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:
Aug. 29, 2023

Filed:

Oct. 21, 2020
Applicant:

Honeywell International Inc., Charlotte, NC (US);

Inventors:

Carl Arthur Dins, Phoenix, AZ (US);

Alberto Speranzon, Maple Grove, MN (US);

Vijay Venkataraman, Excelsior, MN (US);

Juan Hu, Shanghai, CN;

Zhiyong Dai, Shanghai, CN;

Assignee:

Honeywell International Inc., Charlotte, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/55 (2017.01); G06T 7/73 (2017.01); G05D 1/10 (2006.01); G01S 13/89 (2006.01); G01S 17/89 (2020.01); G06V 20/13 (2022.01);
U.S. Cl.
CPC ...
G06V 20/13 (2022.01); G01S 13/89 (2013.01); G01S 17/89 (2013.01); G05D 1/106 (2019.05); G06T 7/55 (2017.01); G06T 7/73 (2017.01); G06T 2207/10044 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30181 (2013.01);
Abstract

An unmanned aerial vehicle (UAV) navigation system is configured to automatically identify a suitable UAV landing site, for example, in forced-landing (e.g., emergency) scenarios. In some examples, the system receives two or more overlapping images depicting a landscape underneath an airborne unmanned aerial vehicle (UAV); generates, based on the two or more overlapping images, a depth map for the landscape; identifies, based on the depth map, regions of the landscape having a depth variance below a threshold value; determines, for each of the regions of the landscape having a depth variance below the threshold value, a landing zone quality score indicative of the depth variance and a semantic type of the region of the landscape; identifies, based on the landing zone quality scores, a suitable location for landing the UAV; and causes the UAV to automatically navigate toward and land on the suitable location.


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