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:
Sep. 27, 2022

Filed:

Jul. 10, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Florian Faion, Karlsruhe, DE;

Alexandru Paul Condurache, Renningen, DE;

Claudius Glaeser, Ditzingen, DE;

Florian Drews, Renningen, DE;

Jasmin Ebert, Heidelberg, DE;

Lars Rosenbaum, Lahntal, DE;

Rainer Stal, Sindelfingen, DE;

Sebastian Muenzner, Leonberg, DE;

Thomas Gumpp, Renningen, DE;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/56 (2022.01); G06V 10/98 (2022.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06V 10/98 (2022.01); G06K 9/6261 (2013.01); G06K 9/6262 (2013.01); G06K 9/6288 (2013.01); G06V 20/56 (2022.01); G06N 3/04 (2013.01);
Abstract

A method for the detection of an object in an environment of a vehicle as a function of sensor signals of a sensor for acquiring the environment of the vehicle. The method includes: processing the sensor signals using a region proposal network to obtain at least one object hypothesis per anchor, the object hypothesis including an object probability and a bounding box; selecting the best object hypothesis on the basis of a quality model, the quality model being a function of the anchor and the bounding box of the object hypothesis; identifying redundant object hypotheses relative to the selected object hypothesis, the redundant object hypotheses being identified as a function of the anchors of the redundant object hypotheses, using a target function assigned to the region proposal network; and fusing the selected object hypothesis with the identified redundant object hypotheses for the object detection.


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