Personalized Collision Avoidance Support for Driver Sensitivity

The system performs preliminary learning of driver characteristics through data collection during normal driving operations before collision avoidance support is needed. The calculation unit accumulates driving operation data and calculates sensitivity index values in advance, so that when a collision risk is detected, the execution unit can immediately apply personalized support parameters without delay.

The system changes the parameters of driving support based on calculated sensitivity index values that reflect individual driver characteristics. The determination unit selects appropriate support parameters (such as steering assistance magnitude, deceleration timing, or warning intensity) by mapping the sensitivity index values to specific support levels, thereby adapting the collision avoidance support to each driver's unique behavior patterns.

The system replaces complex mechanical or manual adaptation mechanisms with computational methods. The calculation unit uses algorithms to automatically analyze driving operation data and calculate sensitivity index values, while the determination unit uses computational logic to map these values to appropriate support parameters. This computational approach achieves personalization without requiring complex physical adjustments or manual configuration.

The system performs self-learning and self-adjustment by automatically collecting driving data, calculating sensitivity indices, and determining personalized support parameters without external intervention. The driving support device adapts to each driver's characteristics autonomously through continuous data collection and calculation, eliminating the need for manual setup or complex configuration procedures.