Towards Safer Driving: ADAS Enhancements in Lane Keeping and Sign Detection

This paper studies the integration of lane keep assist, and sign detection into Advanced Driver Assistance Systems (ADAS), computer vision, and machine learning. We present a unified approach to enhancing road safety and autonomous driving capabilities, establishing improved accuracy and reliability in diverse conditions. Our findings indicate significant potential for ADAS technologies in reducing driving complexities and increasing safety.