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:
Nov. 18, 2025

Filed:

Apr. 17, 2023
Applicant:

Southwest Research Institute, San Antonio, TX (US);

Inventors:

Harold A. Garza, San Antonio, TX (US);

David R. Chambers, San Antonio, TX (US);

Douglas A. Brooks, San Antonio, TX (US);

Assignee:

SOUTHWEST RESEARCH INSTITUTE, San Antonio, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/776 (2022.01); G06V 10/774 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/776 (2022.01); G06V 10/7747 (2022.01); G06V 10/7796 (2022.01); G06V 10/82 (2022.01); G06V 2201/02 (2022.01);
Abstract

In an approach to integrating real-world properties into machine learning training, a real-world image is received. The real-world image is compared to a simulated image, where the comparison is performed using a discriminator network of a generative adversarial network (GAN). A generator network of the GAN is trained with results of the comparison of the real-world image to the simulated image. Responsive to determining that the real-world image is not optimal, the real-world image is iteratively tuned, using the generator network of the GAN, until it is determined that the real-world image is optimal, where the real-world image is optimal if the real-world image meets a predetermined threshold for accuracy of one or more image parameters of the simulated image versus the real-world image. The discriminator network of the GAN is trained with the real-world image.


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