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:
Sep. 09, 2025

Filed:

Jun. 20, 2023
Applicant:

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

Inventors:

David Stonestrom, Mountain View, CA (US);

Ali Shoeb, San Rafael, CA (US);

Marcus Hammond, Redwood City, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); B64D 45/00 (2006.01); B64U 10/20 (2023.01); B64U 101/30 (2023.01); B64U 101/66 (2023.01); G06V 20/17 (2022.01);
U.S. Cl.
CPC ...
G06T 7/73 (2017.01); B64D 45/00 (2013.01); B64U 10/20 (2023.01); G06V 20/17 (2022.01); B64U 2101/30 (2023.01); B64U 2101/66 (2023.01); G06T 2207/10032 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A technique for a UAV includes: acquiring an aerial image of an area below a UAV that includes one or more instances of an object; analyzing the aerial image with an image classifier to classify select pixels of the aerial image as being keypoint pixels associated with keypoints of the object; grouping the keypoint pixels into one or more groups each associated with one of the instances of the object, wherein first keypoint pixels of the keypoint pixels are grouped into a first group of the one or more groups associated with a first instance of the one or more instances of the object; generating an estimate of a relative position of the UAV to the first instance of the object based at least upon a machine vision analysis of the first keypoint pixels; and navigating the UAV into alignment with the first instance based upon the estimate.


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