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

US10775494B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10775494-B2
Application numberUS-201815914219-A
CountryUS
Kind codeB2
Filing dateMar 7, 2018
Priority dateMar 7, 2018
Publication dateSep 15, 2020
Grant dateSep 15, 2020

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

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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.

First claim

Opening claim text (preview).

We claim: 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.

Assignees

Inventors

Classifications

  • G01S13/723Primary

    by using numerical data · CPC title

  • Alternative operation using ultrasonic waves · CPC title

  • for two-dimensional [2D] tracking, e.g. combination of angle and range tracking, track-while-scan radar · CPC title

  • Tracking systems using electromagnetic waves other than radio waves · CPC title

  • in the front of the vehicles · CPC title

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What does patent US10775494B2 cover?
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 sens…
Who is the assignee on this patent?
Aptiv Tech Ltd
What technology area does this patent fall under?
Primary CPC classification G01S13/723. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 15 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).