Driver Discomfort Detection for Automated Vehicle Takeover Prevention
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Solution Overview
Problem
Automated vehicles often fail to align with drivers' preferred driving styles, leading to driver discomfort and loss of trust, prompting drivers to take over manual control, which can be unsafe and reduce the benefits of automation.
Innovation Solution
A computer-implemented method and system that detect a perceived level of driver discomfort by analyzing image, dynamic, and driver data to identify driver takeover intent, allowing the vehicle to adjust its operation to minimize discomfort and maintain autonomous control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated controllers provide sustained hands/pedals-off lateral and longitudinal vehicle control, then driver workload is reduced and comfort is increased, but driver trust and comfort are lost due to mismatched driving styles
Solution Approach 1:
The system continuously monitors driver physiological signals (heart rate, skin conductance, respiration) and behavioral data (eye tracking, steering input) to detect discomfort levels in real-time. This feedback loop allows the automated driving system to identify when the driver is experiencing discomfort due to mismatched driving styles and adjust its behavior accordingly, thereby maintaining driver trust while preserving the benefits of reduced workload.
Solution Approach 2:
The system dynamically adapts the automated vehicle's driving behavior based on detected driver discomfort levels. When discomfort is detected, the system modifies its driving style to better match the driver's preferences, creating a dynamic adjustment mechanism that resolves the contradiction between maintaining automation benefits and preserving driver trust.
2Ease of operation
If drivers takeover manual control due to discomfort, then driver comfort is improved, but safety is reduced and automation benefits are lost
Solution Approach 1:
The system performs preliminary detection of driver discomfort through continuous monitoring of physiological and behavioral indicators before the driver actually takes over control. By detecting discomfort early, the system can proactively adjust its driving behavior to prevent takeover, thereby maintaining safety and automation benefits while still addressing driver comfort needs.
Solution Approach 2:
Real-time feedback from driver monitoring systems enables the automated driving system to respond to comfort issues before they escalate to the point of manual takeover, preventing safety compromises while maintaining driver comfort.
3Adaptability or versatility
If automated vehicles use different driving styles, then automation functionality is enhanced, but driver trust is lost due to lack of synchronization with preferred driving styles
Solution Approach 1:
The system implements dynamic adaptation of driving style by continuously adjusting automated vehicle behavior based on detected driver preferences and comfort levels. This allows the system to maintain diverse automation functionalities while synchronizing with individual driver preferences, thereby preserving both adaptability and driver trust.
Solution Approach 2:
The system changes operational parameters of the automated driving system (such as acceleration profiles, steering smoothness, lane-changing behavior) based on detected driver preferences, allowing it to maintain functional versatility while aligning with driver expectations to preserve trust.
Data Source
AI summary
A system and method for detecting a perceived level of driver discomfort in an automated vehicle that include receiving image data associated with a driving scene of an ego vehicle, dynamic data associated with an operation of the ego vehicle, and driver data associated with a driver of the ego vehicle during autonomous operation of the ego vehicle. The system and method also include analyzing the image data, the dynamic data, and the driver data and extracting features associated with a plurality of modalities. The system and method additionally include analyzing the extracted features and detecting the perceived level of driver discomfort. The system and method further include analyzing the perceived level of driver discomfort and detecting a probable driver takeover intent of the driver of the ego vehicle to takeover manual operation of the ego vehicle.