AI-Powered Autonomous Vehicles: Enhancing Safety and Efficiency

Abstract

Autonomous vehicles (AVs) leverage AI for real-time decision-making, navigation, and collision avoidance. This paper explores AI algorithms such as reinforcement learning, computer vision, and sensor fusion in AV technology. It discusses challenges like real-time processing, cybersecurity threats, and ethical dilemmas. Case studies highlight AI-driven AV implementations, demonstrating their impact on reducing traffic accidents, optimizing fuel consumption, and enhancing urban mobility.