The students, at the end of the course, will have a sufficient knowledge of: - cellular communication systems, up to 5G; - wireless communication systems for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications; - geo-localization systems (GPS, GALILEO) and their performance; - driving assistance systems (radar, ultra sound, cameras, laser) and their performance; - autonomous driving technologies. They will also be able to combine knowledge from the above mentioned subjects and from previous courses to address technical problems in vehicles of any kind (cars, moving bots, autonomous vehicles, UAV - Unmanned Aerial Vehicles )

There are no specific pre-requirements. However, students need to acquire the basic knowledge on wired communication networks used inside vehicles. This subject is addressed in the "Electronic systems for vehicles" course, whose lectures are given in the same semester.

Radio communication systems: cellular networks (from 2G to 5G) , Satellite networks (LEO satellites), Wireless LANs (IEEE 802.11a/b/g/n), Bluetooth Geo-localization (GPS, GALILEO): principles of operation, performance, applications in vehicles. Vehicle-to-infrastructure (V2I) & Vehicle-to-vehicle (V2V) communications: standards and rules, toll systems (Telepass and ETSI compliant systems) Connected mobility: traffic control techniques, smartphone-vehicle integration Driver assistance systems: distance sensors (ultrasound, RADAR, LIDAR) , vision systems (CCD & thermal cameras), intelligent ligthing. Autonomous driving: SAE autonomous driving levels, state-of-the art & examples. Connected vehicle: functions & services, location-aware enablers, connectivity requirements for autonomous vehicles and for green vehicles Vehicle data exchange: vehicle data sharing, Over The Air (OTA) software update, Big Data technologies, validation of functions and services Seminar on "Digital Mobility & Intelligent Transport Systems"

This course is mostly based on lectures. Discussions and exercises on some selected subjects will be done during classes.

Lecture's slides and other materials will be available in the course website for download.

Lecture slides; Lecture notes;

Exam: Compulsory oral exam; Group project;

Each student can select one of the two possible exam types. Groups will be autonomously created by students and will be composed of no more than three students. The exam will assess the capability of the students to use the knowledge acquired in this, and in other courses, to identify a possible solution to a technical problem. The grades will be based on the quality of the presentation (up to 15 pts) and the technical results achieved (up to 18 pts). Grades higher than 30 will be registered as 30 with laude. Oral exam. Students will be asked to propose a solution to address a technical problem related to the subjects presented in classes. Examples: identify the required performance figures of a geo-localization system to control the movement of an unmanned vehicle; identify a sensor set able to provide an unmanned vehicle the necessary information to move inside a building along with humans. Group report. Students will write a report addressing a technical challenge, proposing a feasible solution to the proposed problem. The report will be upload on the course website, in PDF format, at least three working days before the exam date. During the exam they will describe their proposed solution in a 15 minutes presentation. Then, they will answer to the questions the teachers will ask.

In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.