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:
Jul. 28, 2026

Filed:

Dec. 29, 2021
Applicant:

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

Inventors:

Zhiguo Ren, Shanghai, CN;

Alberto Speranzon, Plymouth, MN (US);

Juan Hu, Shanghai, CN;

Vijay Venkataraman, Plymouth, MN (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); B64U 101/30 (2023.01); G06T 3/20 (2006.01); G06T 3/60 (2024.01); G06T 7/73 (2017.01); G06V 20/10 (2022.01); G06V 20/17 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G06T 3/20 (2013.01); G06T 3/60 (2013.01); G06T 7/74 (2017.01); G06V 20/17 (2022.01); G06V 20/176 (2022.01); B64U 2101/30 (2023.01); G06T 2207/10032 (2013.01); G06T 2207/30261 (2013.01);
Abstract

Disclosed are methods, systems, and computer-implemented method for detecting foreign objects on a landing surface. For instance, the method may include capturing an image from one or more cameras associated with a vehicle, detecting the landing surface present in the captured image, retrieving a reference image for the detected landing surface, and extracting a plurality of feature points present in both the captured image and the reference image. The method may further include determining a transformation between the captured image and the reference image by correlating the plurality of feature points between the captured image and the reference image, creating a virtual image by applying the transformation to one of the captured image or the reference image, and comparing the virtual image to the other one of the captured image or the reference image that was not transformed to detect one or more foreign objects.


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