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:
May. 16, 2023

Filed:

Dec. 30, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Mahanth K. Gowda, Champaign, IL (US);

Justin G. Manweiler, Somers, NY (US);

Justin D. Weisz, Scarsdale, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 19/54 (2010.01); G01S 19/14 (2010.01); G06T 7/70 (2017.01); G01S 19/53 (2010.01); G01S 19/43 (2010.01);
U.S. Cl.
CPC ...
G01S 19/54 (2013.01); G01S 19/14 (2013.01); G01S 19/53 (2013.01); G06T 7/70 (2017.01); G01S 19/43 (2013.01);
Abstract

A method for applying GPS UAV attitude estimation to accelerate computer vision. The UAV has a plurality of GPS receivers mounted at fixed locations on the UAV. The method includes receiving GPS signals from each GPS satellite in view of the UAV, the GPS measurements comprising pseudo-range and carrier phase data representing the distance between each GPS receiver and each GPS satellite. Carrier phase and pseudo-range measurements are determined for each GPS receiver based on the pseudo-range and carrier phase data. The GPS carrier phase and pseudo-range measurements are compared pair-wise for each pair of GPS receiver and satellite. An attitude of the UAV is determined based on the relative distance measurements. A 3D camera pose rotation matrix is determined based on the attitude of the UAV. Computer vision image search computations are performed for analyzing the image data received from the UAV in real time using the 3D camera pose rotation matrix.


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