The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 15, 2023

Filed:

Oct. 15, 2019
Applicant:

Qualcomm Technologies, Inc., San Diego, CA (US);

Inventors:

Muthu M. Baskaran, Old Tappan, NJ (US);

Thomas Henretty, Brooklyn, NY (US);

Ann Johnson, Saratoga, CA (US);

Athanasios Konstantinidis, Brooklyn, NY (US);

M. H. Langston, Beacon, NY (US);

Janice O. McMahon, Bethesda, MD (US);

Benoit J. Meister, New York, NY (US);

Paul D. Mountcastle, Moorestown, NJ (US);

Aale Naqvi, New York, NY (US);

Benoit Pradelle, Cologne, DE;

Tahina Ramananandro, New York, NY (US);

Sanket Tavarageri, New York, NY (US);

Richard A. Lethin, New York, NY (US);

Assignee:

QUALCOMM Technologies, Inc., San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/72 (2006.01); G01S 7/41 (2006.01); G01S 7/48 (2006.01); B64C 39/02 (2023.01); G01S 3/786 (2006.01); G01S 17/66 (2006.01); B64U 101/20 (2023.01);
U.S. Cl.
CPC ...
G01S 13/723 (2013.01); G01S 7/411 (2013.01); G01S 7/4802 (2013.01); B64C 39/024 (2013.01); B64U 2101/20 (2023.01); G01S 3/7864 (2013.01); G01S 7/4808 (2013.01); G01S 17/66 (2013.01);
Abstract

A system for determining the physical path of an object can map several candidate paths to a suitable path space that can be explored using a convex optimization technique. The optimization technique may take advantage of the typical sparsity of the path space and can identify a likely physical path using a function of sensor observation as constraints. A track of an object can also be determined using a track model and a convex optimization technique.


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