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:
Mar. 18, 2025

Filed:

Jul. 12, 2023
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventor:

Tamas Kapelner, Hildesheim, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06T 3/12 (2024.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); H04N 5/265 (2006.01); H04N 23/45 (2023.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G06T 3/12 (2024.01); G06T 11/00 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); H04N 5/265 (2013.01); H04N 23/45 (2023.01);
Abstract

A method for detecting an environment using images from at least two image sensors. The method includes: providing a first image of the environment from a first image sensor; providing a second image of the environment from a second image sensor; wherein the first image sensor and the second image sensor are configured to detect the environment with different detection ranges; defining a virtual surface, which is arranged between the environment and the at least two image sensors; generating a virtual overall image on the virtual surface based on a projection transformation of respective pixels of the first image and a projection transformation of respective pixels of the second image from a relevant image plane of the relevant image sensor onto the virtual surface; and representing the environment based on the virtual overall image and on a neural network trained to represent the environment, to detect the environment.


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