Method for operating an adjustment system for an interior of a motor vehicle

Patent metadata

Field	Value
Publication number	US-12589677-B2
Application number	US-202218692034-A
Country	US
Kind code	B2
Filing date	Sep 13, 2022
Priority date	Sep 14, 2021
Publication date	Mar 31, 2026
Grant date	Mar 31, 2026

Abstract

A method for operating an adjustment system for an interior of a vehicle, wherein a collision-free adjustment path from an initial configuration to a final configuration is determined in a path planning routine by the control arrangement by way of intermediate configurations, wherein a collision check is performed for the intermediate configurations, in which the respective intermediate configuration is checked for the presence of a collision based on a kinematics model and a geometry model, wherein the collision-free adjustment path is generated based on the intermediate configurations and depending on the results of the collision check. A prediction of the presence of a collision is generated for the intermediate configurations by the control arrangement with the aid of a predetermined collision model based on a trained machine learning model and that the intermediate configurations are subjected to the collision check or rejected depending on the prediction of the collision check.

First claim

The invention claimed is:

1 . A method for operating an adjustment system for an interior of a motor vehicle, wherein the adjustment system has motorized adjustable interior elements, which can be adjusted between different configurations by respective drive arrangements having actuators by way of adjustment kinematics,
wherein a collision-free adjustment path from an initial configuration to a final configuration is determined in a path planning routine by means of the control arrangement by way of intermediate configurations, wherein a collision check is performed for the intermediate configurations, in which the respective intermediate configuration is checked for the presence of a collision based on a kinematics model of the adjustment kinematics and a geometry model of the interior elements, wherein the collision-free adjustment path is generated based on the intermediate configurations and depending on the results of the collision check, wherein the control arrangement controls the drive arrangements in an adjustment routine in order to adjust the motorized adjustable interior elements by way of the adjustment kinematics according to the collision-free adjustment path, wherein a prediction of the presence of a collision is generated for the intermediate configurations by means of the control arrangement with the aid of a predetermined collision estimation model based on a trained machine learning model and wherein the intermediate configurations are subjected to the collision check or rejected depending on the prediction.

2 . The method as claimed in claim 1 , wherein the intermediate configurations are generated based on a probabilistic path planning.

3 . The method as claimed in claim 2 , wherein the intermediate configurations are determined on the basis of a rapidly exploring random tree method and/or probabilistic roadmap method.

4 . The method as claimed in claim 2 , wherein the intermediate configurations correspond to probabilistically generated nodes of the path planning method and/or lie on connecting paths of the probabilistically generated nodes.

5 . The method as claimed in claim 1 , wherein the collision estimation mode based on a trained neural network.

6 . The method as claimed in claim 1 , wherein a collision probability of the intermediate configuration is determined with the aid of the collision estimation model and/or wherein a distance measurement of interior elements is determined for the intermediate configuration with the aid of the collision estimation model.

7 . The method as claimed in claim 6 , wherein at least one threshold value is predetermined for the collision probability and/or the distance measurement, and wherein the respective intermediate configuration is subjected to the collision check or rejected depending on whether the at least one threshold value is exceeded.

8 . The method as claimed in claim 7 , wherein respective threshold values are provided for different sections of a configuration space.

9 . The method as claimed in claim 1 , wherein multiple intermediate configurations are generated, and at least one of the intermediate configurations is selected with the aid of the collision estimation model for the collision check.

10 . The method as claimed in claim 9 , wherein the at least one intermediate configuration is selected on the basis of an optimization of a collision probability and/or the distance measurement.

11 . The method as claimed in claim 1 , wherein the collision estimation model is trained in a training step by way of a training data set.

12 . The method as claimed in claim 11 , wherein the training data set is generated for a predetermined compilation of intermediate configurations on the basis of the performance of the collision check.

13 . The method as claimed in claim 11 , wherein the training step is performed before the adjustment system is commissioned or during the operation of the adjustment system.

14 . The method as claimed in claim 1 , wherein the interior elements arranged in the interior are identified in an identification routine by means of the control arrangement and wherein the collision estimation mode is selected by means of the control unit from multiple trained machine learning models for different arrangements of interior elements depending on the identification that has taken place.

15 . The method as claimed in claim 1 , wherein in the collision check a check is performed for a collision of the interior elements with each other and for a collision of the interior elements with objects and/or persons in the interior.

16 . The method as claimed in claim 15 , wherein the objects and/or persons in the interior are detected by an interior space arrangement.

17 . A motor vehicle for performing a method as claimed in claim 1 .

18 . A control arrangement for operating an adjustment system for an interior of a motor vehicle, wherein the adjustment system has motorized adjustable interior elements, which can be adjusted between different configurations by respective drive arrangements having actuators by way of adjustment kinematics,
wherein the control arrangement determines in a path planning routine a collision-free adjustment path from an initial configuration to a final configuration by way of intermediate configurations, wherein the control arrangement performs for the intermediate configurations a collision check in which the respective intermediate configuration is checked for the presence of a collision based on a kinematics model of the adjustment kinematics and a geometry model of the interior elements, wherein the control arrangement generates the collision-free adjustment path based on the intermediate configurations and depending on the results of the collision check, wherein the control arrangement controls the drive arrangements in an adjustment routine in order to adjust the motorized adjustable interior elements by way of the adjustment kinematics according to the collision-free adjustment path, wherein the control arrangement with the aid of a predetermined collision estimation model based on a trained machine learning model generates a prediction of the presence of a collision for the intermediate configurations and wherein the control arrangement subjects the intermediate configurations to the collision check or rejects them depending on the prediction of the collision check.

19 . A non-transitory computer readable medium containing a computer program product, comprising instructions which cause a control arrangement as claimed in claim 18 to determine in a path planning routine a collision-free adjustment path from an initial configuration to a final configuration by way of intermediate configurations, wherein the control arrangement performs for the intermediate configurations a collision check in which the respective intermediate configuration is checked for the presence of a collision based on a kinematics model of the adjustment kinematics and a geometry model of the interior elements, wherein the control arrangement generates the collision-free adjustment path based on the intermediate configurations and depending on the results of the collision check, wherein the control arrangement controls the drive arrangements in an adjustment routine in order to adjust the motorized adjustable interior elements by way of the adjustment kinematics according to the collision-free adjustment path,
wherein the control arrangement generates a prediction of the presence of a collision for the intermediate configuration

Assignees

• Brose Fahrzeugteile Se & Co Kg Bamberg

Inventors

• Gempel Matthias

Classifications

• B60N2002/0055

  characterised by special measures to ensure that no seat or seat part collides, during its movement, with other seats, seat parts or the vehicle itself · CPC title

• G06N3/045

  Combinations of networks · CPC title

• B60N2/02

  the seat or part thereof being movable, e.g. adjustable (adjustable arm-rests B60N2/75; adjustable head-rests B60N2/806) · CPC title

• B60N2/01

  Arrangement of seats relative to one another · CPC title

• B60N2/0272 Primary

  using sensors or detectors for detecting the position of seat parts · CPC title