I develop advanced frameworks for simulating complex systems, with a particular focus on the integration of artificial intelligence, perception, and human machine interaction. My research activity is divided into two main areas. In the automotive context, I work on driver assistance and support systems, studying driver behavior, the decision making logic of ADAS systems, and their validation in simulated environments. I use high fidelity simulations to analyze critical scenarios and apply machine learning and computer vision techniques for environmental perception, risk estimation, and vehicle decision support. At the same time, I work on the simulation and control of autonomous vehicles in marine environments, with a particular interest in the dynamics and movement management of underwater drones. In this field, I study visual and sensory perception techniques in extreme conditions, characterized by low light and turbidity, addressing the challenges of underwater computer vision and sensor fusion. The innovation in my research is the use of simulation combined with computer vision as a key tool for designing, testing, and validating intelligent systems in complex contexts that are difficult to replicate in the real world.
