IP Library Granted Patent US 10,775,494
Granted Patent B2
US 10,775,494 · App. 15/914,219 · Granted Sep 15, 2020

Method and system for determining the pointing angle of a moving object

Inventors: Jan K. Schiffmann (Newbury Park, CA); Wenbing Dang (North Hollywood, CA); Kumar Vishwajeet (Pasadena, CA); Keerthi Raj Nagaraja (San Francisco, CA); Franz P. Schiffmann (Port Hueneme, CA)
Assignee: APTIV TECHNOLOGIES LIMITED
G01S13/723G01S13/589G01S13/931G01S15/66G01S15/931G01S17/66G01S17/931G01S2013/9321G01S2013/9323G01S2013/9324G01S2013/93271
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Quick Facts
Patent No.
US 10,775,494
App. No.
15/914,219
Granted
Sep 15, 2020
Kind
B2
Abstract

An illustrative example method of tracking a moving object includes determining a heading angle of a centroid of the object from a tracking sensor, determining a raw difference value corresponding to a difference between a pointing angle of a selected feature on the object and the heading angle, wherein the raw difference is based on a trajectory curvature of the centroid from the tracking sensor and a distance between the centroid and the selected feature, determining a filtered difference between the pointing angle and the heading angle using a low pass filter, and determining the pointing angle by subtracting the filtered difference from the heading angle.

Claims (40)

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

determining a heading angle of a centroid of the object from a tracking sensor;

determining a raw difference value corresponding to a difference between a pointing angle of a selected feature on the object and the heading angle, wherein the raw difference is based on a trajectory curvature of the centroid from the tracking sensor and a distance between the centroid and the selected feature;

determining a filtered difference between the pointing angle and the heading angle using a low pass filter; and

determining the pointing angle by subtracting the filtered difference from the heading angle.

2. The method of claim 1 , wherein determining the raw difference comprises determining a product of the curvature and the distance.

3. The method of claim 1 , wherein determining the filtered difference comprises

determining a plurality of the raw difference values; and

filtering the plurality of raw difference values to remove noise from the raw difference values.

4. The method of claim 3 , wherein the low pass filter is time-based.

5. The method of claim 3 , wherein the low pass filter is distance-based.

6. The method of claim 1 , wherein

the object is a vehicle having a front wheel axle and a rear wheel axle;

the selected feature is a center of the rear wheel axle; and

the center of the rear wheel axle is assumed to be located at a center of a rear of the object.

7. The method of claim 6 , wherein

a sideslip angle of the center of the rear wheel axle is assumed to be zero.

8. The method of claim 7 , wherein the trajectory curvature is constant over the entire vehicle.

9. A system for tracking a moving object, the system comprising:

a tracking sensor configured to detect the moving object; and

a processor configured to:

determine a heading angle of a centroid of the object based on information from the tracking sensor;

determine a raw difference value corresponding to a difference between a pointing angle of a selected feature on the object and the heading angle, wherein

the raw difference is based on a trajectory curvature of the centroid and a distance between the centroid and the selected feature, and

the trajectory curvature is based on information from the tracking sensor;

determine a filtered difference between the pointing angle and the heading angle using a low pass filter; and

determine the pointing angle by subtracting the filtered difference from the heading angle.

10. The system of claim 9 , wherein the processor is configured to determine the raw difference by determining a product of the curvature and the distance.

11. The system of claim 9 , wherein the processor is configured to determine the filtered difference by

determining a plurality of the raw difference values; and

filtering the plurality of raw difference values to remove noise from the raw difference values.

12. The system of claim 11 , wherein the low pass filter is time-based.

13. The system of claim 11 , wherein the low pass filter is distance-based.

14. The system of claim 9 , wherein

the object is a vehicle having a front wheel axle and a rear wheel axle;

the selected feature is a center of the rear wheel axle; and

the center of the rear wheel axle is assumed to be located at a center of a rear of the object.

15. The system of claim 14 , wherein

a sideslip angle of the center of the rear wheel axle is assumed to be zero.

16. The system of claim 15 , wherein the trajectory curvature is constant over the entire vehicle.

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 May 7, 2018
From: SCHIFFMANN, JAN K.; DANG, WENBING; VISHWAJEET, KUMAR; NAGARAJA, KEERTHI RAJ; SCHIFFMANN, FRANZ P.
To: DELPHI TECHNOLOGIES, LLC
Reel/Frame 045731/0007 →