Brain-Brake: A Hybrid Brain-Operated Computer Vision-Enabled System for Collision Avoidance

A major challenge in daily automotive use is the high incidence of car accidents, primarily attributed to human errors. This paper introduces Brain-Brake, an innovative brain-operated advanced driver-assistance system (ADAS) designed for collision avoidance. Utilizing electroencephalography (EEG) signals, Brain-Brake detects a driver's braking intention faster than traditional methods, addressing critical reaction time delays. It integrates a computer vision module that measures the proximity of objects to the vehicle, complementing the EEG- based intention detection for enhanced reliability. Implemented on embedded chips using the AUTOSAR framework, preliminary results indicate a significant reduction in reaction times during emergency braking scenarios, highlighting the system's potential to enhance road safety significantly.