Abstract:
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.
Abstract:
The instant application describes a method for acquiring via a vehicle wheel alignment system an image of a target including a validation logo, the validation logo being used for recognition by the vehicle wheel alignment system and determination of authenticity of the validation logo by the vehicle wheel alignment system; identifying the validation logo within the image of the target; comparing the identified validation logo with a reference validation logo; computing a similarity metric based on a result of a comparison between the identified validation logo and the reference validation logo; and based on the computed similarity metric, enabling or disabling the vehicle wheel alignment system.
Abstract:
A vehicle wheel alignment system includes a pair of wheel mounted targets, a pair of reference targets mounted to a stationary reference, a pair of gravity sensors, and a pair of vehicle-mounted active heads mounted on first and second sides of the vehicle. The active heads each have an image sensor for producing image data of one of the reference targets and one of the wheel mounted targets. The gravity sensors are disposed on each side of the vehicle in a known relationship to either the respective reference targets or the image sensors. A data processor calculates, using the image data, a plurality of poses of the wheel mounted targets as the vehicle wheels rotate; calculates a vehicle drive direction using the target poses and a measured orientation relative to gravity from the gravity sensors; and calculates a wheel alignment measurement using the vehicle drive direction.
Abstract:
An improved method and system are provided for performing rolling runout compensation for vehicle wheel alignment. A plurality of sets of camber and toe measurements are acquired for a pair of vehicle wheels, each at a different, relatively small rollback angle between measurements; e.g., rolling the vehicle more than 0° and less than 180° from the last wheel position. Best fit sine waves are computed for each of the camber and toe measurements using the acquired data, and the best fit parameters are applied to compute runout at the current wheel angle. The computed runouts are subtracted from the measured camber and toe values to get true camber and toe values of the pair of wheels.