ADVANCED CLOUD COMPUTING APPLICATIONS IN AUTONOMOUS VEHICLE SYSTEMS: A TECHNICAL EXPLORATION

Abstract

This technical paper delves into the nuanced application of cloud computing in Autonomous Vehicle (AV) systems. It focuses on the critical role of cloud computing in managing the vast data requirements, computational needs, and real-time processing for AVs. Utilizing case studies and recent research, the paper provides an in-depth analysis of how cloud computing not only enhances the capabilities of AVs but is also instrumental in addressing the challenges of scalability, security, and efficient data management in autonomous transportation. The birth of autonomous vehicles (AVs) represents a paradigm shift in transportation, promising increased safety, efficiency, and convenience. However, realizing fully autonomous driving necessitates substantial advancements in vehicle technology, particularly in network architecture. This article investigates the integration of cloud computing as a pivotal enhancement to the network architecture of autonomous vehicles. Cloud computing offers scalable storage, powerful computational capabilities, real-time analytics, and robust security measures essential for handling the vast amount of data generated by AVs and facilitating their complex operational demands. This paper delves into how cloud computing supports data management, computational offloading, real-time decision-making, enhanced connectivity, and continuous learning for AV systems. The discussion highlights the potential of cloud computing to revolutionize the network architecture of AVs, addressing challenges and paving the way for a new era of intelligent, connected, and autonomous transportation.