Prediction of operator input to a steering element

US12304499B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12304499-B2
Application numberUS-202318313556-A
CountryUS
Kind codeB2
Filing dateMay 8, 2023
Priority dateMay 8, 2023
Publication dateMay 20, 2025
Grant dateMay 20, 2025

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A system can include a computer having a processor coupled to a memory, the memory storing instructions executable by the processor to capture an image of an operator positioned in a steering position. The instructions can additionally be to determine, based on parameters extracted from the captured image, a confidence level that output data from a torque sensor represents torque applied by an operator to a steering element. The instructions can additionally be to actuate a component in a vehicle based on the confidence level.

First claim

Opening claim text (preview).

What is claimed is: 1. A system, comprising a computer including a processor and a memory, the memory storing instructions executable by the processor to: capture an image of an operator positioned in a steering position; determine, based on parameters extracted from the captured image, a correlation between a confidence level that the operator is in contact with a steering element and data output from a torque sensor; and actuate a component in a vehicle based on the determined correlation. 2. The system of claim 1 , wherein the output data from the torque sensor represents torque applied as a function of time, and wherein the steering element includes a steering wheel. 3. The system of claim 1 , wherein the output data from the torque sensor is obtained over a duration, and wherein the image of the operator is captured during the duration. 4. The system of claim 1 , wherein the output data from the torque sensor represents a torsion moment applied to the steering element. 5. The system of claim 1 , wherein the instructions further include instructions to extract parameters of the operator via a non-camera sensor. 6. The system of claim 1 , wherein the output data from the torque sensor indicates a weight applied to the steering element. 7. The system of claim 1 , wherein the instructions further include instructions to obtain input signals from a capacitive sensor of the steering element. 8. The system of claim 1 , wherein the extracted parameters include a head position of the operator. 9. The system of claim 1 , wherein the extracted parameters include an eye gaze direction of the operator. 10. The system of claim 1 , wherein the extracted parameters include a location of an arm of the operator. 11. The system of claim 1 , wherein the instructions further include instructions to estimate a location of a feature of the operator obscured from a field-of-view of a camera capturing the image. 12. The system of claim 1 , wherein the instructions further include instructions to implement a learning model of the operator having one or more hands in contact with the steering element based on one or more of a head position of the operator, an eye gaze direction of the operator, or a location of an arm of the operator. 13. The system of claim 1 , wherein the instructions further include instructions to correlate the data output from the torque sensor prior to actuation of the component. 14. A method comprising: capturing an image of an operator positioned in a steering position; determining, based on parameters extracted from the captured image, a correlation between a confidence level that the operator is in contact with a steering element and data output from a torque sensor; and actuating a component in a vehicle based on the determined correlation. 15. The method of claim 14 , wherein the output data from the torque sensor represents torque applied as a function of time, and wherein the steering element includes a steering wheel. 16. The method of claim 14 , wherein the output data from the torque sensor is obtained over a duration, and wherein the image of the operator is captured during the duration. 17. The method of claim 14 , wherein the image includes a camera image and/or an image derived from a non-camera sensor. 18. The method of claim 14 , wherein the extracted parameters include a head position of the operator, an eye gaze direction of the operator, or an orientation of an arm of the operator. 19. The method of claim 14 , further comprising: estimating a location of a feature of the operator obscured from a field-of-view of a camera capturing the image. 20. The method of claim 14 , further comprising: implementing a learning model of operator contact with the steering element based on one or more of a head position of the operator, an eye gaze direction of the operator, and/or an orientation of an arm of the operator.

Assignees

Inventors

Classifications

  • Image sensing, e.g. optical camera · CPC title

  • Posture, e.g. hand, foot, or seat position, turned or inclined · CPC title

  • Direction of gaze · CPC title

  • Steering systems · CPC title

  • G06V40/18Primary

    Eye characteristics, e.g. of the iris · CPC title

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Frequently asked questions

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What does patent US12304499B2 cover?
A system can include a computer having a processor coupled to a memory, the memory storing instructions executable by the processor to capture an image of an operator positioned in a steering position. The instructions can additionally be to determine, based on parameters extracted from the captured image, a confidence level that output data from a torque sensor represents torque applied by an …
Who is the assignee on this patent?
Ford Global Tech Llc
What technology area does this patent fall under?
Primary CPC classification G06V40/18. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 20 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).