Enhancing Autonomous Vehicle Safety and Efficiency Through Intelligent Mapping and Recommendations

Abstract

The rapid development of self-driving cars (AVs) creates numerous prospects for safer, more efficient transportation. This study looks into the possibilities for improved AV safety and operational efficacy using intelligent mapping, object detection, and tailored recommendation systems.This study proposes a unique way for improving autonomous vehicle navigation and user experience, using sensor fusion, adaptive route planning, real-time item detection, and crowdsourced map updates. The proposed technique opens the way for more intelligent and safe AV systems by improving obstacle avoidance, reducing travel times, and ensuring real-time system updates, according to trial data.