Davide Maggi

Davide Maggi

Research interests

  • Human factors of highly/fully automated driving
  • Driver behaviour and status and how to provide their on-line measure 
  • Cooperative/shared control for Vehicle Assistance and Automation
  • Advanced Driver Assistance Systems (ADAS)
  • Handover strategies during transitions from automated to manual/assisted driving

Qualifications

  • BSc Ingegneria dell'Automazione, Politecnico di Milano, 2015
  • MSc Automation and Control Engineering, Politecnico di Milano, 2017