Hands-Off Steering Warning Timing Based on Driver Fatigue
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Solution Overview
Problem
Conventional hands-off time warning systems in vehicles use a static time interval for issuing warnings, which fails to account for dynamic situations and real-time driver fatigue and environmental conditions, potentially leading to delayed warnings in hazardous scenarios.
Innovation Solution
A method where a vehicle computer determines a real-time level of driver fatigue and operating parameters, dynamically calculating a time interval for issuing a hands-off steering wheel detection warning based on these factors, using sensors and machine learning models to adjust the warning timing accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static time interval is used for hands-off warning, then the system is simple and easy to implement, but the warning timing does not adapt to dynamic situations and driver fatigue levels
Solution Approach 1:
The patent implements a dynamic time interval system that adjusts the warning threshold based on real-time driver fatigue levels and environmental conditions. Instead of using a fixed static interval, the system continuously monitors driver state through sensors (eye tracking, heart rate, steering wheel interaction) and modifies the time interval accordingly, allowing the system to adapt to changing conditions while maintaining operational simplicity through automated adjustments
Solution Approach 2:
The system changes the critical parameter of time interval based on measured driver fatigue levels and environmental factors. When driver fatigue is detected or environmental conditions deteriorate, the system automatically reduces the time interval threshold, causing warnings to be issued earlier. This parameter adjustment allows the system to respond to dynamic situations without requiring complex structural modifications
2Reliability
If a static time interval is used for hands-off warning, then the system is easy to operate, but warnings are issued too late in hazardous scenarios
Solution Approach 1:
The system incorporates continuous feedback loops that monitor driver fatigue levels, environmental conditions, and steering wheel interaction patterns. This feedback is processed to dynamically adjust the warning time interval, ensuring warnings are issued at appropriate times based on current conditions. The automated feedback mechanism maintains reliability while preserving ease of operation, as the system self-adjusts without requiring manual intervention or complex user configuration
Solution Approach 2:
The system performs preliminary assessment of driver fatigue and environmental conditions before determining the appropriate warning time interval. By proactively evaluating these factors and pre-calculating the optimal interval, the system ensures warnings are issued at the correct time without requiring real-time complex calculations during critical moments, thus maintaining both reliability and operational simplicity
Data Source
AI summary
Techniques are described for providing a hands-off steering wheel detection warning. An example method can include a vehicle computer determining a real-time level of fatigue of a driver of an autonomous vehicle. The method can further include the vehicle computer determining an operating parameter associated with an environment in which the autonomous vehicle is traveling. The method can further include the vehicle computer determining a time interval for providing a hands-off steering wheel detection warning based at least in part on the real-time level of fatigue of the driver, and the operating parameter. The method can further include the vehicle computer identifying a final time interval for providing a hands-off steering wheel detection warning. The method can further include the vehicle computer outputting the hands-off steering wheel detection warning after the final time interval has elapsed.