IP Library Granted Patent US 10,914,813
Granted Patent B2
US 10,914,813 · App. 16/106,308 · Granted Feb 9, 2021

Classifying potentially stationary objects tracked by radar

Inventors: Wenbing Dang (North Hollywood, CA); Jan K. Schiffmann (Newbury Park, CA); Kumar Vishwajeet (Pasadena, CA); Keerthi Raj Nagaraja (San Francisco, CA); Franz P. Schiffmann (Port Hueneme, CA)
Assignee: APTIV TECHNOLOGIES LIMITED
G01S5/0294B60W40/04G01S5/0247G01S5/0278
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Quick Facts
Patent No.
US 10,914,813
App. No.
16/106,308
Granted
Feb 9, 2021
Kind
B2
Abstract

An illustrative example method of tracking a detected object comprises determining that a tracked object is near a host vehicle, determining an estimated velocity of the tracked object, and classifying the tracked object as frozen relative to stationary ground when the estimated velocity is below a preselected object threshold and a speed of the host vehicle is below a preselected host threshold.

Claims (30)

1. A method of tracking a detected object, the method comprising:

determining that a tracked object is near a host vehicle;

determining an estimated velocity of the tracked object;

classifying the tracked object as frozen relative to stationary ground when the estimated velocity is below a preselected object threshold and a speed of the host vehicle is below a preselected host threshold, wherein when the tracked object is classified as frozen, periodically updating an estimate of speed, curvature, and yaw rate for the tracked object; and

classifying the tracked object as not frozen when the speed of the host vehicle exceeds the preselected host threshold or the estimated velocity of the tracked object exceeds the preselected object threshold.

2. The method of claim 1 , wherein classifying the tracked object as frozen comprises freezing a determined orientation, length, width, and centroid position of the tracked object with respect to stationary ground.

3. The method of claim 1 , comprising estimating the speed, curvature, yaw rate, and position of the object using a Kalman filter.

4. The method of claim 1 , wherein the object is a second vehicle.

5. The method of claim 4 , wherein the second vehicle is oriented in a direction parallel to the host vehicle.

6. The method of claim 1 , wherein the estimated velocity of the object is an over the ground velocity.

7. The method of claim 1 , wherein the estimated velocity of the object is a velocity relative to the host vehicle.

8. The method of claim 1 , wherein the preselected host threshold is equal to the preselected object threshold.

9. The method of claim 1 , wherein when the tracked object is classified as frozen, a position and orientation of the tracked object are stored and not updated.

10. The method of claim 4 , wherein the preselected object threshold is selected to indicate that the tracked object is stopped.

11. The method of claim 10 , wherein the preselected host threshold is selected to indicate that the host vehicle is stopped.

12. A system for tracking a detected object, the system comprising:

a tracking device configured to detect an object; and

a processor configured to:

determine that the tracked object is near a host vehicle;

determine an estimated velocity of the tracked object;

classify the tracked object as frozen relative to stationary ground when the estimated velocity is below a preselected object threshold and a speed of the host vehicle is below a preselected host threshold, wherein the processor is configured to periodically update an estimate of speed, curvature, and yaw rate for the tracked object when the tracked object is classified as frozen; and

classifying the tracked object as not frozen when the speed of the host vehicle exceeds the preselected host threshold or the estimated velocity of the tracked object exceeds the preselected object threshold.

13. The system of claim 12 , wherein the processor is configured to freeze a determined orientation, length, width, and centroid position of the tracked object with respect to stationary ground.

14. The system of claim 12 , wherein the processor is configured to estimate the speed, curvature, yaw rate, and position of the object using a Kalman filter.

15. The system of claim 12 , wherein the object is a second vehicle.

16. The system of claim 15 , wherein the second vehicle is oriented in a direction parallel to the host vehicle.

17. The system of claim 12 , wherein the estimated velocity of the object is an over the ground velocity.

18. The system of claim 12 , wherein the estimated velocity of the object is a velocity relative to the host vehicle.

19. The system of claim 12 , wherein the preselected host threshold is equal to the preselected object threshold.

20. The system of claim 15 , wherein the preselected object threshold is selected to indicate that the tracked object is stopped and the preselected host threshold is selected to indicate that the host vehicle is stopped.

Assignments (5)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 11, 2024
From: APTIV MANUFACTURING MANAGEMENT SERVICES S.À R.L.
To: APTIV TECHNOLOGIES AG
Reel/Frame 066551/0219 →
MERGER Recorded Feb 11, 2024
From: APTIV TECHNOLOGIES (2) S.À R.L.
To: APTIV MANUFACTURING MANAGEMENT SERVICES S.À R.L.
Reel/Frame 066566/0173 →
ENTITY CONVERSION Recorded Feb 11, 2024
From: APTIV TECHNOLOGIES LIMITED
To: APTIV TECHNOLOGIES (2) S.À R.L.
Reel/Frame 066746/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 27, 2020
From: DELPHI TECHNOLOGIES LLC
To: APTIV TECHNOLOGIES LIMITED
Reel/Frame 052044/0428 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 21, 2018
From: DANG, WENBING; SCHIFFMANN, JAN K.; VISHWAJEET, KUMAR; NAGARAJA, KEERTHI RAJ; SCHIFFMANN, FRANZ P.
To: DELPHI TECHNOLOGIES, LLC
Reel/Frame 046641/0134 →
Continuity (1)
Related Publication 20200064436A1 · Feb 27, 2020
Cited By (1)
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