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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 12548327 B1

PDFFull Text
Date of Patent:
Feb. 10, 2026

Filed:

Feb. 07, 2022

Aerial vehicle smart landing

Applicant:

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

Inventors:

Kristen Marie Holtz, Redwood City, CA (US);

Hayk Martirosyan, Emerald Hills, CA (US);

Jack Louis Zhu, Redwood City, CA (US);

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

Matthew Joseph Donahoe, Redwood City, CA (US);

Abraham Galton Bachrach, San Francisco, CA (US);

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

Ryan David Kennedy, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:

Hussein Elchanti

Int. Cl.
CPC ...
G06V 20/40 (2022.01); B64U 70/90 (2023.01); G06V 10/22 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/13 (2022.01); G06V 20/17 (2022.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01); B64U 10/14 (2023.01); B64U 50/30 (2023.01); B64U 50/34 (2023.01); B64U 101/30 (2023.01);
U.S. Cl.
CPC ...
G06V 20/41 (2022.01); B64U 70/90 (2023.01); G06V 10/225 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/13 (2022.01); G06V 20/17 (2022.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01); B64U 10/14 (2023.01); B64U 50/30 (2023.01); B64U 50/34 (2023.01); B64U 2101/30 (2023.01); B64U 2201/10 (2023.01); B64U 2201/20 (2023.01); B64U 2201/202 (2023.01);
Abstract

A technique is introduced for autonomous landing by an aerial vehicle. In some embodiments, the introduced technique includes processing a sensor data such as images captured by onboard cameras to generate a ground map comprising multiple cells. A suitable footprint, comprising a subset of the multiple cells in the ground map that satisfy one or more landing criteria, is selected and control commands are generated to cause the aerial vehicle to autonomously land on an area corresponding to the footprint. In some embodiments, the introduced technique involves a geometric smart landing process to select a relatively flat area on the ground for landing. In some embodiments, the introduced technique involves a semantic smart landing process where semantic information regarding detected objects is incorporated into the ground map.

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