Machine learning for automated driving: The course aims to explore the theory and application of state-of-the-art techniques in machine learning, particularly on the perception aspect.
Digital systems electronics
Fundamentals of programming
Machine learning (First year master's degree)
Ricevimento: Appointment by email (nicoletta.noceti@unige.it)
Ricevimento: On appointment: mail (francesco.bellotti@unige.it) or on Teams or after lecture
FRANCESCO BELLOTTI (President)
LUCA LAZZARONI
MARCO RAGGIO
RICCARDO BERTA (President Substitute)
Project work on an example of machine learning application for automated driving (knowledge, understanding, analysis, judgement, application, creation in relation to the topics covered in the lecture)
Assessment will take place at the various stages of project preparation as set out in the Examination methods: definition interviews, design/implementation of the solution, final discussion of a paper describing the work carried out.
The lecturer will also take into account the student's participation during the course.
