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:
Feb. 07, 2023

Filed:

Feb. 12, 2021
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 ...
B64C 39/02 (2006.01); B64D 47/08 (2006.01); B64D 31/06 (2006.01); G06T 17/00 (2006.01); G06T 19/20 (2011.01); G06T 7/55 (2017.01); G05D 1/00 (2006.01); H04N 5/00 (2011.01); G05B 17/02 (2006.01); G05D 1/10 (2006.01); H04N 5/232 (2006.01); H04N 5/247 (2006.01); G06T 7/73 (2017.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
G05B 17/02 (2013.01); B64C 39/024 (2013.01); B64D 31/06 (2013.01); B64D 47/08 (2013.01); G05B 13/0265 (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); H04N 5/23222 (2013.01); H04N 5/23299 (2018.08); H04N 5/247 (2013.01); B64C 2201/027 (2013.01); B64C 2201/127 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20221 (2013.01); G06T 2219/2004 (2013.01);
Abstract

In some examples, an unmanned aerial vehicle (UAV) employs one or more image sensors to capture images of a scan target and may use distance information from the images for determining respective locations in three-dimensional (3D) space of a plurality of points of a 3D model representative of a surface of the scan target. The UAV may compare a first image with a second image to determine a difference between a current frame of reference position for the UAV and an estimate of an actual frame of reference position for the UAV. Further, based at least on the difference, the UAV may determine, while the UAV is in flight, an update to the 3D model including at least one of an updated location of at least one point in the 3D model, or a location of a new point in the 3D model.


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