Method and system for position-selective activation of driver assistance functions and / or driving functions for a vehicle

Abstract

The invention relates to a method for the position-selective activation of at least one driver assistance function and / or driving function for a vehicle (200) having a control unit module (270) for executing at least one function (285) of an ADAS / ADS (280), comprising the following method steps:- Acquiring fleet data (320) of a plurality of vehicles in a fleet and transmitting the fleet data (320) to a data acquisition module (300), wherein the fleet data (320) contains at least information about the use of the function (285) of the ADAS / ADS (280) and position data for geographical locations;- Creating a usage profile (370) from the fleet data (320), wherein an assignment is made between position data and usage information;- Acquiring position data (250) of the vehicle (200) and transmitting the position data (250) to an evaluation module (400);- comparing the position data (250) with the usage profile (370) regarding the use of the function (285) of the ADAS / ADS (280);- generating a positive analysis result (470) if a successful application of the function (285) of the ADAS / ADS (280) for the position data (250) is entered in the usage profile (370);- transmitting the positive analysis result (470) to a function module (500);- activating the function (285) in the control unit module (270) by activation signals (550) of the function module (500) in the spatially selective area of the position data (250);

Claims

[1] Method for position-selective activation of at least one driver assistance function and / or driving function for a vehicle (200) with a control unit module (270) for executing at least one function (285) of an ADAS / ADS (280), comprising the following method steps: - capturing (S10) fleet data (320) of a plurality of vehicles in a fleet and transmitting the fleet data (320) to a data acquisition module (300), wherein the fleet data (320) contains at least information about the use of the function (285) of the ADAS / ADS (280) and position data for geographical locations; - creating (S20) a usage profile (370) from the fleet data (320), whereby an assignment is made between position data and usage information; - detecting (S30) position data (250) of the vehicle (200) and transmitting the position data (250) to an evaluation module (400); - comparing (S40) the position data (250) with the usage profile (370) regarding the use of the function (285) of the ADAS / ADS (280); - generating (S50) a positive analysis result (470) if a successful application of the function (285) of the ADAS / ADS (280) for the position data (250) is stored in the usage profile (370); - transmitting (S60) the positive analysis result (470) to a functional module (500); - Activating (S70) the function (285) in the control unit module (270) by activation signals (550) of the function module (500) in the position-selective area of the position data (250). [2] Method according to claim 1, wherein the data evaluation module (300) comprises a software application (350), and wherein the software application (350) uses neural networks and / or recurrent neural networks and / or convolutional neural networks and / or an AI model for creating the usage profile (370). [3] The method of claim 1 or 2, wherein the software application (350) uses extraction and classification algorithms to extract and classify features from the fleet data (320). [4] Method according to one of claims 1 to 3, wherein the analysis result (470) is calculated in real time and the activation signals (550) are output in real time. [5] Method according to one of claims 1 to 4, wherein the vehicle (200) comprises a sensor device (220) with a camera and a GPS sensor. [6] System (100) for position-selective activation of at least one driver assistance function and / or driving function for a vehicle (200), comprising a control unit module (270) for executing at least one function (285) of an ADAS / ADS (280), at least one sensor device (220), a data acquisition module (300) with a software application (350), an evaluation module with a software application (450), and a function module (500); wherein the data acquisition module (300) is designed to store fleet data (320) of a plurality of vehicles in a fleet, the fleet data (320) containing at least information about the use of the function (285) of the ADAS / ADS (280) and position data for geographical locations, and the data acquisition module (300) is designed to create a usage profile (370) from the fleet data (320), an association being made between position data and usage information;wherein the sensor device (220) is designed to detect position data (250) of the vehicle (200) and transmit the position data (250) to an evaluation module (400); wherein the evaluation module (400) is designed to compare the position data (250) with the usage profile (370) regarding the use of the function (285) of the ADAS / ADS (280) and to generate a positive analysis result (470) if a successful application of the function (285) of the ADAS / ADS (280) for the position data (250) is stored in the usage profile (370); and wherein the function module (500) is designed to activate the function (285) in the control unit module (270) by means of activation signals (550) in the position-selective area of the position data (250) in the case of a positive analysis result (470). [7] System (100) according to claim 6, wherein the data evaluation module (300) comprises a software application (350), and wherein the software application (350) uses neural networks and / or recurrent neural networks and / or convolutional neural networks and / or an AI model for creating the usage profile (370). [8] The system (100) of claim 6 or 7, wherein the software application (350) uses extraction and classification algorithms to extract and classify features from the fleet data (320). [9] System (100) according to one of claims 6 to 8, wherein the analysis result (470) is calculated in real time and the activation signals (550) are output in real time. [10] System (100) according to one of claims 6 to 8, wherein the vehicle (200) comprises a sensor device (220) with a camera and a GPS sensor. [11] ADAS / ADS (280) configured to carry out the method according to any one of claims 1 to 6. [12] A computer program product (900) comprising an executable program code (950) configured to carry out the method according to any one of claims 1 to 6 when executed.

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