IP Library › Granted Patent US 11,117,577
Granted Patent B2
US 11,117,577 · App. 16/282,428 · Granted Sep 14, 2021

Vehicle path processing

Inventors: Nitendra Nath (Troy, MI); Michael Hafner (Ann Arbor, MI); Aaron L. Mills (Ann Arbor, MI); Zhao Wang (Novi, MI); Bahgat Aboushaban (Dearborn, MI)
Assignee: Ford Global Technologies, LLC
B60W30/12G06K9/00798B60W2520/06B60W2552/30
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Quick Facts
Patent No.
US 11,117,577
App. No.
16/282,428
Granted
Sep 14, 2021
Kind
B2
Abstract

A computer includes a processor and a memory, the memory storing instructions executable by the processor to identify an error between a predicted steerable path of a vehicle based on data collected according to a first protocol and a predicted lane path based on data collected according to a second protocol and to identify a path fault when the error exceeds an error threshold for an elapsed time exceeding a time threshold.

Claims (27)

1. A system, comprising a computer including a processor and a memory, the memory storing instructions executable by the processor to:

identify an error between a predicted steerable path of a vehicle based on data collected according to a first protocol and a predicted lane path based on data collected according to a second protocol; and

identify a path fault of the predicted steerable path when the error exceeds an error threshold for an elapsed time exceeding a time threshold.

2. The system of claim 1 , wherein the instructions further include instructions to determine the predicted steerable path based on at least one of a vehicle heading angle, a curvature, or a curvature rate.

3. The system of claim 1 , wherein the second protocol includes a security measure.

4. The system or claim 1 , wherein the time threshold is based on a magnitude of the error.

5. The system of claim 1 , wherein the instructions further include instructions to determine the predicted lane path based on at least one of a lane marking, a lane barrier, and a roadway edge.

6. The system of claim 1 , wherein the instructions further include instructions to apply a low-pass filter to the predicted steerable path.

7. The system of claim 1 , wherein the instructions further include instructions to determine a path offset for the predicted steerable path and a lane offset for the predicted lane path.

8. The system of claim 7 , wherein the instructions further include instructions to identify the error based on the path offset and the lane offset.

9. The system of claim 1 , wherein the instructions further include instructions to determine the predicted steerable path based on steering data and to determine the lane path based on roadway lane image data.

10. The system of claim 1 , wherein the instructions further include instructions to determine the error based on a vehicle speed.

11. The system of claim 1 , wherein the instructions further include instructions to, upon identifying the path fault, transition from an autonomous mode to one of a semi-autonomous or a manual mode.

12. The system of claim 1 , wherein the instructions further include instructions to, upon identifying the path fault, then to identify no path fault when the error is below the error threshold for an elapsed time greater than a second time threshold.

13. A method executable by a computer, comprising:

identifying an error between a predicted steerable path of a vehicle based on data collected according to a first protocol and a predicted lane path based on data collected according to a second protocol;

identifying a path fault of the predicted steerable path when the error exceeds an error threshold for an elapsed time exceeding a time threshold; and

upon identifying the path fault, transitioning from an autonomous mode to one of a semi-autonomous or a manual mode.

14. The method of claim 13 , further comprising determining the predicted steerable path based on at least one of a vehicle heading angle, a curvature, or a curvature rate.

15. The method of claim 13 , wherein the time threshold is based on a magnitude of the error.

16. The method of claim 13 , further comprising determining a path offset for the predicted steerable path and a lane offset for the predicted lane path.

17. A system, comprising:

means for identifying an error between a predicted steerable path of a vehicle based on data collected according to a first protocol and a predicted lane path based on data collected according to a second protocol; and

means for identifying a path fault of the predicted steerable path when the error exceeds an error threshold for an elapsed time exceeding a time threshold.

18. The system of claim 17 , further comprising means for determining the predicted steerable path based on at least one of a vehicle heading angle, a curvature, or a curvature rate.

19. The system of claim 17 , wherein the time threshold is based on a magnitude of the error.

20. The system of claim 17 , further comprising means for determining a path offset for the predicted steerable path and a lane offset for the predicted lane path.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 22, 2019
From: NATH, NITENDRA; HAFNER, MICHAEL; MILLS, AARON L.; ABOUSHABAN, BAHGAT; WANG, ZHAO
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 048404/0412 →
Continuity (1)
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