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:

Nov. 26, 2021
Applicant:

Continental Autonomous Mobility Germany Gmbh, Ingolstadt, DE;

Inventors:

Christian Scharfenberger, Lindau, DE;

Michelle Karg, Lindau, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/00 (2022.01); G06V 10/26 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/273 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/56 (2022.01);
Abstract

A machine learning method, a method, and an apparatus for correcting input image data, which are negatively influenced by rain, incident light and/or dirt, from a camera, for example a vehicle-mounted environment-capturing camera are disclosed. The method providing input image data captured by the camera to a trained artificial neural network. The trained artificial neural network is configured to convert the input image data into output image data without negative influence and to determine a certainty measure c which is dependent on the degree of wetting by water, incident light and/or contamination for an image of the input image data and characterizes the certainty of the network that the image correction of the network is accurate. The trained artificial neural network is configured to output the output image data and the determined certainty measure c.


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