IP Library › Granted Patent US 11,715,215
Granted Patent B2
US 11,715,215 · App. 17/365,439 · Granted Aug 1, 2023

Untrained systems and methods for vehicle speed estimation

Inventors: Jérome Revaud (Meylan, FR); Yohann Cabon (Montbonnot-Saint-Martin, FR)
Assignee: NAVER CORPORATION
G06T7/246G06T7/277G06T7/285G08G1/052G06T2207/10021G06T2207/20084G06T2207/30252
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Quick Facts
Patent No.
US 11,715,215
App. No.
17/365,439
Granted
Aug 1, 2023
Kind
B2
Abstract

A speed estimation system includes: a detection module configured to determine bounding boxes of an object moving on a surface in images, respectively, captured using a camera; a solver module configured to, based on the bounding boxes, determine a homography of the surface by solving an optimization problem, where the solver module is not trained; and a speed module configured to, using the homography, determine a speed that the object is moving on the surface.

Claims (32)

1. A speed estimation system, comprising:

a detection module configured to determine bounding boxes of an object moving on a surface in images, respectively, captured using a camera;

a solver module configured to, based on the bounding boxes, determine a homography of the surface by solving an optimization problem,

wherein the solver module is not trained; and

a speed module configured to, using the homography, determine a speed that the object is moving on the surface.

2. The speed estimation system of claim 1 wherein the solver module configured to determine the homography using an optimization algorithm.

3. The speed estimation system of claim 2 wherein the optimization algorithm is configured based on an assumption that the surface is planar.

4. The speed estimation system of claim 2 wherein the optimization algorithm is configured based on an assumption that pixels of the images are square.

5. The speed estimation system of claim 2 wherein the optimization algorithm is configured based on an assumption that images captured by the camera do not have horizontal skew and do not have vertical skew.

6. The speed estimation system of claim 2 wherein the optimization algorithm is configured based on an assumption that a principal point is at a center of the image.

7. The speed estimation system of claim 2 wherein the optimization algorithm is configured based on an assumption of zero roll of the camera.

8. The speed estimation system of claim 1 wherein the solver module includes a plurality of encoder modules configured to determine the homography.

9. The speed estimation system of claim 8 wherein the encoder modules have the Transformer architecture.

10. The speed estimation system of claim 1 wherein the solver module is configured to filter the homography before the homography is used to determine the speed that the object is moving on the surface.

11. The speed estimation system of claim 1 wherein the object is a vehicle.

12. A speed estimation method, comprising:

determining bounding boxes of an object moving on a surface in images, respectively, captured using a camera;

without training, based on the bounding boxes, determining a homography of the surface by solving an optimization problem; and

using the homography, determine a speed that the object is moving on the surface.

13. The speed estimation method of claim 12 wherein determining the homography includes determining the homography using an optimization algorithm.

14. The speed estimation method of claim 13 wherein the optimization algorithm is configured based on an assumption that the surface is planar.

15. The speed estimation method of claim 13 wherein the optimization algorithm is configured based on an assumption that pixels of the images are square.

16. The speed estimation method of claim 13 wherein the optimization algorithm is configured based on an assumption that images captured by the camera do not have horizontal skew and do not have vertical skew.

17. The speed estimation method of claim 13 wherein the optimization algorithm is configured based on an assumption that a principal point is at a center of the image.

18. The speed estimation method of claim 13 wherein the optimization algorithm is configured based on an assumption of zero roll of the camera.

19. The speed estimation method of claim 12 wherein determining the homography includes determining the homography using a plurality of encoder modules configured to determine the homography.

20. The speed estimation method of claim 19 wherein the encoder modules have the Transformer architecture.

21. The speed estimation method of claim 12 further comprising filtering the homography before the homography is used to determine the speed that the object is moving on the surface.

22. A speed estimation system, comprising:

a means for determining bounding boxes of an object moving on a surface in images, respectively, captured using a camera;

an untrained means for, based on the bounding boxes, determining a homography of the surface by solving an optimization problem; and

a means for, using the homography, determining a speed that the object is moving on the surface.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 1, 2021
From: REVAUD, JÉROME; CABON, YOHANN
To: NAVER CORPORATION
Reel/Frame 056736/0483 →
Continuity (1)
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