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.

Embodiments include a method for autonomous camera pod tracking of a vehicle during vehicle alignment. The method can include receiving, at a processor of an autonomous camera pod, at least one of vehicle target image data from a vehicle target camera or calibration target image data from a calibration camera, the vehicle target camera being adapted to acquire images of a target mounted to the vehicle, and the calibration camera being adapted to acquire images of a calibration target mounted to a sister autonomous camera pod. An optimal location of the autonomous camera pod can be calculated based on the received vehicle target image data or calibration target image data. The method can include transmitting, when it is determined to move the autonomous camera pod, a motor command to a motor drive of the autonomous camera pod, thereby causing the autonomous camera pod to move to the optimal location.

Embodiments include a method for autonomous camera pod tracking of a vehicle during vehicle alignment. The method can include receiving, at a processor of an autonomous camera pod, at least one of vehicle target image data from a vehicle target camera or calibration target image data from a calibration camera, the vehicle target camera being adapted to acquire images of a target mounted to the vehicle, and the calibration camera being adapted to acquire images of a calibration target mounted to a sister autonomous camera pod. An optimal location of the autonomous camera pod can be calculated based on the received vehicle target image data or calibration target image data. The method can include transmitting, when it is determined to move the autonomous camera pod, a motor command to a motor drive of the autonomous camera pod, thereby causing the autonomous camera pod to move to the optimal location.

A method for operating a detection system for detecting a current position or a current rotational angle of a movably mounted component. The detection system comprises at least three partially incremental motion sensors for the redundant monitoring of the movably mounted component and at least one non-volatile data store.

A computer and a method executable by the computer. The computer may include a processor and memory storing instructions executable by the processor. The instructions may include, to: receive sensor data from a sensor in a vehicle operating in a fully autonomous mode; using the data, determine a misalignment value; and based on the value, perform one of a plurality of vehicle driving functions that include stopping the vehicle.

A wheel alignment detection system for a vehicle includes a plurality of sensors and a controller. Each of the plurality of sensors is configured to generate a signal. The controller is in communication with the plurality of sensors and is configured to: detect an external force exerted on the vehicle based on the signal from at least one of the plurality of sensors; determine whether the external force exerted on the vehicle has a magnitude that is between a first predetermined value and a second predetermined value; and command the vehicle to provide an alert in response to determining that the magnitude of the external force exerted on the vehicle is between the first predetermined value and the second predetermined value, wherein the alert is indicative that a wheel alignment check should be performed.

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.

A wheel servicing method, for a wheeled vehicle with tyres coupled to respective rims, comprises a step of receiving, in a control unit provided with a processor and a memory, reference data uniquely correlated with the vehicle. The method also comprises a step of processing the reference data and generating image data representing a QR code and a step of transmitting the QR code to an output peripheral in order to make the code available to a user for subsequent displaying.

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.

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.