Emotion-Adaptive Vehicle Controller for Driving Assistance Intervention
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Solution Overview
Problem
Existing vehicle controllers lack the ability to dynamically adjust the intervention level of driving assistance functions, such as power steering, to match the comfort and needs of individual drivers, which can lead to suboptimal driving experiences.
Innovation Solution
A vehicle controller that estimates a driver's emotion using biological information, such as imaging signals and CO2 density, and adjusts the intervention amount of driving assistance functions like power steering, steering wheel assistance, and braking assistance based on the estimated comfort level, using machine learning models and a control unit to optimize the assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the intervention amount of driving assistance function is fixed, then the system is simple to operate, but it cannot adapt to different driver comfort preferences and emotional states
Solution Approach 1:
The patent implements dynamic adjustment of the intervention amount based on detected driver emotion. The system transitions from a static, fixed intervention level to a dynamic one that adapts in real-time to driver emotional states, resolving the contradiction between adaptability and complexity by introducing emotion-based control parameters
Solution Approach 2:
The system changes the intervention amount parameter according to detected emotional states. By monitoring physiological signals and adjusting the assistance function's intervention level accordingly, the system achieves adaptability to driver preferences without requiring complex manual configuration interfaces
2Reliability
If the intervention amount is increased to assist the driver, then driving safety is improved, but driver fatigue may increase due to excessive assistance
Solution Approach 1:
The system employs feedback mechanisms by continuously monitoring driver emotion through physiological sensors and adjusting the intervention amount accordingly. This closed-loop control ensures that assistance is provided appropriately - increasing safety when needed while reducing intervention when the driver is comfortable, thereby preventing fatigue
Solution Approach 2:
The system applies partial action by adjusting the intervention amount based on actual driver needs rather than providing maximum assistance continuously. By detecting emotional states, the system provides just enough assistance to maintain safety without excessive intervention that would cause fatigue
Data Source
AI summary
A vehicle controller includes a processer configured to estimate emotion of a driver based on biological information thereof; and determine an intervention amount of a driving assistance function based on the estimation result.