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).

A procedure for calibrating a vehicle onboard sensor 202 by facilitating the placement of a calibration fixture 110 on a floor relative to a stationary vehicle 100 using a laser emitter 102 secured to a front steerable wheel 104 of the vehicle on the same lateral side as the vehicle onboard sensor. A beam projection axis X of the laser projector is aligned at a known orientation relative to a geometric characteristic of the vehicle 100, such that the beam projection axis X is directed over a placement location P of the calibration fixture on the floor, either inherently or by guided steering of the supporting steerable wheel. A distance between the calibration fixture 110 and a reference point associated with the vehicle 100 is measured, and a current position of the calibration fixture on the floor along the beam projection axis X is adjusted as required to position the calibration fixture for calibration of the vehicle sensor 202 at a selected distance from the reference point along the beam projection axis X.

A support structure having a vertical element supporting a set of cameras associated with a vehicle measurement or inspection system together with at least one target structure required for realignment or recalibration of onboard vehicle safety system sensors. A camera crossbeam carried by the support structure locates the set of cameras as required to view a vehicle undergoing measurement or inspection. The target structure is affixed to the vertical element of the support structure, at an elevation suitable for observation by at least one vehicle onboard sensors during a realignment or recalibration procedure. A set of rollers facilitates positioning of the target structure on a supporting floor surface during a realignment or recalibration procedure.

A camera calibration tool for calibrating one or more cameras of a mobile machine comprising calibration targets and a net. Each of the calibration targets comprises identifiable indicia. The net is adapted to be coupled to the mobile machine. The net has one or more configurations that define predetermined target locations, with location markers, in a predetermined layout. The calibration targets are positioned respectively at the predetermined target locations in the predetermined layout to calibrate the one or more cameras by use of the calibration targets.

An optical sensor calibration apparatus in the form of a wheel clamp. The wheel clamp apparatus is configured to determine a center point of a wheel of a vehicle, and to provide a measurement reference with respect to the center point. The measurement reference may be used to position other apparatuses in an optical sensor calibration system configured to calibrate an optical sensor of the vehicle.

A method of instance segmentation in an image and a system for instance segmentation of images. The method includes identifying, with a processor, a starting pixel associated with an object in an image, the image having a plurality of rows of pixels, the starting pixel located in a row of the plurality of rows; identifying, with the processor, at least one pixel located in an adjacent row to the row in which the starting pixel is located, the at least one pixel being part of the same object as the starting pixel; iterating the previous two identification steps using the at least one identified adjacent row pixel as a start pixel for the next iteration; and connecting, with the processor, the at least one identified adjacent row pixels to form polylines representing the object.

A wheel alignment system includes a side-to-side reference including an active reference pod and a passive reference pod disposed on opposite sides of the vehicle. The active reference pod includes a reference image sensor fixedly attached to a reference target, for mounting on a first side of the vehicle such that the reference image sensor produces image data including a perspective representation of the passive reference pod disposed on a second/opposite side of the vehicle. In operation, alignment cameras on the opposite sides of the vehicle capture perspective representations of targets mounted to vehicle wheels and of targets of the active and passive reference pods. A computer processes the image data to compute an alignment measurement of the vehicle based on a spatial relationship between the active reference pod and the passive reference pod determined according to the image data produced by the reference image sensor.

A verification hub for a motor vehicle hub runout tester includes an outer ring, an end plate and a clamping portion fixed to each other, and the clamping portion is detachably fixed to the end plate; the clamping portion includes a first positioning hole for positioning and clamping, and the cylindricity of the first positioning hole is smaller than a preset value; the outer circumference of the outer ring includes at least two turns of measuring cylindrical surfaces having preset axial lengths and buses parallel to an axis of the first positioning hole, the radial distances between the axes of the measuring cylindrical surfaces and the axis of the first positioning hole are greater than a preset value, and circular runout test values of the measuring cylindrical surfaces are preset first harmonic runout values.

A simulation hub includes an end plate, a clamping portion and a measuring disc, in which the clamping portion and the measuring disc are both detachably fixed to the end plate; the clamping portion includes a first positioning hole for positioning and clamping, the first positioning hole is a cylindrical hole, and the cylindricity of the first positioning hole is smaller than a preset value; the outer circumference of the measuring disc includes at least a measuring cylindrical surface having a preset axial length and a bus parallel to an axis of the first positioning hole, and circular runout test values of the measuring cylindrical surface are preset first or second harmonic runout values; and the outer diameter of the measuring cylindrical surface is adapted to the inner diameter of the first positioning hole.

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.