2 papers
cs.RO2026
Learning Direct Control Policies with Flow Matching for Autonomous Driving
Marcello Ceresini, Federico Pirazzoli, Andrea Bertogalli +5
We present a flow-matching planner for autonomous driving that directly outputs actionable control trajectories defined by acceleration and curvature profiles. The model is conditi…
cs.RO2021
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
Alessandro Paolo Capasso, Paolo Maramotti, Anthony Dell'Eva +1
Navigating through intersections is one of the main challenging tasks for an autonomous vehicle. However, for the majority of intersections regulated by traffic lights, the problem…