Alessandro Toschi

Modular Decision-Making and Drivable Areas for Multi-Agent Autonomous Racing

This paper presents an interaction-aware, modular framework for local trajectory planning in autonomous driving, particularly suited for multi-agent racing scenarios. Our framework first identifies viable drivable areas (tunnels), taking into account predictions of other agents’ behaviors, and subse