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:
Aug. 17, 2021

Filed:

May. 11, 2017
Applicants:

Zf Friedrichshafen Ag, Friedrichshafen, DE;

Lucas Automotive Gmbh, Koblenz, DE;

Inventors:

Matthias Schlegel, Blaustein, DE;

Jochen Abhau, Bregenz, AT;

Heinz-Joachim Gilsdorf, Donnersdorf, DE;

Julian King, Rankweil, AT;

Jochen Köhler, Dornbirn, AT;

Horst Krimmel, Tettnang, DE;

Gerhard Niederbrucker, Friedrichshafen, DE;

Lara Ruth Turner, Immenstaad, DE;

Volker Wagner, Ravensburg, DE;

Robert Zdych, Friedrichshafen, DE;

Vanessa Adler, Niederwerth, DE;

Sascha Heinrichs-Bartscher, Neuwied, DE;

Ralf Raffauf, Urmitz, DE;

Holger Simon, Elz, DE;

Walter Stein, Niederwerth, DE;

Assignees:

ZF FRIEDRICHSHAFEN AG, Friedrichshafen, DE;

LUCAS AUTOMOTIVE GMBH, Koblenz, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 40/068 (2012.01); B60W 50/00 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
B60W 40/068 (2013.01); B60W 50/0097 (2013.01); G06N 7/005 (2013.01); B60W 2050/0051 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2420/54 (2013.01); B60W 2510/20 (2013.01); B60W 2520/10 (2013.01); B60W 2520/105 (2013.01); B60W 2520/125 (2013.01); B60W 2520/14 (2013.01); B60W 2520/26 (2013.01); B60W 2520/28 (2013.01); B60W 2530/20 (2013.01); B60W 2540/30 (2013.01); B60W 2552/15 (2020.02); B60W 2552/20 (2020.02); B60W 2552/30 (2020.02); B60W 2552/40 (2020.02); B60W 2555/20 (2020.02); B60W 2556/50 (2020.02); B60W 2556/65 (2020.02);
Abstract

A method for estimating a probability distribution of the maximum coefficient of friction (μ) at a current and/or future waypoint (s, s*) of a vehicle. According to the method, a first probability distribution (WV) for the maximum coefficient of friction (μ) at the waypoint (s) of the vehicle is determined by a Bayesian network from a first data set, which is, or was determined, for one, in particular current, waypoint (s) of the vehicle and which characterizes the maximum coefficient of friction (μ) at the waypoint (s) of the vehicle.


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