Driver-State Braking Control Using Heart Rate and Carelessness
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Solution Overview
Problem
Existing advanced driver assistance systems (ADAS) face issues with unnecessary vehicle control due to a lack of consideration for the driver's condition, particularly heart rate and carelessness levels, leading to potential accidents.
Innovation Solution
A vehicle control method and apparatus that determines braking stages based on a driver's heart rate range and carelessness level, using a controller to issue control commands for optimized braking through first, second, and third-stage braking strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advanced driver assistance systems diversify and subdivide functions to improve driving safety and assistance, then the system's ability to assist drivers improves, but unnecessary vehicle control increases
Solution Approach 1:
The system changes the parameter of driver state monitoring by introducing heart rate range detection and carelessness level recognition. These physiological and behavioral parameters enable the system to dynamically adjust its control intervention threshold, distinguishing between situations requiring assistance and those representing normal driving variations, thereby reducing unnecessary control actions while maintaining safety.
Solution Approach 2:
The system implements continuous feedback loops that monitor driver heart rate and facial expressions, then use this information to modulate assistance system behavior. The feedback mechanism allows the system to adapt to the driver's real-time condition, suppressing unnecessary interventions when the driver is alert and appropriate interventions when the driver shows signs of fatigue or distraction.
2Reliability
If vehicle control systems increase intervention frequency to prevent accidents, then driving safety improves, but driver autonomy and comfort deteriorate
Solution Approach 1:
The system dynamically adjusts its control intervention strategy based on real-time driver state assessment. When the driver is detected to be in a normal alert state, the system maintains higher autonomy thresholds. When fatigue or distraction is detected through heart rate and facial analysis, the system dynamically lowers the intervention threshold, allowing safer automation takeover while preserving driver autonomy during normal conditions.
3Measurement precision
If the system monitors multiple driver parameters (heart rate, face recognition) to improve control accuracy, then vehicle control precision improves, but system complexity increases
Solution Approach 1:
The system segments the driver monitoring function into distinct modules: heart rate detection module, facial recognition module, and integration module. Each module independently processes its specific parameter type, then the integration module combines these results to determine overall driver state. This segmentation allows for precise multi-parameter monitoring while managing system complexity through modular architecture.
Data Source
AI summary
A method and apparatus for controlling a vehicle using a driver's condition are disclosed. The method for controlling a vehicle includes determining a braking stage based on information on a heart rate range of a driver of the vehicle and information on carelessness of the driver and includes transmitting a control command for braking to the vehicle based on the braking stage.