Method and system for determining the pointing angle of a moving object
US-2019277639-A1 · Sep 12, 2019 · US
US10775494B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10775494-B2 |
| Application number | US-201815914219-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 7, 2018 |
| Priority date | Mar 7, 2018 |
| Publication date | Sep 15, 2020 |
| Grant date | Sep 15, 2020 |
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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.
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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.
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