Synergizing Cloud in Autonomous Vehicles.

Abstract

This study sets about to uncover the symbiosis between two exciting technologies; connected vehicles and cloud computing, with emphasis on the role autonomous driving technology plays. The research focuses on the divergent issues of cloud and edge computing integration, which are presented to be the main driving forces in the industry acceleration through IoV causing the advanced data transmission and high level of responsiveness in vehicular networks. An important element of the research is the role of edge computing that is brought out which shows the potential of edge computing for meeting the strict resource and latency requirements of real-time applications such as augmented reality and autonomous driving. The paper provides more details about certain cloud-based services like dynamic vehicle recognition algorithms, path segmentation procedures for autonomous navigation, and lane detective technologies, and so on. Utilizing the processing power of edge computing the data quality that will be assimilated is improved even on the instances where resources are very scarce. Moreover, in the technological sphere, the research deals with the multifaceted domain of the security and the privacy in the case of the autonomous vehicles, as a result proposing a robust approach to identify and fix the weaknesses at different layers of the autonomous vehicle systems. It is through the continuous vigilance and the application of numerous security measures and privacy measures that the study aspires equilibrium and security in the operation of the autonomous vehicles, foreseeing a future in which the innovative, efficient and safe cloud-based solutions are the driving force in the transportation industry. Academic collaboration with industry professionals and policymakers emerges as the necessary factor in guiding the transportation sector, which is increasingly relying on technologically-honed and reasonably safe modes of transport. INDEX TERMS: Cloud Computing, Autonomous Vehicles, Artificial Intelligence, Internet of Vehicles, Lane Detection, Resource allocation, Security and Privacy.