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:
Dec. 22, 2020

Filed:

Feb. 24, 2017
Applicants:

Qualcomm Incorporated, San Diego, CA (US);

Yin Huang, Beijing, CN;

Liang Zhang, San Diego, CA (US);

Xiaoyi Zhu, Beijing, CN;

Ruowei Wang, Beijing, CN;

Jiangtao Ren, Beijing, CN;

Inventors:

Yin Huang, Beijing, CN;

Liang Zhang, San Diego, CA (US);

Xiaoyi Zhu, Beijing, CN;

Ruowei Wang, Beijing, CN;

Jiangtao Ren, Beijing, CN;

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/232 (2006.01); B64C 39/02 (2006.01); H04N 5/14 (2006.01); B64D 47/08 (2006.01); H04N 5/353 (2011.01); B64D 1/02 (2006.01);
U.S. Cl.
CPC ...
H04N 5/23267 (2013.01); B64C 39/024 (2013.01); B64D 47/08 (2013.01); H04N 5/144 (2013.01); H04N 5/23238 (2013.01); H04N 5/23254 (2013.01); H04N 5/23258 (2013.01); H04N 5/23261 (2013.01); B64C 2201/027 (2013.01); B64C 2201/108 (2013.01); B64C 2201/123 (2013.01); B64C 2201/127 (2013.01); B64C 2201/141 (2013.01); B64D 1/02 (2013.01); H04N 5/3532 (2013.01);
Abstract

Embodiments include devices and methods for adaptive image processing in an unmanned autonomous vehicle (UAV). In various embodiments, an image sensor may capture an image, while a processor of the UAV obtains attitude information from one or more attitude sensors. Such information may include the relative attitude of the UAV and changes in attitude. The processor of the UAV may determine a UAV motion mode based, at least in part, on the obtained attitude information. The UAV motion mode may result in the modification of yaw correction parameters. The processor of the UAV may further execute yaw filtering on the image based, at least in part, on the determined motion mode.


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