Adaptive Autonomy Control for Driver State Monitoring
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Solution Overview
Problem
Existing driver assistance systems in motor vehicles can only issue warnings for detecting a tired or distracted driver and fail to adapt to individual drivers or changes in driver status, lacking support mechanisms that adjust vehicle functions accordingly.
Innovation Solution
A method that uses sensors to detect user states and adjust the level of autonomy for vehicle functions, allowing the control device to take over or return control based on the detected user state, enabling adaptive control of longitudinal and transverse guidance, and creating user profiles for personalized responses to specific situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driver assistance systems issue warnings for detecting tired or distracted drivers, then driver safety awareness is improved, but the system cannot adapt to individual drivers or changes in driver status
Solution Approach 1:
The system dynamically adjusts the level of autonomy for vehicle functions based on detected user states. Sensors continuously monitor driver condition (e.g., fatigue, distraction) and the control device adapts the degree of automated control in real-time, transitioning between manual and autonomous operation modes to match the driver's current capability
Solution Approach 2:
The system implements a feedback loop where sensors detect user state parameters, the control device processes this information to determine appropriate autonomy levels, and the system adjusts vehicle function control accordingly. This closed-loop approach enables continuous adaptation to individual driver conditions and changes in driver status
2Reliability
If the control device takes over more functions autonomously when driver fatigue is detected, then safety is improved, but the system complexity increases
Solution Approach 1:
The system segments the vehicle's control functions into different autonomy levels, allowing selective automation of specific functions (e.g., longitudinal guidance, transverse guidance) rather than complete system automation. This modular approach to autonomy management reduces overall system complexity while maintaining safety
Solution Approach 2:
The system changes the parameter of autonomy level based on detected user states. Rather than adding complex hardware, the solution adjusts the control mode parameter dynamically, switching between manual and autonomous operation based on driver condition, thereby improving safety without proportionally increasing physical system complexity
Data Source
AI summary
Method for operating a motor vehicle having at least one sensor for detecting a user state and/or at least one parameter from which the user state can be deduced, wherein a function and/or a device of the motor vehicle is automatically controlled by a control device, depending on a detected user state and/or a detected change in the user state, a level of autonomy which specifies to what extent a function and/or a device of the motor vehicle is controlled automatically by a control device of the motor vehicle or is manually controlled by a user, changes at least one function and/or at least one device of the motor vehicle and the function and/or the device is controlled according to the level of autonomy.