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DE-102023130774-B4 - Procedures for determining driver personalities

DE102023130774B4DE 102023130774 B4DE102023130774 B4DE 102023130774B4DE-102023130774-B4

Abstract

Method (200), in particular a computer-implemented method, designed and set up for parameterizing driving functions based on personality components of drivers with different driver personalities, wherein the method comprises the steps: - one determination (210) of at least two personality components of different personality types for at least two drivers; - of determining (220) a value of at least one driving parameter of at least two drivers; and - a determination (230) of at least one parameterization depending on the personality components of the personality types and the expression of the at least one driving parameter of the at least two drivers; wherein the method is characterized in that the at least one parameterization is carried out by means of at least one inverse method on the personality components of the different personality types of the at least two drivers.

Inventors

  • Robin Schwager
  • Tim Brühl
  • Lukas Ewecker
  • Tin Stribor Sohn
  • Stefan Roos

Assignees

  • DR. ING. H.C. F. PORSCHE AKTIENGESELLSCHAFT

Dates

Publication Date
20260513
Application Date
20231107

Claims (14)

  1. Method (200), in particular a computer-implemented method, designed and configured for parameterizing driving functions based on personality traits of drivers with different driving personalities, wherein the method comprises the steps of: - determining (210) at least two personality traits of different personality types for at least two drivers; - determining (220) a value of at least one driving parameter of the at least two drivers; and - determining (230) at least one parameterization depending on the personality traits of the personality types and the value of the at least one driving parameter of the at least two drivers; wherein the method is characterized in that the at least one parameterization is carried out by means of at least one inverse method on the personality traits of the different personality types of the at least two drivers.
  2. Procedure (200) according to Claim 1 , characterized in that the determination (210) of the at least two personality components of different personality types is based on a selection from a personality test (80), a self-identification (90) or a driving behavior analysis.
  3. Procedure (200) according to one of the Claims 1 or 2 , characterized in that the at least one driving parameter is selected from a description of the curvature of driving, the sinusoidal nature of driving, the activation profiles of accelerator, brake and/or steering inputs.
  4. Method (200) according to one of the preceding claims, characterized in that the determination (230) of the at least one parameterization is based on a correlation analysis between the personality types, the personality components of the personality types in the at least two drivers and/or the expression of the at least one driving parameter of the at least two drivers.
  5. Method (200) according to one of the preceding claims, characterized in that a classification machine learning model is trained to assign the personality types and personality components of the drivers to the at least one driving parameter by adding them.
  6. Method (300), in particular a computer-implemented method, designed and configured to assign personality components of personality types to drivers in order to adapt at least one parameter of a driving function, characterized in that at least one parameterization is carried out by means of at least one inverse method on the personality components of the different personality types of at least two drivers, wherein the method comprises the steps of: - determining (310) a value of at least one driving parameter in at least one driver, in particular as at least one further, in particular third, driver; - determining (320) the personality components of at least two personality types in the at least one driver, based on the at least one driving parameter; and - adapting (330) at least one driving function based on the determined personality components of at least two personality types of the driver.
  7. Procedure (300) according to Claim 6 , characterized in that the determination (310) of the value of at least one driving parameter is based on the driver's driving behavior during a journey; and/or wherein at least one parameter of an automated driving function is adapted, selected from at least one maximum lateral acceleration, at least one braking time or at least one acceleration time.
  8. Procedure (300) according to one of the preceding Claims 6 or 7 , characterized in that the determination (320) of the personality components of at least two persons personality types are based on a correlation analysis of the expression of at least one driving parameter and/or that the determination (320) of the personality components of at least two personality types is based on an inverse method.
  9. Procedure (300) according to one of the preceding Claims 6 until 8 , characterized by the step of: - grouping (340) drivers with similar characteristics of the at least one driving parameter in order to adapt the at least one driving function based on the determined personality components of at least two personality types; and/or - grouping (340) drivers with similar personality components in order to adapt the at least one driving function based on the expected similar characteristics of the at least one driving parameter.
  10. Procedure (300) according to one of the preceding Claims 6 until 9 , characterized in that in a trained classification machine learning model, in particular trained according to a method (200) according to Claim 6 , a driver is assigned to a cluster of drivers with similar proportions of personality types.
  11. Computer program product (20), designed and configured to be executed on a machine, wherein, when executing the computer program product (20) on the machine, a method (200, 300) according to one of the preceding claims is carried out.
  12. storage medium and/or control unit (10) comprising a computer program product (20) according to Claim 11 , trained and equipped to carry out a procedure (200, 300) according to one of the Claims 1 until 10 to carry out.
  13. Electronic signal, having a parameterization determined according to a method (200, 300) according to one of the Claims 1 until 5 .
  14. motor vehicle (30), in particular comprising a storage medium and/or a control unit (10) according to Claim 12 , wherein the motor vehicle is equipped and designed to transmit an electronic signal, in particular according to Claim 14 , to receive and/or send; and/or wherein the motor vehicle is equipped and trained to carry a computer program product (20), in particular according to Claim 11 , to execute, in such a way as to carry out a procedure according to one of the Claims 1 until 10 to carry out, in particular to adapt at least one driving function based on personality components of a driver's personality type.

Description

The invention relates to a method designed and configured for parameterizing driving functions based on personality traits of drivers with different driving personalities. The invention relates to a method designed and configured to assign personality traits to drivers. The invention relates to a computer program product. The invention relates to a storage medium and a control unit. The invention relates to an electronic signal. The invention relates to a motor vehicle. It is known from the state of the art to assign a driving profile to an individual driver in order to fulfill the driver's individual wishes, so that he can, for example, drive in a sporty manner or drive in an ECO driving mode to save fuel. The DE 10 2018 202 146 A1 This describes a driver assistance system that automatically selects driving profiles based on the situation in order to precisely fulfill or anticipate the driver's wishes. To do this, the system determines a candidate for the driving profile to be used based on various data sources. A selection is then made from these candidates according to a fixed ranking of the driving profiles. The DE 10 2021 003 073 B3 This describes a method for automatically selecting a driving mode. Here, too, a specific driver or driver type is first identified. A corresponding driver profile can then be loaded, which influences the driving mode. Finally, the driving mode is selected taking into account the driver profile and additional driving information. The DE 10 2010 014 076 A1 describes a method for adapting a vehicle's driving behavior when the driver changes. The DE 10 2014 215 258 A1 describes a method and a device for automatically selecting driving modes. The DE 10 2021 207 781 A1 describes a method, a control device and a system for adapting an assisted or automated driving function of a vehicle. The DE 10 2018 130 622 A1 describes systems and procedures for adapting assistance systems. The DE 10 2019 118 184 A1 describes a system and a procedure for user-specific adjustment of vehicle parameters. The applicant adheres to the safety standards required and applicable on the application date and priority date to provide the best possible protection for both drivers and other road users, and to ensure the highest possible level of road safety. However, the applicant is committed to continuously improving safety. Therefore, the aim is to further enhance safety for both the driver and other road users compared to the described procedures and driver assistance systems. The applicant also seeks to further improve the ability to save energy during vehicle operation, for example, to increase range and further reduce CO2 emissions. This will also enhance the driving experience for drivers. The object of the present invention is to increase safety, for example for a driver but also for other road users. It is an object of the invention to reduce energy consumption. It is an object of the invention to reduce CO2 emissions. Furthermore, it is an object of the invention to improve the driving experience. The foregoing problem is solved by a method with the features of claim 1 and by a method with the features of claim 6. The problem is solved by a computer program product with the features of claim 11 and a storage medium and a control device with the features of claim 12. The problem is solved by an electronic signal with the features of claim 13. The problem is solved by a motor vehicle with the features of claim 14. Further features and details of the invention will become apparent from the dependent claims, the description, and the drawings. Features and details described in connection with the methods according to the invention naturally also apply in connection with the computer program product, the storage medium, the control device, the electronic signal, and the motor vehicle according to the invention. The reverse is also true, so that the disclosure of the individual aspects of the invention always includes, or allows for, reciprocal reference. According to one aspect, the problem is solved by a method with the features of claim 1. A method, in particular a computer-implemented method, is designed and configured for parameterizing driving functions based on the personality traits of drivers with different driving personalities. The method includes the step of determining at least two personality traits of different personality types for at least two drivers. The method includes the step of determining the level of at least one driving parameter for the at least two drivers. The method includes the step of determining at least one parameterization based on the personality traits of the personality types and the level of the at least one driving parameter for the at least two drivers. This at least one parameterization is performed using at least one inverse method on the personality traits of the different personality types in the at least two drivers. The method can, in particular, be a compu