Method for determining a friction coefficient for a contact between a tire of a vehicle and a roadway, and method for controlling a vehicle function of a vehicle

A method for controlling a vehicle function of a vehicle, the method comprising the following steps:

• receiving a control signal that is generated using a friction coefficient, the friction coefficient being determined by:
• processing sensor signals to generate processed sensor signals, the sensor signals representing at least state data that are read in by at least one detection device and that are correlatable with the friction coefficient, the processed sensor signals representing at least one preliminary friction coefficient, and
• ascertaining the friction coefficient using the processed sensor signals and a regression model;
• and
• controlling the vehicle function using the received control signal,
• wherein the friction coefficient for a geographical region that includes a surrounding area is ascertained in the ascertaining step, the friction coefficient being ascertained for at least one further equally sized geographical region neighboring the geographical region, using at least one already ascertained friction coefficient, in the ascertaining step,
• wherein a plurality of regression models is used in the ascertaining step, a dedicated regression model of the plurality of regression models being used for each of a plurality of geographical regions.

A device configured to determine a friction coefficient for a contact between a tire of a vehicle and a roadway, the device configured to:

• process sensor signals to generate processed sensor signals, the sensor signals representing at least state data that are read in by at least one detection device and that are correlatable with the friction coefficient, the processed sensor signals representing at least one preliminary friction coefficient;
• and
• ascertain the friction coefficient using the processed sensor signals and a regression model,
• wherein the friction coefficient for a geographical region that includes a surrounding area is ascertained in the ascertaining step, the friction coefficient being ascertained for at least one further equally sized geographical region neighboring the geographical region, using at least one already ascertained friction coefficient, in the ascertaining step,
• wherein a plurality of regression models is used in the ascertaining step, a dedicated regression model of the plurality of regression models being used for each of a plurality of geographical regions.

A non-transitory machine-readable memory medium on which is stored a computer program for determining a friction coefficient for a contact between a tire of a vehicle and a roadway, the computer program, when executed by a computer, causing the computer to perform the following steps:

• processing sensor signals to generate processed sensor signals, the sensor signals representing at least state data that are read in by at least one detection device and that are correlatable with the friction coefficient, the processed sensor signals representing at least one preliminary friction coefficient;
• and
• ascertaining the friction coefficient using the processed sensor signals and a regression model,
• wherein the friction coefficient for a geographical region that includes a surrounding area is ascertained in the ascertaining step, the friction coefficient being ascertained for at least one further equally sized geographical region neighboring the geographical region, using at least one already ascertained friction coefficient, in the ascertaining step,
• wherein a plurality of regression models is used in the ascertaining step, a dedicated regression model of the plurality of regression models being used for each of a plurality of geographical regions.