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. 21, 2023

Filed:

Oct. 17, 2018
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventor:

Marlon Ramon Ewert, Untergruppenbach, DE;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); H04L 67/10 (2022.01); G06K 9/62 (2022.01); G06N 3/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G07C 5/00 (2006.01); H04L 67/12 (2022.01); G06N 3/008 (2023.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06N 3/008 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G07C 5/008 (2013.01); H04L 67/10 (2013.01); H04L 67/12 (2013.01);
Abstract

A method for training a central artificial intelligence module ('AI module') for highly or fully automated operation of a vehicle, the central AI module to translate input signals into output signals, and the translation is carried out using a processing chain that is adaptable by modifying values of internal processing parameters, wherein the training of the central AI module takes place by modifying the internal processing parameters based on further internal processing parameters of further AI modules, the further AI modules being in a plurality of vehicles and translating input signals into output signals in each case, and the translations taking place using processing chains that are able to be adapted by modifying values of further internal processing parameters, the further AI modules having been trained using input signals that are based on environment data acquired with using environment sensor systems installed in the vehicles.


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