Approach of an advanced autonomous vehicle with data optimization and cybersecurity for enhancing vehicle's capabilities and functionality for smart cities

Autonomous competition is a brand-new area of technological advancement that has just emerged because of the increasing acceptance of self-driving vehicles, particularly after 2015. For high-performance automobiles designed to drive autonomously in extremely unpredictable, dynamic, and hostile contexts, researchers are creating hardware and software algorithms that work precisely. Our Research mainly focused on the balanced approach for System Architecture, Data optimization in autonomous vehicle to enhance the smart cities. The most important abilities and features such as communication, autonomous path planning, path following control, navigation, obstacle detection and depth estimation are regarded as the foundational knowledge of agents. These conditions include high speeds, high safety and security, data optimization, slow reaction times, and antagonistic real-world surroundings. This study is the first comprehensive and deep analysis of the research on autonomous vehicles, including their architectural design, data optimization, safety & security and Internet of Things for high end applications. Autonomous vehicle cybersecurity is also important to assure the safe and secure deployment of these vehicles. Industry 4.0 can assist maintain the safety and security of autonomous vehicles by deploying effective cybersecurity solutions that address the essential qualities of confidentiality, integrity, availability, and non-repudiation. Finally, this research study emphasizes the balanced integration approach of System Architecture, Safety & security and the "software-hardware" co-evolution to the current level while providing a thorough review of the current autonomous vehicle systems.