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Networking technologies for connected vehicles

01TVRQW

A.A. 2022/23

Course Language

Inglese

Course degree

Master of science-level of the Bologna process in Mechatronic Engineering (Ingegneria Meccatronica) - Torino

Course structure
Teaching Hours
Lezioni 55
Esercitazioni in aula 5
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Casetti Claudio Ettore Professore Ordinario ING-INF/03 21 0 0 0 2
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ING-INF/03
ING-INF/05
3
3
F - Altre attività (art. 10)
F - Altre attività (art. 10)
Abilità informatiche e telematiche
Abilità informatiche e telematiche
2022/23
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. The course aims at presenting the most relevant network technologies for connected vehicles. Starting from an overview of Intelligent Transportation Systems (ITS), we will present the network architecture of a vehicle, the most relevant protocols at the vehicle level, as well as the protocols for the communication between vehicle to infrastructure and vehicle to vehicle. The course will also address the knowledge of simulation and analysis tools typically used in the industry such as Vector CANalyzer/CANoe as well as mobility simulators to investigate the communication between vehicles. Finally, an overview of navigation and 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. - Knowledge of basic notions of networking
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 (0.5 credit) In-vehicle protocols - LIN - CAN (1.0 credits) IoT communication models and protocols (0.5credit) The CAN dbc format - The CANalyzer/CANoe tools (0.5 credit) V2X communication protocols and simulation tools (2.5 credits) Introduction to navigation and localization protocols (GPS, GLONAS, Galileo) (0.5 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 where 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 to class.
Modalità di esame: Prova scritta (in aula);
Exam: Written test;
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam: Written test;
The exam consists of four open questions to be answered in written form, covering the material addressed during the course. Each question is worth 8 points. At least one questions will be a numerical exercise similar to the exercises presented in class. The questions will aim at verifying the student's knowledge and understanding of the topics covered during the course. The exam will last one hour.
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.
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