摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
A hybrid wheel alignment system and methodology use passive targets for a first pair of wheels (e.g. front wheels) and active sensing heads for another pair of wheels (e.g. rear wheels). The active sensing heads combine image sensors for capturing images of the targets with at least one spatial relationship sensor for sensing a relationship between the active sensing heads. One or both of the active sensing heads may include inclinometers or the like, for sensing one or more tilt angles of the respective sensing head. Data from the active sensing heads may be sent to a host computer for processing to derive one or more vehicle measurements, for example, for measurement of parameters useful in wheel alignment applications.
摘要:
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.