Autonomous racing simulation solutions: state of the art evaluation and scenario creation This thesis addresses the development and validation of autonomous driving algorithms in a racing context, an environment characterized by high speeds, complex vehicle dynamics, and highly variable scenarios, which distinguish it significantly from urban autonomous driving. The main objective of this work was to design and implement a complete pipeline for the simulation, control, and validation of autonomous vehicles on three-dimensional racing tracks, leveraging realistic simulation environments as essential tools for research and development. Firstly, a comprehensive overview of autonomous vehicle simulation environments is provided, highlighting the strengths and limitations of the main available platforms.