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:
Feb. 10, 2026

Filed:

Dec. 04, 2020
Applicant:

Cariad SE, Wolfsburg, DE;

Inventor:

Michael Holicki, Berlin, DE;

Assignee:

Cariad SE, Wolfsburg, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/77 (2022.01); G01C 21/00 (2006.01); G05D 1/00 (2006.01); G06N 3/084 (2023.01); G06V 10/44 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G01C 21/3848 (2020.08); G05D 1/0246 (2013.01); G06V 10/454 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 2201/12 (2022.01);
Abstract

A method for training an artificial neural generator network for the generating of synthetic landmark images is provided, in which landmark images are extracted from at least one training map as training data, which form a first training data set, and the generator network as a generator of a generative adversarial network learns with the aid of the first training data set and with the aid of real, non-annotated image data, recorded by a sensor device, to generate synthetic landmark images which are suited to reproducing the probability distribution underlying the first training data set. The invention also relates to a method for training an artificial neural localization network by the trained generator network and a method for determining a position of a mobile unit with at least one sensor device and at least one environment map by the trained localization network.


Find Patent Forward Citations

Holicki, Michael. (2026). Position determination by means of neural networks (U.S. Patent No. 12547897). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12547897

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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