Misaligned tire detection method and apparatus

• US 9,984,296 B2
• Filed: 10/09/2015
• Issued: 05/29/2018
• Est. Priority Date: 10/09/2015
• Status: Expired due to Fees

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Santamaria, Omar, Felix, Rodrigo
• Primary Examiner(s): Tabatabai, Abolfazl
• Application Number:
  US14/879,537
• Publication Number:
  US 20170103268A1
• Time in Patent Office: 963 Days
• Field of Search: 382103, 382104, 701 36, 701 38, 701 41, 701 42
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2540/18 Steering angle
• CPC Class Codes: B60W 40/12 related to parameters of the vehicle itself , e.g. tyre models
• CPC Class Codes: G06T 2207/30244 Camera pose
• CPC Class Codes: G06T 2207/30256 Lane; Road marking
• CPC Class Codes: G06T 7/246 using feature-based methods, e.g. the tracking of corners or segments
• CPC Class Codes: G06V 20/588 Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/0866 the electronic data carrier being a digital video recorder in combination with video camera
• CPC Class Codes: G07C 5/12 in graphical form
• CPC Class Codes: H04N 5/77 between a recording apparatus and a television camera

Abstract

An alignment tool is disclosed configured to provide accurate tire alignment analysis based on the comparison of video recordings capturing a direction of travel and data obtained from various vehicle on-board components.

Claims

1. A vehicle system comprising:

an angle sensor positioned to measure an alignment angle of a steering wheel;

memory including a table associating each of a plurality of the alignment angles with a range of acceptable tire alignment angles; and

a processor configured to;

select an image including a lane edge from video captured by a camera; and

determine a tire alignment angle based on pixel placement of the lane edge in the image.

2. The vehicle system of claim 1, wherein the memory is configured to store a digital video.

3. The vehicle system of claim 1, wherein the processor is configured to detect the lane edge from the selected image.

4. The vehicle system of claim 1, wherein the processor is configured to:

identify pixels comprising the lane edge;

determine locations at which pixels comprising lane edge leave the selected image; and

determine the tire alignment angle based on the determined locations at which pixels comprising the lane edge leave the selected image.

5. The vehicle system of claim 3, wherein lane edge corresponds to at least one of a solid outer road edge line or a dashed divider road line.

6. The vehicle system of claim 1, wherein the processor is configured to:

compare the determined tire alignment angle to the steering wheel alignment angle; and

determine whether a tire misalignment exists based on the comparison.

7. The vehicle system of claim 6, further comprising a display device;

and

wherein the processor is configured to control display of a notification message on the display device identifying the tire misalignment exists when the tire misalignment is determined to exist.

8. The vehicle system of claim 1, wherein the processor is configured to:

parse the table to identify a default steering wheel angle corresponding to the alignment angle of the steering wheel;

identify the range of acceptable default tire alignment angles corresponding to the default steering wheel angle in the table;

compare the determined tire alignment angle to the range of acceptable default tire alignment angles; and

determine a misalignment exists when the determined tire alignment angle is outside the range of acceptable default tire alignment angles.

9. The vehicle system of claim 1, further comprising a modem configured to communicate with a neuronal server;

wherein the processor is configured to control the modem to upload the selected image to the neuronal server.

10. A method of tire alignment analysis, the method comprising:

capturing, with a camera, video;

measuring, with a steering wheel angle sensor, an alignment angle of a steering wheel;

accessing, in memory, a default table that includes a plurality of default steering wheel angles each having assigned a range of acceptable default tire alignment angles;

analyzing, with a processor, the video to identify a desired feature;

selecting an image from the video including the desired feature; and

determining a tire alignment angle based on pixel placement of the desired feature in the selected image.

11. The method of claim 10, wherein the camera is positioned within a vehicle cabin to record out a front windshield.

12. The method of claim 10, wherein the desired feature is a road edge line, and the method further comprises detecting at least one road edge line from the selected image.

13. The method of claim 12, further comprising:

identifying pixels comprising the at least one road edge line;

determining locations at which pixels comprising the at least one road edge line leave the selected digital image; and

determining the tire alignment angle based on the determined locations at which pixels comprising the at least one road edge line leave the selected digital image.

14. The method of claim 12, wherein the at least one road edge line corresponds to at least one of a solid outer road edge line or a dashed divider road line.

15. The method of claim 10, further comprising:

comparing the determined tire alignment angle to the steering wheel alignment angle; and

determining whether a tire misalignment exists based on the comparison.

16. The method of claim 15, further comprising:

generating a notification message identifying the tire misalignment exists when the tire misalignment is determined to exist; and

displaying, on a display device, the notification message when the tire misalignment is determined to exist.

17. The method of claim 10, further comprising:

parsing the default table to identify a default steering wheel angle corresponding to the steering wheel alignment angle;

identifying a range of acceptable default tire alignment angles corresponding to the default steering wheel angle in the default table;

comparing the determined tire alignment angle to the range of acceptable default tire alignment angles; and

determining a misalignment exists when the determined tire alignment angle is outside the range of acceptable default tire alignment angles.

18. The method of claim 10, further comprising:

controlling a modem to upload the selected digital image to a neuronal server.