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. 10, 2026

Filed:

Jan. 25, 2022
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Holger Digel, Kusterdingen, DE;

Simon Weissenmayer, Flein, DE;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 19/39 (2010.01);
U.S. Cl.
CPC ...
G01S 19/393 (2019.08); G01S 19/396 (2019.08);
Abstract

A method for determining at least one system state by way of a Kalman filter assembly, wherein at least one measured value measured by at least one sensor of the system is supplied to the Kalman filter assembly is disclosed. The method includes (a) performing a first estimation of the system state by way of a first Kalman filter of the Kalman filter assembly, a first estimation result and at least one associated first item of information about the reliability of the first estimation result being output, (b) performing a second estimation of the system state by way of a second Kalman filter of the Kalman filter assembly, a second estimation result and at least one associated second item of information about the reliability of the second estimation result being output, the second Kalman filter differing from the first Kalman filter in at least one setting parameter, and (c) fusing the first estimation result and the second estimation result to produce an overall estimation result for the system state, and fusing the first item of information about the reliability of the first estimation result and the second item of information about the reliability of the second estimation result to produce an overall item of information about the reliability of the overall estimation result.


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