Patent classifications
G01B2210/14
Wheel aligner with advanced diagnostics and no-stop positioning
A vehicle wheel alignment system has a plurality of cameras, each camera for viewing a respective target disposed at a respective wheel of the vehicle and capturing image data of the target as the wheel and target are continuously rotated a number of degrees of rotation without a pause. The image data is used to calculate a minimum number of poses of the target of at least one pose for every five degrees of rotation as the wheel and target are continuously rotated the number of degrees of rotation without a pause. At least one of the cameras comprises a data processor for performing the steps of preprocessing the image data, and calculating an alignment parameter for the vehicle based on the preprocessed image data.
Optical device and method for wheel alignment
A method for aligning wheels of a vehicle is described herein. In an implementation, a plurality of images of a wheel of the vehicle is captured. The plurality of images comprises a LED image of the wheel, a laser image of the wheel, and a control image of the wheel. The method further comprises identifying, automatically, a rim coupled to the wheel based on the plurality of images. Further, the wheel is aligned based on the identified rim.
Rolling virtual wheel spindle calibration
A vehicle wheel alignment system and method is provided for performing a rolling wheel axis of rotation and wheel spindle point calculation every time an alignment is performed. Embodiments include an aligner having a target fixedly attachable to a wheel of the vehicle; a camera for viewing the target and capturing image data of the target; and a data processor. The data processor receives the image data from the camera, and determines a vector pointing from the target origin to a wheel spindle point based on the captured target image data, when the vehicle is rolled while the wheel is on a substantially flat surface such that the wheel and target rotate a number of degrees. The data processor is further adapted to calculate an alignment parameter for the vehicle based at least in part on the wheel axis of rotation and the coordinates of the wheel spindle point.
WHEEL ALIGNER WITH ADVANCED DIAGNOSTICS AND NO-STOP POSITIONING
A vehicle wheel alignment system has a plurality of cameras, each camera for viewing a respective target disposed at a respective wheel of the vehicle and capturing image data of the target as the wheel and target are continuously rotated a number of degrees of rotation without a pause. The image data is used to calculate a minimum number of poses of the target of at least one pose for every five degrees of rotation as the wheel and target are continuously rotated the number of degrees of rotation without a pause. At least one of the cameras comprises a data processor for performing the steps of preprocessing the image data, and calculating an alignment parameter for the vehicle based on the preprocessed image data.
Method and apparatus for calibrating an inspection system for moving vehicles
A method and apparatus for calibrating laser displacement sensors within a vehicle inspection system. A calibration target structure is positioned within an operative field of view for the laser displacement sensor, providing one or more optical targets onto which illuminating laser beams from the laser displacement sensor are projected. Displacement measurements are acquired with the optical targets disposed at a plurality of positions within the field of view. The resulting displacement measurements, together with known position information for the optical targets, are utilized to calibrate an associated imaging sensor such that the displacement measurements associated with each illuminating laser beam and known positional information agree to within a desired tolerance throughout the operative field of view for the laser displacement sensor.
WHEEL ALIGNER WITH ADVANCED DIAGNOSTICS AND NO-STOP POSITIONING
A vehicle wheel alignment system has a plurality of cameras, each camera for viewing a respective target disposed at a respective wheel of the vehicle and capturing image data of the target as the wheel and target are continuously rotated a number of degrees of rotation without a pause. The image data is used to calculate a minimum number of poses of the target of at least one pose for every five degrees of rotation as the wheel and target are continuously rotated the number of degrees of rotation without a pause. At least one of the cameras comprises a data processor for performing the steps of preprocessing the image data, and calculating an alignment parameter for the vehicle based on the preprocessed image data.
VEHICLE MEASUREMENT DEVICE AND CALIBRATION METHOD
A vehicle measurement device includes a base module, a column module, a cross beam module, and a camera assembly. The column module includes a fixed column, a movable column assembly, and a drive assembly. The fixed column is connected to the base module. The movable column assembly is mounted on the fixed column. The movable column assembly is connected to the drive assembly. The drive assembly is used for driving the movable column assembly to lift or lower relative to the fixed column. The cross beam module is supported by the movable column assembly. The cross beam module is used for supporting a calibration element. The camera assembly is mounted on the cross beam module. The camera assembly is used for capturing wheel information of a vehicle. By means of the structure, the vehicle measurement device can not only calibrate an ADAS, but also perform four-wheel positioning.
Method for aligning a vehicle service system relative to a vehicle
Described is a method for aligning a vehicle service system (1) relative to a vehicle (2) positioned in a service area (8), where the vehicle service system (1) comprises: a calibration structure (3) for calibrating an ADAS sensor of an advanced driver assistance system of the vehicle (2); an apparatus (4) for measuring the alignment of the vehicle (2) and on which an apparatus camera (41) is mounted; wherein the method comprises the following steps: applying a front wheel target (51) and a rear wheel target (52) on a front wheel and on a rear wheel of the vehicle (2); capturing an image through the apparatus camera (41), wherein the image represents the front wheel target (51) and the rear wheel target (52); processing the image to derive information useful for positioning the calibration structure (3) relative to the vehicle (2); placing a positioning device (7) at an operating position, spaced from the calibration structure (3), in front of the apparatus (4) and alongside the first side of the vehicle (2).
Wheel aligner with advanced diagnostics and no-stop positioning
A vehicle wheel alignment system has a plurality of cameras, each camera for viewing a respective target disposed at a respective wheel of the vehicle and capturing image data of the target as the wheel and target are continuously rotated a number of degrees of rotation without a pause. The image data is used to calculate a minimum number of poses of the target of at least one pose for every five degrees of rotation as the wheel and target are continuously rotated the number of degrees of rotation without a pause. At least one of the cameras comprises a data processor for performing the steps of preprocessing the image data, and calculating an alignment parameter for the vehicle based on the preprocessed image data.
Chassis measurement under ambient light
A device for vehicle measurement, in particular for determining the angular position of at least one wheel of a vehicle, includes at least one measuring device having at least one image recording device configured to record images. The recorded images contain the image of at least one mark which has a fixed geometric relationship to a wheel of the vehicle. The device for vehicle measurement further includes at least one evaluation unit configured to evaluate the images recorded by the at least one measuring device. The evaluation unit is further configured to evaluate the intensity of illumination of a background area surrounding the respective mark in addition to imaging the at least one mark.