Francesco Cerrito

Research topic

Innovative Automated Driving functional architecture based on APF/MPC approaches for new sustainable mobility systems

Tutors

• Massimo Canale
• Carlo Novara
• Franck Guillemard

Master of Science

• Digital control technologies and architectures. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Digital control technologies and architectures. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Digital control technologies and architectures. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Digital control technologies and architectures. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Digital control technologies and architectures. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

• Punta, Elisabetta; Canale, Massimo; Cerrito, Francesco; Razza, Valentino (In stampa)
  An Original Sliding Mode Approach to Autonomous Driving Based on Super-Twisting and Artificial Potential Fields. In: American Control Conference (ACC), 2025, Denver (USA), July 8-10, 2025
  Contributo in Atti di Convegno (Proceeding)
• Canale, Massimo; Cerrito, Francesco; Borodani, Pandeli (2024)
  Procedimenti e/o sistemi per la guida autonoma di veicoli. N. brevetto: 102024000027819, propr. brevetto: 3 - Politecn. di Torino et al
  Brevetti
• Punta, Elisabetta; Canale, Massimo; Cerrito, Francesco; Razza, Valentino (2024)
  A Sliding Mode Control Architecture for Autonomous Driving in Highway Scenarios Based on Quadratic Artificial Potential Fields. In: IEEE CONTROL SYSTEMS LETTERS, vol. 8, pp. 2937-2942. ISSN 2475-1456
  Contributo su Rivista
• Canale, Massimo; Cerrito, Francesco; Borodani, Pandeli (2024)
  An Ego-Based Approach to Planning and Control for Automated Valet Parking Applications. In: IEEE Conference on Decision and Control, Milan (ITA), December 16-19, 2024, pp. 8193-8198. ISBN: 979-8-3503-1633-9
  Contributo in Atti di Convegno (Proceeding)
• Fasiello, Alessandro; Cerrito, Francesco; Razza, Valentino; Canale, Massimo (2024)
  Enhancing Reinforcement Learning for Automated Driving through Virtual Lane Logic. In: Modeling, Estimation and Control Conference MECC 2024, Chicago, IL (USA), Oct 27-30, 2024, pp. 55-60. ISSN 2405-8971
  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
• An Ego-Based Approach to Planning and Control for Automated Valet Parking Applications. national Patent
  Inventors: Massimo Canale Francesco Cerrito