Abstract:
A machine vision vehicle wheel alignment system for acquiring measurements associated with a vehicle. The system includes at least one imaging sensor having a field of view and at least one optical target secured to a wheel assembly on a vehicle within the field of view of the imaging sensor. The optical target includes a plurality of visible target elements disposed on at least two surfaces in a determinable geometric and spatial configuration which are calibrated prior to use. A processing unit in the system is configured to receive at least two sets of image data from the imaging sensor, with each set of image data acquired at a different rotational position of the wheel assembly around an axis of rotation and representative of at least one visible target element on each of the two surfaces, from which the processing unit is configured to identify said axis of rotation of the wheel assembly.
Abstract:
A vehicle inspection system configured with a processing system and at least one displacement sensor disposed on opposite sides of a vehicle inspection lane sensor region to acquire displacement measurement data associated with a moving vehicle passing through the vehicle inspection lane. The processing system is configured to receive acquired displacement measurement data to determine characteristics of the moving vehicle, such as vehicle velocity, dynamic axle alignment, dynamic wheel alignment, or dimensions. The processing system is further configured to evaluate the determined dynamic vehicle characteristics in relation to static vehicle characteristics, such as static axle alignment or static wheel alignment, through application of one or more compensation factors based on user selected parameters, default parameters, or identified vehicle features.
Abstract:
A method for detecting the occurrence of deviations from level, straight-line rolling movement of a wheel assembly across a supporting surface during a rolling compensation procedure associated with a vehicle wheel alignment measurement or inspection system by identifying changes in measurements or calculated parameters associated with the wheel assembly which would be unchanged during an ideal level and straight-line rolling movement. Identified changes in the measurements or calculated parameters are evaluated to either warn an operator of the occurrence of a deviation, or to generate a correction factor to account for at least a portion of an effect which the deviations introduce into compensation calculations or subsequent wheel alignment measurements or service procedures.
Abstract:
A vehicle measurement station utilizing at least one displacement sensor systems disposed on each opposite side of a sensor region of a vehicle inspection lane to acquire measurement data, associated with a vehicle passing through the sensor region. Each displacement sensor system is configured to acquire measurement data along at least three discrete and vertically spaced measurement axis in response to a trigger signal indicating the presence of a vehicle moving through the inspection lane. A processing system receives the acquired data for evaluation, identification of outlier data points, and for determining a measurement associated with a characteristic of the moving vehicle.
Abstract:
A machine vision vehicle wheel alignment system for acquiring measurements associated with a vehicle. The system includes at least one imaging sensor having a field of view and at least one optical target secured to a wheel assembly on a vehicle within the field of view of the imaging sensor. The optical target includes a plurality of visible target elements disposed on at least two surfaces in a determinable geometric and spatial configuration which are calibrated prior to use. A processing unit in the system is configured to receive at least two sets of image data from the imaging sensor, with each set of image data acquired at a different rotational position of the wheel assembly around an axis of rotation and representative of at least one visible target element on each of the two surfaces, from which the processing unit is configured to identify said axis of rotation of the wheel assembly.
Abstract:
A machine vision vehicle wheel alignment system for acquiring measurements associated with a vehicle. The system includes at least one imaging sensor having a field of view and at least one optical target secured to a wheel assembly on a vehicle within the field of view of the imaging sensor. The optical target includes a plurality of visible target elements disposed on at least two surfaces in a determinable geometric and spatial configuration which are calibrated prior to use. A processing unit in the system is configured to receive at least two sets of image data from the imaging sensor, with each set of image data acquired at a different rotational position of the wheel assembly around an axis of rotation and representative of at least one visible target element on each of the two surfaces, from which the processing unit is configured to identify said axis of rotation of the wheel assembly.
Abstract:
A method for contactless measurements of a vehicle wheel assembly by acquiring a sequence of images as the vehicle wheel assembly moves within a projected pattern of light. Images of the vehicle wheel assembly are acquired and processed to identify the portions of the images corresponding to the wheel assembly, such as by recognition of the wheel rim edge. The identified portion of each image is cropped and a resulting point cloud of data rotational aligned by an optimization procedure to remove the effect of wheel translation and rotation between each image, as well as to identify a center of rotation and amount of rotation for each image which yields a best-fit result. Superimposing the resulting point clouds produces a generated image with a high density of data points on the optimally fit surfaces of the wheel assembly, which can be used to further refine the axis of rotation determination.
Abstract:
A method and apparatus for determining the alignment of a vehicle wheel using an optical target assembly secured to the vehicle wheel in a non-determined position, the optical target assembly having a dimensionally stable shape and a plurality of optical target elements disposed on a plurality of target surfaces. Images of the optical target elements are acquired by an imaging system, together with target identifying indicia, and utilized together with previously stored target characterization data to determine a spatial orientation of the optical target assembly and an alignment of the vehicle wheel onto which it is secured.
Abstract:
A machine-vision vehicle service system, and methods of operation, incorporating at least one displacement sensor to acquire measurements associated with physical floor surfaces in proximity to a vehicle undergoing service or inspection. The acquired measurements are utilized to guiding placement of ADAS target components on a floor surface accounting for deviations from an established vehicle reference plane.
Abstract:
A machine-vision vehicle service system, and methods of operation, incorporating at least one at least one camera and an optical projector for guiding placement of vehicle service components relative to a vehicle undergoing service. The camera and optical projector are operatively coupled to a processing system configured with software instructions to selectively control a projection axis orientation for the optical projector to enable projection of visible indicia onto various surfaces visible within the field of view of the camera.