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:
Nov. 28, 2023

Filed:

Mar. 13, 2023
Applicant:

Skydio, Inc., Redwood City, CA (US);

Inventors:

Peter Henry, San Francisco, CA (US);

Jack Zhu, San Francisco, CA (US);

Brian Richman, San Francisco, CA (US);

Harrison Zheng, Palo Alto, CA (US);

Hayk Martirosyan, San Francisco, CA (US);

Matthew Donahoe, Redwood City, CA (US);

Abraham Bachrach, Redwood City, CA (US);

Adam Bry, Redwood City, CA (US);

Ryan David Kennedy, Redwood City, CA (US);

Himel Mondal, Windsor, CA;

Quentin Allen Wah Yen Delepine, Cupertino, CA (US);

Assignee:

SKYDIO, INC., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/13 (2022.01); G05D 1/00 (2006.01); G05B 17/02 (2006.01); B64C 39/02 (2023.01); B64D 47/08 (2006.01); B64D 31/06 (2006.01); G05D 1/10 (2006.01); G06T 17/00 (2006.01); G06T 7/55 (2017.01); G06T 7/73 (2017.01); G05B 13/02 (2006.01); G06T 19/20 (2011.01); H04N 23/60 (2023.01); H04N 23/90 (2023.01); H04N 23/695 (2023.01); G06V 20/64 (2022.01); B64U 10/13 (2023.01); B64U 101/30 (2023.01);
U.S. Cl.
CPC ...
G05D 1/0094 (2013.01); B64C 39/024 (2013.01); B64D 31/06 (2013.01); B64D 47/08 (2013.01); G05B 13/0265 (2013.01); G05B 17/02 (2013.01); G05D 1/0088 (2013.01); G05D 1/101 (2013.01); G06T 7/55 (2017.01); G06T 7/74 (2017.01); G06T 17/00 (2013.01); G06T 19/20 (2013.01); G06V 20/13 (2022.01); G06V 20/64 (2022.01); H04N 23/64 (2023.01); H04N 23/695 (2023.01); H04N 23/90 (2023.01); B64U 10/13 (2023.01); B64U 2101/30 (2023.01); G06T 2207/10032 (2013.01); G06T 2207/20221 (2013.01); G06T 2219/2004 (2013.01);
Abstract

In some examples, an unmanned aerial vehicle (UAV) may identify a scan target. The UAV may navigate to two or more positions in relation to the scan target. The UAV may capture, using one or more image sensors of the UAV, two or more images of the scan target from different respective positions in relation to the scan target. For instance, the two or more respective positions may be selected by controlling a spacing between the two or more respective positions to enable determination of parallax disparity between a first image captured at a first position and a second image captured at a second position of the two or more positions. The UAV may determine a three-dimensional model corresponding to the scan target based in part on the determined parallax disparity of the two or more images including the first image and the second image.


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