Vehicle Steering Torque Reduction for Hands-Off Detection
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Solution Overview
Problem
Current hands-off detection systems in vehicles with Lane Keeping Assist Systems (LKAS) are unreliable in distinguishing between 'hands-off' and 'hands-on' driving, leading to false warnings and inadequate recognition of actual 'hands-off' driving, especially due to low steering wheel torque measurements and mechanical vibrations from road unevenness.
Innovation Solution
A method involving the reduction of automated steering torque to detect driver input, utilizing existing vehicle components like cameras and steering torque sensors to monitor steering actions, and providing warning signals to ensure driver engagement with the steering wheel, thereby improving detection reliability and reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If steering wheel torque measurement is used for hands-off detection, then the detection system is simple to implement, but the detection reliability is low due to false warnings and inadequate recognition
Solution Approach 1:
The patent combines multiple detection methods (steering torque sensor, camera-based lane recognition, and steering angle sensor) into a unified hands-off detection system. The control unit integrates data from all these sources to make a comprehensive determination of hands-off conditions, thereby improving reliability without relying on a single imperfect sensor.
Solution Approach 2:
The system uses the camera to perform multiple functions: lane recognition for automated steering control and simultaneous monitoring of vehicle position relative to lane markings for hands-off detection. This multi-functional use of existing components improves detection reliability without proportionally increasing system complexity.
2Reliability
If automated steering torque is continuously applied, then lane keeping is maintained, but the ability to detect driver steering input is reduced
Solution Approach 1:
The control unit periodically reduces the automated steering torque at predetermined intervals to create detection windows. During these brief periods, the reduced torque allows any driver steering input to be more clearly detected, while the automated system quickly restores lane keeping stability between detection cycles.
Solution Approach 2:
The system performs preliminary detection of driver intent by monitoring steering angle changes and camera-based lane position before reducing automated torque. This allows the system to anticipate driver actions and maintain stability while preparing for detection phases.
3Reliability
If steering torque threshold is set low for sensitive detection, then hands-off is detected earlier, but false warnings increase due to mechanical vibrations
Solution Approach 1:
The patent introduces camera-based lane recognition as an intermediary detection method. Instead of relying solely on torque sensor data that is susceptible to vibration noise, the system uses visual information from the camera to independently verify hands-off conditions, thereby filtering out false warnings caused by mechanical vibrations.
Solution Approach 2:
The system replaces purely mechanical vibration-based torque detection with an optical detection method using the camera. This substitution eliminates the sensitivity to mechanical vibrations while maintaining the ability to detect when the driver has released the steering wheel.
Data Source
AI summary
A method for monitoring a steering action of a driver of a vehicle. The method includes exerting an automated steering torque on a steering system of the vehicle, reducing the automated steering torque and detecting a movement of the steering system and/or a force of the steering system and/or a lateral movement of the vehicle in response to the reduction of the automated steering torque, to monitor the steering action of the driver.