David Costa

Research topic

Multi-level architectures for decision, guidance and control with application to automated driving systems

Tutors

• Massimo Canale
• Carlo Novara

Master of Science

• Nonlinear control and aerospace applications. A.A. 2026/27, MECHATRONIC ENGINEERING. Collaboratore del corso
• Automatic control. A.A. 2026/27, MECHATRONIC ENGINEERING. Collaboratore del corso
• Nonlinear control and aerospace applications. A.A. 2025/26, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso

• Costa, David; Cerrito, Francesco; Canale, Massimo; Novara, Carlo (In stampa)
  Unifying Decision Making and Trajectory Planning in Automated Driving through Time-Varying Potential Fields. In: 23rd IFAC World Congress
  Contributo in Atti di Convegno (Proceeding)
• Dipalo, Alfonso Maria; Boggio, Mattia; Tango, Fabio; Costa, David; Novara, Carlo (2026)
  An NMPC-Based Control and Decision System as the Enabler for a New HCI in Autonomous Vehicles: Validation in Complex Simulated Scenarios. In: International Conference on Human-Computer Interaction, Montreal, 26 - 31 July 2026, pp. 17-36. ISSN 0302-9743. ISBN: 9783032304261
  Contributo in Atti di Convegno (Proceeding)
• Costa, David; Cerrito, Francesco; Canale, Massimo; Novara, Carlo (2026)
  Unifying Decision-Making and Trajectory-Planning in Unsignalized Intersections Using Time-Varying Potential Fields. In: 2026 34th Mediterranean Conference on Control and Automation (MED), Ancona (IT), 23-26 June 2026, pp. 251-256. ISBN: 979-8-3195-4746-0
  Contributo in Atti di Convegno (Proceeding)

• A safe automated driving approach using time varying potential fields for decision making and path planning. national Patent
  Inventors: Massimo Canale Francesco Cerrito David Costa Carlo Novara