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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.

Patent No.:

US 12266131 B1

PDFFull Text
Date of Patent:
Apr. 01, 2025

Filed:

Oct. 19, 2021

Autonomous aerial navigation in low-light and no-light conditions

Applicant:

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

Inventors:

Abraham Galton Bachrach, Redwood City, CA (US);

Adam Parker Bry, Redwood City, CA (US);

Gareth Benoit Cross, Mountain View, CA (US);

Peter Benjamin Henry, San Francisco, CA (US);

Kristen Marie Holtz, Menlo Park, CA (US);

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

Hayk Martirosyan, San Francisco, CA (US);

Vladimir Nekrasov, Adelaide, AU;

Samuel Shenghung Wang, Mountain View, CA (US);

Assignee:

Skydio, Inc., San Mateo, CA (US);

Attorney:

Young Basile Hanlon & MacFarlane, P.C.

Primary Examiner:

Todd Melton

Assistant Examiner:

Jason R Roberson

Int. Cl.
CPC ...
G06T 7/70 (2017.01); B64U 10/13 (2023.01); B64U 50/37 (2023.01); B64U 70/90 (2023.01); B64U 70/97 (2023.01); B64U 70/99 (2023.01); B64U 80/25 (2023.01); B64U 101/30 (2023.01); G01J 1/42 (2006.01); G05D 1/00 (2024.01); G06T 7/50 (2017.01); G06V 20/17 (2022.01); H04N 23/56 (2023.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); B64U 70/90 (2023.01); B64U 70/97 (2023.01); B64U 70/99 (2023.01); G01J 1/4204 (2013.01); G06T 7/50 (2017.01); G06V 20/17 (2022.01); H04N 23/56 (2023.01); B64U 10/13 (2023.01); B64U 50/37 (2023.01); B64U 80/25 (2023.01); B64U 2101/30 (2023.01); B64U 2201/10 (2023.01); B64U 2201/20 (2023.01); G05D 1/0038 (2013.01); G06T 2207/10032 (2013.01);
Abstract

Autonomous aerial navigation in low-light and no-light conditions includes using night mode obstacle avoidance intelligence and mechanisms for vision-based unmanned aerial vehicle (UAV) navigation to enable autonomous flight operations of a UAV in low-light and no-light environments using infrared data.

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