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:
Apr. 26, 2022

Filed:

Sep. 21, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Carsten Hasberg, Ilsfeld-Auenstein, DE;

Piyapat Saranrittichai, Korntal-Muenchingen, DE;

Tayyab Naseer, London, GB;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/70 (2017.01); G01C 11/06 (2006.01); G05D 1/02 (2020.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); G01C 11/06 (2013.01); G05D 1/0221 (2013.01); G06N 3/08 (2013.01); G05D 2201/0208 (2013.01); G05D 2201/0215 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30181 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method for training a neural convolutional network for determining, with the aid of the neural convolutional network, a localization pose of a mobile platform using a ground image. Using a first multitude of aerial image training cycles, each aerial image training cycle includes: providing a reference pose of the mobile platform; and providing an aerial image of the environment of the mobile platform in the reference pose; using the aerial image as an input signal of the neural convolutional network; determining the respective localization pose with the aid of an output signal of the neural convolutional network; and adapting the neural convolutional network to minimize a deviation of the respective localization pose determined using the respective aerial image from the respective reference pose.


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