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:
Apr. 21, 2025

Filed:

Mar. 30, 2022
Applicant:

Wing Aviation Llc, Mountain View, CA (US);

Inventors:

Ali Shoeb, San Rafael, CA (US);

Marcus Hammond, Redwood City, CA (US);

Christopher Cobar, Shoreview, MN (US);

Kyle Krafka, Los Altos, CA (US);

Kyle Julian, Mountain View, CA (US);

Kevin Jenkins, Dallas, TX (US);

Assignee:

Wing Aviation LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/17 (2021.12); B64C 39/02 (2022.12); G05D 1/00 (2005.12); G06Q 10/0832 (2022.12); G06T 7/11 (2016.12); G06T 7/70 (2016.12); G06V 10/774 (2021.12); B64U 101/30 (2022.12); B64U 101/60 (2022.12);
U.S. Cl.
CPC ...
G06V 20/17 (2021.12); B64C 39/024 (2012.12); G05D 1/0094 (2012.12); G05D 1/0607 (2012.12); G06Q 10/0832 (2012.12); G06T 7/11 (2016.12); G06T 7/70 (2016.12); G06V 10/774 (2021.12); B64U 2101/30 (2022.12); B64U 2101/60 (2022.12); B64U 2201/10 (2022.12); G06T 2207/10028 (2012.12); G06T 2207/10032 (2012.12); G06T 2207/20081 (2012.12); G06T 2207/20084 (2012.12); G06T 2207/30261 (2012.12);
Abstract

A method includes capturing, by a sensor on an unmanned aerial vehicle (UAV), an image of a delivery location. The method also includes determining, based on the image of the delivery location, a segmentation image. The segmentation image segments the delivery location into a plurality of pixel areas with corresponding semantic classifications. The method additionally includes determining, based on the segmentation image, a percentage of obstacle pixels within a surrounding area of a delivery point at the delivery location, wherein each obstacle pixel has a semantic classification indicative of an obstacle in the delivery location. The method further includes based on the percentage of obstacle pixels being above a threshold percentage, aborting a delivery process of the UAV.


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