Reviewing the Role of Artificial Intelligence in Autonomous Driving Systems

Abstract

The advent of autonomous driving systems represents a major transformation in both personal and public transportation. To some extent, it redefines the way people travel. Achieving this goal depends on improving safety and efficiency, making transportation more convenient. Artificial intelligence is at the core of this technological revolution. It is a set of computational methods that enable machines to perceive, think, and act in complex and constantly changing environments. This article provides a comprehensive review of the various roles that artificial intelligence plays in achieving vehicle autonomy. The paper discusses the key AI components that support autonomous vehicles. First is perception, followed by decision-making, and another key challenge is validation. This paper also addresses obstacles in the field, such as ensuring safety, making ethical decisions, and meeting computational demands. By combining current advancements and highlighting ongoing challenges, artificial intelligence has indeed transformed the automotive industry. However, the path to achieving fully autonomous driving still requires continuous improvement. We need to keep innovating in algorithmic capabilities, ethical frameworks, and regulatory standards to fully realize its transformative potential.