Survey Examines Generative AI Applications in Autonomous Vehicle Technology

A comprehensive survey explores the intersection of generative artificial intelligence models and connected and automated vehicles (CAVs). The research investigates how generative models can be applied to enhance predictive modeling, simulation accuracy, and decision-making processes within autonomous transportation systems. By examining both the history and impact of these two technological forces, the study aims to highlight progress made while identifying remaining obstacles. The integration of generative AI with CAV technology presents potential advancements in safety and innovation within the transportation sector. This academic report analyzes benefits and challenges associated with combining these technologies. The survey was published on arXiv, a platform for scientific papers, under the computer science and machine learning categories. The research focuses specifically on how generative models could improve various aspects of autonomous vehicle functionality. The study represents ongoing exploration of artificial intelligence applications in transportation technology.