Autonomous Driving Profile Control Using Occupant Biometric Feedback
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Solution Overview
Problem
Autonomous vehicles currently lack the ability to assess and respond to the mental and physical states of occupants, leading to uncomfortable driving experiences due to individual emotional and physical responses to driving situations, such as anxiety from unexpected vehicle movements.
Innovation Solution
An autonomous driving control device equipped with a biosensor and processor that monitors the occupant's mental and physical state through biometric information and adjusts driving parameters to provide a personalized, comfortable ride by recognizing changes in emotional and physical states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicle controls movements based on configured values, then the vehicle can operate autonomously, but the occupant feels uncomfortable due to not considering individual driving preferences
Solution Approach 1:
The autonomous driving system dynamically adjusts driving parameters (acceleration, deceleration, steering) in real-time based on biometric feedback from the occupant. The processor continuously monitors biometric information and modifies the autonomous driving profile to match the occupant's current physical and emotional state, making the rigid automated system flexible and adaptive to individual needs.
Solution Approach 2:
The system changes driving parameters (speed, acceleration rate, braking force) based on detected biometric states. When the occupant's biometric information indicates stress or discomfort, the system automatically adjusts these parameters to create a more comfortable driving experience, transforming the fixed configured values into adaptive variables.
2Ease of operation
If the autonomous driving profile is customized for each occupant, then comfort is improved, but the system complexity increases due to need for biometric monitoring and real-time adjustment
Solution Approach 1:
The biometric sensor serves multiple functions: it monitors the occupant's physical state, detects emotional conditions, and provides feedback for adjusting driving parameters. This multi-functional approach consolidates what could be multiple separate systems into a single integrated sensor unit, reducing overall system complexity while achieving personalized comfort.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where biometric information from the occupant is continuously monitored and fed back to the processor, which then adjusts the autonomous driving profile accordingly. This automatic feedback loop eliminates the need for complex manual adjustment interfaces while achieving personalized driving experiences.
3Ease of operation
If driving parameters are adjusted in real-time based on biometric feedback, then occupant anxiety is reduced, but energy consumption increases due to continuous monitoring and adjustment operations
Solution Approach 1:
Instead of continuous real-time monitoring at maximum frequency, the system uses periodic sampling of biometric data at optimized intervals. The processor checks biometric information at regular intervals and adjusts driving parameters only when significant changes are detected, reducing unnecessary processing and energy consumption while maintaining effective stress reduction.
Solution Approach 2:
The system applies partial adjustment of driving parameters only when biometric feedback indicates a need for intervention. Rather than continuously adjusting all parameters at full intensity, the system selectively modifies only the necessary parameters to the extent needed to address the detected stress or discomfort, minimizing energy expenditure while achieving the desired comfort level.
Data Source
AI summary
An autonomous driving control device according to various embodiments includes a sensor device including a biosensor, and a processor, wherein the processor is configured to control, as a first parameter value, a parameter related to a driving device for controlling a movement of an autonomous vehicle when the autonomous vehicle is driving with at least one autonomous driving function. The processor is also configured to monitor, via the biometric sensor, mental and physical states of an occupant on the basis of biometric information of the occupant located in the autonomous vehicle while the autonomous vehicle is driving with the autonomous driving function and adjust the first parameter value to a second parameter value in response to a change in the mental and physical states of the occupant from a stable state to an unstable state as a result of monitoring the mental and physical states of the occupant.