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Abstract
The rise of autonomous vehicles (AVs) has brought the power of artificial intelligence (AI) to the forefront of transportation technology. AVs rely heavily on intelligent perception, cognition, and interaction to navigate the complexities of the road environment. This paper explores the role of AI in AVs and how it is used to enable these three critical components. Intelligent perception allows AVs to recognize and interpret the road environment, including obstacles, traffic signs, and other vehicles. Cognition enables AVs to make decisions based on the perceived environment, such as when to change lanes, when to stop, or when to speed up. Interaction allows AVs to communicate with other vehicles, pedestrians, and infrastructure to ensure safe and efficient travel. This paper also discusses the challenges of implementing AI in AVs, including ethical concerns, technological limitations, and regulatory issues. Despite these challenges, the potential benefits of AVs and AI in transportation are vast, including increased safety, reduced congestion, and improved accessibility.
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