Edge AI in Autonomous Vehicles: Navigating the Road to Safe and Efficient Mobility

The integration of edge AI in autonomous vehicles (AVs) holds immense potential for revolutionizing transportation. By enabling real-time processing of sensor data on-board, edge AI reduces latency, enhances decision-making capabilities, and facilitates safer and more efficient navigation. However, numerous challenges remain in harnessing the full potential of this technology. This paper explores the current state of edge AI in AVs, focusing on key challenges and potential solutions, with a specific target audience of industry professionals actively involved in this transformative field.The burgeoning integration of edge AI in autonomous vehicles (AVs) promises a seismic shift in transportation, fostering an environment of unparalleled safety and streamlined efficiency. This paper delves into the intricate interplay between edge intelligence and autonomous navigation, illuminating the potential benefits, formidable challenges, and innovative solutions shaping this transformative domain.At the heart of this exploration lies the immense potential of edge AI to empower AVs with real-time decision-making capabilities