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:
Oct. 01, 2024

Filed:

Jun. 12, 2020
Applicant:

Volkswagen Aktiengesellschaft, Wolfsburg, DE;

Inventors:

Fabian Hüger, Wolfenbüttel, DE;

Peter Schlicht, Wolfsburg, DE;

Nico Maurice Schmidt, Berlin, DE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/56 (2022.01); B60W 40/02 (2006.01); B60W 50/02 (2012.01); B60W 60/00 (2020.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
G06V 20/56 (2022.01); B60W 40/02 (2013.01); B60W 50/0205 (2013.01); B60W 60/001 (2020.02); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/993 (2022.01); B60W 2050/0088 (2013.01); B60W 2050/0215 (2013.01); B60W 2420/403 (2013.01); B60W 2555/20 (2020.02); B60W 2556/10 (2020.02); B60W 2556/20 (2020.02);
Abstract

A method for operating a driver assistance system of a vehicle is disclosed, wherein sensor data are recorded from the surroundings of the vehicle, the recorded sensor data are verified, the verified sensor data are analyzed by a neural network and analyzed sensor data are generated. Based on the analyzed sensor data, control data are generated for controlling the vehicle. During verification of the sensor data, at least first sensor data, which were recorded at a first, earlier point in time, are compared with second sensor data, which were recorded at a second, later point in time, the result of the comparison is cross-checked with a database in which data on perturbations to input data of a neural network are stored, wherein it is checked whether the second sensor data were generated at least in part by a perturbation to the first sensor data that is stored in the database.


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