IP Library › Granted Patent US 12,293,591
Granted Patent B2
US 12,293,591 · App. 18/431,469 · Granted May 6, 2025

Controlling a vehicle based on detected movement of a target vehicle

Inventors: Barak Cohen (Modiin, IL); Gideon Stein (Jerusalem, IL)
Assignee: Mobileye Vision Technologies Ltd.
G06V20/584B60W30/08G05D1/0088G05D1/0246G05D1/228G05D1/249
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Quick Facts
Patent No.
US 12,293,591
App. No.
18/431,469
Granted
May 6, 2025
Kind
B2
Abstract

The present disclosure relates to navigational systems for vehicles. In one implementation, such a navigational system may receive a plurality of images captured by an image capture device onboard the host vehicle, the plurality of images being associated with an environment of the host vehicle; analyze at least one of the plurality of images to identify the target vehicle and at least one wheel component on a side of the target vehicle; determine, based on an analysis of at least two of the plurality of images, a rotation of the at least one wheel component of the target vehicle; and cause at least one navigational change of the host vehicle based on the rotation of the at least one wheel component of the target vehicle.

Claims (38)

1. A system for navigating a host vehicle based on movement of a target vehicle toward a lane being traveled by the host vehicle, the system comprising:

at least one processing device comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processing device to:

receive a plurality of images captured by an image capture device onboard the host vehicle, the plurality of images being associated with an environment of the host vehicle;

analyze at least one of the plurality of images to identify the target vehicle and at least one wheel component on a side of the target vehicle;

determine, based on an analysis of at least two of the plurality of images, a rotation of the at least one wheel component of the target vehicle; and

cause at least one navigational change of the host vehicle based on the rotation of the at least one wheel component of the target vehicle.

2. The system of claim 1 , wherein the memory includes instructions that when executed by the circuitry cause the at least one processing device to analyze at least one of the plurality of images to identify at least one feature of the at least one wheel component and wherein the rotation of the at least one wheel component is determined based on a positional change of the at least one feature.

3. The system of claim 2 , wherein the at least one feature of the at least one wheel component includes a logo on the at least one wheel component.

4. The system of claim 1 , wherein the at least one wheel component includes a tire and wherein rotation of the at least one wheel component is determined based on change in a point of contact between the road and the tire.

5. The system of claim 1 , wherein the memory includes instructions that when executed by the circuitry cause the at least one processing device to determine a speed at which the target vehicle is moving based on the rotation of the at least one wheel component.

6. The system of claim 5 , wherein the memory includes instructions that when executed by the circuitry cause the at least one processing device to determine a lateral safety distance for the vehicle based on the speed of the target vehicle and wherein the at least one navigational change is determined based on the lateral safety distance.

7. The system of claim 6 , wherein the at least one navigational change of the target vehicle is based on the determined lateral safety distance.

8. The system of claim 1 , wherein the at least one wheel component includes at least one of a tire, a hubcap, or a wheel structure.

9. The system of claim 1 , wherein the at least one navigational change includes a change in a heading direction of the host vehicle.

10. The system of claim 1 , wherein the at least one navigational change includes applying brakes of the host vehicle.

11. The system of claim 1 , wherein identifying the target vehicle includes associating at least one bounding box with a shape of the target vehicle.

12. The system of claim 1 , wherein the region including the at least one wheel component of the target vehicle includes a region adjacent to a road surface.

13. The system of claim 1 , wherein the rotation of the at least one wheel component of the target vehicle includes a rotation about a vertical axis in association with a steering maneuver of the target vehicle.

14. A non-transitory machine-readable medium including instructions, which, when executed by a processing device, cause the at least one processor to perform a method for navigating a host vehicle based on movement of a target vehicle toward a lane being traveled by the host vehicle, the method comprising:

receiving a plurality of images captured by an image capture device onboard a host vehicle, the plurality of images being associated with an environment of the host vehicle;

analyzing at least one of the plurality of images to identify the target vehicle and at least one wheel component on a side of the target vehicle;

determining, based on an analysis of at least two of the plurality of images, a rotation of the at least one wheel component of the target vehicle; and

causing at least one navigational change of the host vehicle based on the rotation of the at least one wheel component of the target vehicle.

15. The non-transitory machine-readable medium of claim 14 , wherein the method further comprises analyzing at least one of the plurality of images to identify at least one feature of the at least one wheel component and wherein the rotation of the at least one wheel component is determined based on a positional change of the at least one feature.

16. The non-transitory machine-readable medium of claim 15 , wherein the at least one feature of the at least one wheel component includes a logo on the at least one wheel component.

17. The method of claim 15 , wherein the at least one feature of the at least one wheel component includes a logo on the at least one wheel component.

18. The non-transitory machine-readable medium of claim 14 , wherein the at least one wheel component includes a tire and wherein rotation of the at least one wheel component is determined based on change in a point of contact between the road and the tire.

19. The non-transitory machine-readable medium of claim 14 , wherein the method further comprises determining a speed at which the target vehicle is moving based on the rotation of the at least one wheel component.

20. The non-transitory machine-readable medium of claim 19 , wherein the method further comprises determining a lateral safety distance for the vehicle based on the speed of the target vehicle and wherein the at least one navigational change is determined based on the lateral safety distance.

21. The method of claim 19 , wherein the method further comprises determining a lateral safety distance for the vehicle based on the speed of the target vehicle and wherein the at least one navigational change is determined based on the lateral safety distance.

22. The method of claim 14 , wherein the method further comprises analyzing at least one of the plurality of images to identify at least one feature of the at least one wheel component and wherein the rotation of the at least one wheel component is determined based on a positional change of the at least one feature.

23. The method of claim 14 , wherein the at least one wheel component includes a tire and wherein rotation of the at least one wheel component is determined based on change in a point of contact between the road and the tire.

24. The method of claim 14 , wherein the method further comprises determining a speed at which the target vehicle is moving based on the rotation of the at least one wheel component.

25. A method for navigating a host vehicle based on movement of a target vehicle toward a lane being traveled by the host vehicle, the method comprising:

receiving a plurality of images captured by an image capture device onboard a host vehicle, the plurality of images being associated with an environment of the host vehicle;

analyzing at least one of the plurality of images to identify the target vehicle and at least one wheel component on a side of the target vehicle;

determining, based on an analysis of at least two of the plurality of images, a rotation of the at least one wheel component of the target vehicle; and

causing at least one navigational change of the host vehicle based on the rotation of the at least one wheel component of the target vehicle.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 15, 2024
From: COHEN, BARAK; STEIN, GIDEON
To: MOBILEYE VISION TECHNOLOGIES LTD.
Reel/Frame 066468/0651 →
Continuity (6)
Continuation 17087170 · Nov 2, 2020
Continuation 16437504 · Jun 11, 2019
Continuation 15634400 · Jun 27, 2017
Provisional Application 62445500 · Jan 12, 2017
Provisional Application 62354946 · Jun 27, 2016
Related Publication 20240331405A1 · Oct 3, 2024
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