Vehicle Controller Adjusts Driving Dynamics for Occupant Discomfort
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Solution Overview
Problem
Existing methods fail to effectively capture and address the inner discomfort of vehicle occupants, leading to feelings of safety and comfort issues during driving, as they rely solely on external observations and do not account for physiological responses like heart rate or voice cues.
Innovation Solution
A method that monitors physiological parameters such as heart rate and voice signals from vehicle occupants using wearable devices and AI-driven voice recognition to adaptively adjust driving characteristics, ensuring a comfortable driving experience by modifying acceleration, braking, and steering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only microphone-based voice recognition is used to detect occupant state, then the system complexity is low, but the measurement precision of occupant discomfort is insufficient
Solution Approach 1:
The patent combines multiple monitoring systems (microphone for voice recognition, camera for facial expression analysis, and wearable device for physiological parameter detection) into an integrated occupant state monitoring system. This merging of multiple detection methods enables comprehensive assessment of occupant discomfort by synthesizing data from different sources, thereby improving measurement precision while managing system complexity through coordinated operation of diverse sensors.
Solution Approach 2:
The monitoring system is designed with multi-functionality to detect various types of occupant discomfort through different modalities: voice-based stress detection, facial expression analysis for emotional state, and physiological parameter monitoring via wearable devices. This universal approach allows a single integrated system to handle multiple detection tasks, improving overall measurement precision without proportionally increasing complexity.
2Measurement precision
If multiple monitoring systems are integrated to improve discomfort detection, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The system implements feedback mechanisms where the controller continuously receives data from multiple monitoring sources (microphone, camera, wearable device), processes this information to assess occupant discomfort levels, and automatically adjusts driving characteristics accordingly. This closed-loop feedback approach enables the system to adaptively respond to detected discomfort, improving measurement precision through continuous monitoring while managing complexity through automated control algorithms.
Solution Approach 2:
The controller serves as an intermediary that integrates and coordinates data from multiple monitoring systems (voice recognition module, facial expression analysis module, physiological parameter sensor). This intermediary component synthesizes information from diverse sources and translates it into coordinated control actions, thereby managing the complexity of integrating multiple systems while achieving improved measurement precision through their combined output.
3Ease of operation
If the vehicle adjusts driving characteristics frequently to respond to discomfort, then the comfort level improves, but the productivity of the driving task decreases
Solution Approach 1:
The system dynamically adjusts driving characteristics based on real-time occupant discomfort detection. The controller continuously monitors discomfort levels through multiple sensors and adaptively modifies acceleration, braking, and steering behaviors. This dynamic adjustment allows the vehicle to optimize comfort levels in response to changing occupant states while maintaining overall driving productivity by making targeted adjustments rather than continuous modifications.
Solution Approach 2:
The system changes driving parameters (acceleration rate, braking force, steering angle) in response to detected occupant discomfort. By adjusting these physical parameters of vehicle operation, the system improves occupant comfort levels while maintaining productive driving behavior. The parameter changes are made adaptively based on the severity and type of discomfort detected, balancing comfort improvement with driving efficiency.
Data Source
Figure 1
AI summary
Disclosed is a method for driving a vehicle, the method comprising at least the following steps: monitoring the reaction of a vehicle occupant to the current unmanned driving characteristics of the vehicle to obtain at least one kind of information representing the inner discomfort of the vehicle occupant; And adaptively adjusting the current unmanned driving characteristics of the vehicle at least based on the obtained information so as to at least temporarily relieve the inner discomfort of the vehicle occupant during the subsequent unmanned driving. Also disclosed are a corresponding controller and a corresponding vehicle. According to the present invention, the driving characteristics of the vehicle can be automatically adjusted based on the inner feeling of the vehicle occupant, making people feel comfortable.