Patent · US Active

Method for determining control parameters for a control system

US11760364B2 · kind B2 · utility

0Cited by

2References

11Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Benedikt Alt · Heimsheim, DE
Michael Herman · Sindelfingen, DE

Key dates

Filing date	Nov 30, 2020
Grant date	Sep 19, 2023
Priority date	—
Expiry date	Jan 1, 2042

Classification

Technology area (CPC B)Performing Operations; Transporting
CPC primaryB60W2540/30
WIPO fieldTransport
WIPO sectorMechanical engineering

Abstract

A computer-implemented method for using machine learning to determine control parameters for a control system, in particular of a motor vehicle, in particular for controlling a driving operation of the motor vehicle. The method includes: providing a set of travel trajectories; deriving reward functions from the travel trajectories, using an inverse reinforcement learning method; deriving driver type-specific clusters based on the reward functions; determining control parameters for a particular driver type-specific cluster.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.