Method for determining control parameters for a control system

A technology for adjusting the system and adjusting parameters, which is applied in the direction of reasoning methods, driver input parameters, instruments, etc., and can solve the problem that individual adaptation is not yet known.

Pending Publication Date: 2021-06-18
ROBERT BOSCH GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Individual adaptation to the driving behavi...

Method used

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  • Method for determining control parameters for a control system
  • Method for determining control parameters for a control system
  • Method for determining control parameters for a control system

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Embodiment Construction

[0046] figure 1 A schematic diagram of the control functions of a control system 100 of a motor vehicle 110 , in particular a control system of a driver assistance system, is shown using distance control as an example. To implement assistance functions, driver assistance systems include surrounding environment sensors such as radar sensors, lidar sensors, laser scanners, video sensors and ultrasonic sensors. As long as the vehicle is equipped with a navigation system, data from this system can also be used by driver assistance systems. In addition, driver assistance systems, which are connected to the on-board electrical system of vehicle 110 preferably via at least one bus (BUS), preferably a CAN bus, can also control on-board systems, such as in particular the steering system, the braking system, the powertrain system and the alarm system. The system actively intervenes.

[0047] In one embodiment, regulating system 100 is designed as a control unit of motor vehicle 110 . ...

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Abstract

The invention relates to a method (200) for using machine learning to determine control parameters (thetaj) for a control system (100), in particular a control system (100) of a motor vehicle (110), in particular a control system (100) for controlling a driving operation of the motor vehicle (110). The method (200)includes: providing (210) travel trajectories (D); deriving (220) reward functions (Rj) from the travel trajectories (D), using an inverse reinforcement learning method; deriving (230) driver type-specific clusters (Cj) based on the reward functions (Rj); determining (240) control parameters (thetaj) for a particular driver type-specific cluster (cj).

Description

technical field [0001] The present disclosure relates to a method according to claim 1 for using machine learning to determine control parameters of a control system, in particular a control system of a motor vehicle, in particular a control system for regulating the driving operation of a motor vehicle. [0002] The disclosure also relates to a method for regulating a motor vehicle with a regulating system according to claim 6 . [0003] The disclosure also relates to an adjustment system according to claim 10 . Background technique [0004] Control systems are used in motor vehicles, for example, as driver assistance systems in order to assist or relieve the driver of the motor vehicle in certain driving situations. [0005] To realize this assistance function, the driver assistance system includes surrounding environment sensors, such as radar sensors, lidar sensors, laser scanners, video sensors and ultrasonic sensors. As long as the vehicle is equipped with a navigati...

Claims

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Application Information

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IPC IPC(8): B60W40/09
CPCB60W40/09B60W2420/403B60W2420/52B60W2050/0083B60W2540/30B60W50/0098G06N3/006G06N20/00G06N5/04
Inventor B·阿尔特M·赫尔曼
Owner ROBERT BOSCH GMBH
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