Snap-on Inc.

Snap-on Technologies, Inc.

Other

Snap-on Incororated

David A Jackson

Steven W Rogers

Stephen L Glickman

Brian K Gray

Adam C Brown

Ronald D Swayne

Robert J D'Agostino

Eric R Sellers

Rodney Harrell

Bryan C Minor

George Michael Gill

Bradley R Lewis

James L Dale, Jr

Michael J Robb

Preston C Phillips

Matthew J Lipsey

Hoshang Shroff

James Rodney Harrell

Eric F Bryan

Patrick O'Mahony

Steve L Glickman

David C Fly

Donald L Walchuk

Darwin Y Chen

Chance Robinson

Jason L Weeks

Frederick J Rogers

Donald J Christian

Brian M Bliven

Thomas L Kassouf

Manjula Gururaj

Patrick Murray

Joel A Kunert

Sean P Lecrone

Larry D Klotz

Jonathan A Sperry

Ronald D Edgmon

Donald A Healy

Bernie F Jackson

Gordon F Schmeisser

Michael J Kling, Iii

Steven L Glickman

Stephen K Rigsby

Steven Glickman

Bryan K Gray

Patrick Brendan O'MAHONY

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.

Wheel aligner with advanced diagnostics and no-stop positioning

Vehicle alignment systems and methods are disclosed which operate based on a calculation of 'drive direction,' or the direction in which a vehicle is moving. Since a vehicle can be assumed to be a rigid body, each wheel has the same drive direction. Consequently, an alignment parameter of one wheel can be compared to the same parameter of another wheel by equating their drive direction, eliminating the need for the aligner to “see” both sides of the vehicle at the same time. Embodiments include a system having one or more cameras on a fixture carrying a calibration element for an ADAS system, and one or more targets placed on the vehicle to measure the drive direction of the vehicle. The drive direction is assumed to be parallel to the vehicle thrust line and can be used as the line for orientation of the fixture to the vehicle.

Wheel aligner with improved accuracy and no-stop positioning using a drive direction calculation

Systems and methods are disclosed for calibrating and aligning automotive sensors, such as advanced driver assistance system (ADAS) sensors. Embodiments include a system having an image sensor mounted on a fixture in a known pose relative to the fixture. The image sensor is for viewing a target disposed on a vehicle and having a known pose relative to the vehicle, and for capturing image data of the target. A data processor is provided for performing the steps of calculating, using the image data, a pose of the target; calculating a pose of the image sensor relative to the vehicle using the calculated pose of the target; and generating instructions for positioning the fixture at a predetermined pose relative to the vehicle using the calculated pose of the image sensor relative to the vehicle.

Apparatus and method for calibrating and aligning automotive sensors

Vehicle alignment systems and methods are disclosed which operate based on a calculation of 'drive direction,' or the direction in which a vehicle is moving. Since a vehicle can be assumed to be a rigid body, each wheel has the same drive direction. Consequently, an alignment parameter of one wheel can be compared to the same parameter of another wheel by equating their drive direction, eliminating the need for the aligner to 'see' both sides of the vehicle at the same time. Embodiments include a system having one or more cameras on a fixture carrying a calibration element for an ADAS system, and one or more targets placed on the vehicle to measure the drive direction of the vehicle. The drive direction is assumed to be parallel to the vehicle thrust line and can be used as the line for orientation of the fixture to the vehicle.

Wheel aligner with improved accuracy and no-stop positioning, using a drive direction calculation

Methods and systems measure a vehicle body parameter; e.g., a wheel alignment parameter such as ride height. Embodiments include a system having a target attachable to a vehicle body, and an image sensor for viewing the target and capturing image data thereof. A processor processes the image data, determines an initial spatial position of the target based on the processed image data, compares the initial spatial position of the target with a reference position, and prompts a user to align the target to an adjusted spatial position when the initial spatial position differs from the reference position more than a threshold amount. The vehicle body parameter value is determined based on the target's adjusted spatial position. In certain embodiments, the adjusted spatial position differs from the reference position by a position error value, and the processor mathematically corrects the vehicle body parameter value based on the position error value.

Live ride height measurement

An artificial cave has various features that resemble speleothems (e.g., stalactites, stalagmites, etc.) found in real subterranean caves. Human users may pass through the artificial cave, with each user wearing a wearable transceiver that broadcasts a signal code unique to that user. Fixed transceivers throughout the cave can detect and identify any user who is sufficiently close to that fixed transceiver. Other components of the system collect user identification information from the fixed transceivers for any of several possible purposes (e.g., identifying which user was probably responsible for inappropriate interaction with a speleothem that is adjacent to a given fixed transceiver, where all of the various user of the cave are currently located in the cave, etc.). A count of users currently in the artificial cave passageway may be maintained and used for a number of purposes. Similarly, human detectors may be employed near the system and/or in the artificial cave passage for any of several different purposes.

User identification and tracking system for artificial cave obstacle course

A portable vehicle alignment system has a vertical central column with a carriage movable along its length, and a pair of camera arms pivotably attached to the carriage, each with a camera pod. The camera pods each have a camera for capturing image data of a respective vehicle-mounted target. One pod also has a calibration target disposed in a known relationship to its camera, and the other pod has a calibration camera disposed in a known relationship to its camera for capturing images of the calibration target. The camera arms pivot between an extended position where the cameras are disposed to capture image data of the vehicle targets and the calibration camera is disposed to capture images of the calibration target, and a folded position where the aligner has a width smaller than the width between the camera pods.

Self-calibrating wheel aligner with improved portability

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.

Vehicle wheel alignment methods and systems

Growing community of inventors

Point Roberts, WA, United States of America

David A Jackson