Autonomous Driving Jerk Control via Driver Biometric Stress Monitoring
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Solution Overview
Problem
Conventional collision avoidance systems in vehicles do not consider the jerk experienced by the driver, which affects riding quality and predicted collision time, as jerk thresholds vary among drivers.
Innovation Solution
An apparatus and method that monitor a driver's stress state using biometric signals to determine an allowable jerk, calculate a predicted jerk based on vehicle and preceding vehicle information, and output an alarm when the predicted jerk exceeds the allowable jerk, thereby adjusting autonomous driving controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional collision avoidance control is used without considering driver-specific jerk thresholds, then the system is simple and universally applicable, but riding quality deteriorates because jerk thresholds vary among drivers
Solution Approach 1:
The system dynamically adjusts the jerk threshold parameter based on individual driver characteristics and real-time stress states. By monitoring biometric signals and calculating driver-specific allowable jerk values, the system adapts the collision avoidance parameters to match each driver's preferences, thereby improving riding quality without requiring a completely new system architecture
Solution Approach 2:
The system implements feedback loops that continuously monitor driver stress states through biometric sensors and adjust collision avoidance control accordingly. The calculated allowable jerk values feed back into the collision avoidance algorithm, creating a closed-loop system that maintains optimal riding quality while managing complexity through intelligent control strategies
2Adaptability or versatility
If driver stress state monitoring using biometric signals is implemented, then individualized jerk thresholds can be determined, but device complexity and cost increase
Solution Approach 1:
The system uses a multi-functional approach where biometric monitoring serves multiple purposes: determining driver presence, assessing stress state, and calculating individualized jerk thresholds. By making the monitoring system universal and multi-purpose, the patent reduces the need for separate dedicated components for each function, thereby improving driver adaptability while controlling overall system complexity
Solution Approach 2:
The system enables drivers to automatically receive personalized collision avoidance control without manual input. The biometric monitoring and jerk threshold calculation occur automatically, with the system self-adjusting based on detected driver characteristics and stress states, thereby achieving high adaptability while minimizing the complexity of user interaction
3Reliability
If real-time jerk calculation and alarm output are implemented, then driver safety is improved through timely warnings, but processing complexity and response time requirements increase
Solution Approach 1:
The system performs preliminary calculations of allowable jerk values based on driver characteristics before collision scenarios occur. By pre-establishing driver profiles and stress state baselines, the system reduces real-time processing requirements during critical moments, thereby improving safety response while managing processing complexity through advance preparation
Solution Approach 2:
The system replaces complex mechanical judgment and manual driver assessment with automated electronic calculations based on biometric signals. By substituting electronic processing for manual evaluation, the system achieves high safety standards through precise real-time monitoring while actually reducing overall system complexity through automation rather than mechanical means
Data Source
AI summary
An apparatus and a method for controlling autonomous driving of a vehicle, and a vehicle system are provided. The apparatus monitors a stress state of a driver using biometric information of the driver and calculates an allowable jerk of the driver based on a jerk at a time point at which the stress state of the driver exceeds a preset reference value. A predicted jerk is calculated based on location and movement information of the vehicle and a preceding vehicle measured while the vehicle travels, and lane information. Additionally, a driving state of the vehicle is determined when the predicted jerk exceeds an allowable jerk of the driver and an alarm is output based on the driving state of the vehicle.