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:
May. 07, 2024

Filed:

Oct. 19, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Denis Stalz-John, Lotte, DE;

Tamas Kapelner, Hildesheim, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2023.01); G06T 7/20 (2017.01); G06T 7/246 (2017.01); G06V 10/20 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01);
U.S. Cl.
CPC ...
G06T 7/246 (2017.01); B25J 9/1697 (2013.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01); G06T 7/20 (2013.01); G06V 10/255 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01);
Abstract

A method for detecting and re-identifying objects using a neural network. The method includes the steps: extracting features from an image, the features comprising information about at least one object in the image; detecting the at least one object in the image using an anchor-based object detection based on the extracted features, classification data being determined by a classification for detecting the object with the aid of at least one anchor and regression data being determined by a regression; and re-identifying the at least one object by determining embedding data based on the extracted features, the embedding data representing an object description for the at least one feature of the image.


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