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Networking technologies for connected vehicles
01TVRQW
A.A. 2020/21
Course Language
Inglese
Degree programme(s)
Master of science-level of the Bologna process in Mechatronic Engineering (Ingegneria Meccatronica) - Torino
Course structure
| Teaching | Hours |
|---|---|
| Lezioni | 60 |
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|---|---|---|---|---|---|---|
| Violante Massimo | Professore Associato | IINF-05/A | 40 | 0 | 0 | 0 | 1 |
Co-lectures
Context
| SSD | CFU | Activities | Area context | ING-INF/03 ING-INF/05 |
3 3 |
F - Altre attivitą (art. 10) F - Altre attivitą (art. 10) |
Abilitą informatiche e telematiche Abilitą informatiche e telematiche |
|---|
2020/21
The course is taught in English. This is an eligible course for the Master Degree in Computer Engineering, focused on Embedded Systems, and it is eligible course for the Master Degree in Mechatronic Engineering. The course aims at presenting the most relevant network technologies for connected vehicles. Starting from the network architecture of a vehicle, the most relevant protocols will be described at the vehicle level, as well as the vehicle to infrastructure and the vehicle to vehicle levels. The course will also address the knowledge of simulation and analysis tools typically used in the industry such as Vector CANalyzer/CANoe. Moreover, localisation techniques will be presented.
The course is taught in English. This is an eligible course for the Master Degree in Computer Engineering, focused on Embedded Systems, and it is eligible course for the Master Degree in Mechatronic Engineering. The course aims at presenting the most relevant network technologies for connected vehicles. Starting from the network architecture of a vehicle, the most relevant protocols will be described at the vehicle level, as well as the vehicle to infrastructure and the vehicle to vehicle levels. The course will also address the knowledge of simulation and analysis tools typically used in the industry such as Vector CANalyzer/CANoe. Moreover, localisation techniques will be presented.
- Knowledge of the connectivity needs for a modern vehicle.
- Knowledge of the in-vehicle protocols.
- Knowledge of the V2x protocols.
- Knowledge of tools for vehicle analysis.
- Knowledge of localization technologies.
- Knowledge of the connectivity needs for a modern vehicle.
- Knowledge of the in-vehicle protocols.
- Knowledge of the V2x protocols.
- Knowledge of tools for vehicle analysis.
- Knowledge of localization technologies.
Knowledge of the architecture of computer-based systems.
Knowledge of the architecture of computer-based systems.
Evolution of vehicle networks (0.5 credits)
Electronic architecture of a modern vehicle (1.0 credit)
In-vehicle protocols (1.5 credits) - LIN - CAN - Automotive Ethernet Network analysis tools (1.0 credit)
The CAN dbc format - The CANalyzer/CANoe tools (1.0 credit)
Introduction to localization protocols (GPS, GLONAS, Galileo) (0.5 credit)
Introduction to V2x communication protocols and simulation tools (1.5 credit)
Evolution of vehicle networks (0.5 credits)
Electronic architecture of a modern vehicle (1.0 credit)
In-vehicle protocols (1.5 credits) - LIN - CAN - Automotive Ethernet Network analysis tools (1.0 credit)
The CAN dbc format - The CANalyzer/CANoe tools (1.0 credit)
Introduction to localization protocols (GPS, GLONAS, Galileo) (0.5 credit)
Introduction to V2x communication protocols and simulation tools (1.5 credit)
The course is organised in lectures that can be: formal lectures were novel concepts are presented, exercise lectures where the theory concepts are addressed through numerical examples, and practical lectures where activities will be implemented using laptop computers the students shall bring in class.
The course is organised in lectures that can be: formal lectures were novel concepts are presented, exercise lectures where the theory concepts are addressed through numerical examples, and practical lectures where activities will be implemented using laptop computers the students shall bring in class.
Modalitą di esame: Prova scritta su carta con videosorveglianza dei docenti;
The exam consists of four questions, on the program topics.
Exam: Paper-based written test with video surveillance of the teaching staff;
The exam consists of four questions, on the program topics.
Modalitą di esame: Prova scritta (in aula); Prova scritta su carta con videosorveglianza dei docenti;
The exam consists of four questions, on the program topics.
Exam: Written test; Paper-based written test with video surveillance of the teaching staff;
The exam consists of four questions, on the program topics.