Driver Assistance Control Rules for Personalized Automated Driving
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Solution Overview
Problem
Driver assistance systems in highly automated or fully automated vehicles fail to adequately consider the subjective perception and driving style preferences of vehicle occupants, leading to potential dissatisfaction due to decisions based on objective criteria without human understanding or adaptation.
Innovation Solution
A method and system that detect setting and body parameters to establish boundary conditions for generating control data, incorporating driving style attributes like safety, efficiency, and drivability, allowing the system to simulate future scenarios and adjust the vehicle's trajectory to align with human expectations and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If driver assistance systems operate in highly automated or fully automated modes based on objective sensor data and predicted vehicle behavior, then the system can reliably perform lateral and longitudinal control without driver monitoring, but the system fails to consider subjective perception and driving style preferences of occupants leading to dissatisfaction
Solution Approach 1:
The system performs preliminary actions by detecting and storing driving style attributes during manual driving phases before automated driving is engaged. Boundary conditions characterizing the driver's preferences are established in advance, allowing the automated system to adapt its control behavior to match the driver's style when automation is activated, thus resolving the contradiction between high automation and adaptability to personal preferences.
2Reliability
If the driver assistance system uses sensor data and predicted behavior to control the vehicle, then automated control is achieved, but the subjective perception and satisfaction of the driver are not considered
Solution Approach 1:
The system implements feedback by continuously monitoring driving style attributes during both manual and automated driving phases. The detected preferences are used to adjust and optimize control behavior in real-time, ensuring that the automated system maintains reliability while adapting to the driver's subjective expectations, thereby improving driver satisfaction without compromising control reliability.
3Adaptability or versatility
If the system establishes boundary conditions based on detected parameters and body data, then control data can be optimized for individual drivers, but the system complexity increases
Solution Approach 1:
The system applies parameter changes by utilizing body parameter data (such as biometric measurements) to dynamically adjust driving style attributes and boundary conditions. This approach enables individual driver adaptation through changes in control parameters rather than through complex structural modifications, thus achieving high adaptability while managing system complexity through parameter-based customization.
Data Source
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AI summary
The invention relates to a method (100) for producing control data for rule-based driver assistance for guiding a vehicle (2), particularly by means of a driver assistance system which, according to the invention, comprises the following operating steps: detection (101) of values of at least one adjustment parameter for guiding the vehicle and/or a body parameter which at least partially characterises the body functions of a vehicle passenger, particularly the driver; detection (102) of values of at least one input parameter which at least partially characterises the driving scenario; determining (103) at least one boundary condition for adjusting the at least one adjustment parameter according to the at least one input parameter on the basis of the detected values; and emission (104) of control data for guiding the vehicle, which takes into account the at least one boundary condition as a rule.