Abstract: A vehicle measurement station utilizing at least one displacement sensor disposed on each opposite side of a sensor region of a vehicle inspection lane to acquire displacement measurement data, associated with a moving vehicle passing through the sensor region. Each displacement sensor is configured to acquire measurement data along at least three discrete and vertically spaced measurement axes. 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, such as vehicle velocity, axle alignment, wheel alignment, or dimensions.

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 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 process for calibrating and evaluating a machine-vision vehicle wheel alignment system having front and rear imaging components associated with each of the left and right sides of a vehicle support structure. Each pair of imaging components defines a front and rear field of view, with a common overlapping region associated with each respective side of the vehicle support structure. Optical targets disposed within each of the overlapping field of view regions are observed by the imaging components to establish performance ratings for the system as a whole, for groups of components within the system, and for individual components within the system.

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 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: Methods and apparatus for utilizing vehicle wheel assembly surface profile data acquired by a vehicle wheel service system from a non-contact imaging sensor and a projected pattern of optically distinct elements on the vehicle wheel assembly surface to identify one or more features of the vehicle wheel assembly, to receive operator input, and to facilitate the placement of imbalance correction weights onto the vehicle wheel assembly surface.

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 process for calibrating and evaluating a machine-vision vehicle wheel alignment system having front and rear imaging components associated with each of the left and right sides of a vehicle support structure. Each pair of imaging components defines a front and rear field of view, with a common overlapping region associated with each respective side of the vehicle support structure. Optical targets disposed within each of the overlapping field of view regions are observed by the imaging components to establish performance ratings for the system as a whole, for groups of components within the system, and for individual components within the system.

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: An improved vehicle service system having at least one pattern-projecting, machine-vision sensor for acquiring images of objects and surface during a vehicle service or inspection procedure, and which is configured to process acquired images to identify measurements and/or relative three-dimensional locations associated with the vehicle undergoing service or inspection, vehicle components, surface, or objects in the environment surrounding the vehicle. The improved vehicle service system is further configured to utilized the identified measurements and/or relative three-dimensional locations during a vehicle service or inspection procedure.

Abstract: An optical target for temporary application in non-determined placement on a surface of an object such as a vehicle wheel assembly within the field of view of an imaging sensor of a machine vision vehicle service system. The optical target consists of a flexible body which is relatively thin and generally flat, capable of conforming to the contours of a surface onto which it is secured in releasable manner by a means of adhesion. A set of visible optical elements are disposed on a front face of the target body for observation and imaging by the imaging sensors.

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 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 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 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 system is configured to facilitate placement of a vehicle service apparatus relative to an associated vehicle. The machine vision system is configured to utilize images of optical targets received from one or more cameras to guide the placement of the vehicle service apparatus relative to the associated 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. 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.