Francesco Prignoli is a PhD student in Automotive Engineering for Intelligent Mobility at the Universities of Bologna and Modena and Reggio Emilia. His main research topics include:
- Motion planning and control for autonomous racing
He studies predictive motion planning and optimal control algorithms, focusing on performance and multi-vehicle scenarios, and applies them in autonomous racing competitions.
- Safe motion planning for autonomous vehicles in complex urban environments
He develops strategies for autonomous vehicle navigation in urban areas, paying particular attention to safe interactions with other vehicles and pedestrians.
- Constrained optimization applied to autonomous driving algorithms
He focuses on using optimization methods to solve complex problems, such as managing physical and safety constraints in the context of autonomous driving.
These research areas reflect his commitment to optimizing the autonomous driving experience in competitive and urban environments, ensuring safety, efficiency, and effectiveness.
