the transverse vehicle direction may be projected, and at least one measuring camera (34, 36; 54, 56; 74, 76; 94, 96) facing in the same direction as the illumination device (38, 58, 78, 98), which is developed in such a way that it detects the structured image on the reference surface (40, 60; 80, 100) of the opposite measuring head (32, 52; 72, 92) in order to determine the position parameters of the measuring head (32, 52, 72, 92).

Abstract: A method for rectifying a camera image includes: receiving a plurality of distorted pixels of a distorted camera image; receiving a compressed rectifying rule, via an interface; and performing a decompression of the compressed rectifying rule, in order to obtain a decompressed rectifying rule for rectifying the distorted camera image. A plurality of rectified pixels of a distorted camera image is determined from the plurality of distorted pixels, using the decompressed rectifying rule.