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:
Mar. 31, 2026

Filed:

Feb. 17, 2023
Applicant:

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

Inventors:

Alberto Speranzon, Maple Grove, MN (US);

Carl Arthur Dins, Phoenix, AZ (US);

Juan Hu, Shanghai, CN;

Arjun Bindu Jyothikumar, Seattle, WA (US);

Assignee:

HONEYWELL INTERNATIONAL INC., Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); B64U 10/00 (2023.01); B64U 101/30 (2023.01); G06N 20/00 (2019.01); G06T 7/262 (2017.01);
U.S. Cl.
CPC ...
G06T 7/246 (2017.01); B64U 10/00 (2023.01); G06N 20/00 (2019.01); G06T 7/262 (2017.01); B64U 2101/30 (2023.01); G06T 2200/24 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Disclosed are methods and systems for utilizing an uncertainty map to select a best set of optical flow estimates for one or more vehicles. For instance, a method may include receiving one or more images captured by one or more cameras of at least one vehicle, analyzing the one or more images by inputting the one or more images into a trained machine-learning model, wherein the trained machine-learning model is configured to process the one or more images to determine an optical flow map and an uncertainty map, determining a feature map based on the optical flow map, determining an improved feature map by applying the uncertainty map to the feature map, transforming the improved feature map by applying at least one transformation or optimization to the improved feature map, and based on the transformed improved feature map, estimating a pose value, a velocity value, or an attitude value.


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