Portale della Didattica

Networking technologies for connected vehicles

01TVRQW

A.A. 2023/24

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	55
Esercitazioni in aula	5

Lecturers

Teacher	Status	SSD	h.Les	h.Ex	h.Lab	h.Tut	Years teaching
Casetti Claudio Ettore	Professore Ordinario	IINF-03/A	18	0	0	0	3

Co-lectures

Espandi

Teacher	Status	SSD	h.Les	h.Ex	h.Lab	h.Tut
Cibrario Bertolotti Ivan	Docente esterno e/o collaboratore		30	0	0	0
Raviglione Francesco	Ricercatore L240/10	IINF-03/A	7	5	0	0

Context

SSD	CFU	Activities	Area context
ING-INF/03 ING-INF/05	3 3	F - Altre attivit� (art. 10) F - Altre attivit� (art. 10)	Abilit� informatiche e telematiche Abilit� informatiche e telematiche

Date d'appello

Orario delle lezioni

Statistiche superamento esami

Anno accademico di inizio validit�

2023/24

Presentazione
Course description

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. 12 hours will be dedicated to a lab project using a simulator to investigate the communication between vehicles. Finally, an overview of navigation and localisation techniques will be presented.

Risultati attesi
Expected Learning Outcomes

- 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 the analysis of in-vehicle and inter-vehicle connectivity. - Knowledge of localization technologies.

Prerequisiti
Pre-requirements

Knowledge of the architecture of computer-based systems.

- Knowledge of the architecture of computer-based systems. - Knowledge of basic notions of networking - Elementary knowledge of coding (C and Python)

Programma
Course topics

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 (0.5 credit) - The CAN dbc format - The CANalyzer/CANoe tools (0.5 credit) - inter-vehicle communication protocols (1.5 credits) - simulation of inter-vehicle communication (1 credit) - Introduction to navigation and localization protocols (GPS, GLONAS, Galileo) (0.5 credit)

Sustainable development goals

Costruire un'infrastruttura resiliente e promuovere l'innovazione ed una industrializzazione equa, responsabile e sostenibile

Incentivare una crescita economica duratura, inclusiva e sostenibile, un�occupazione piena e produttiva ed un lavoro dignitoso per tutti

Rendere le citt� e gli insediamenti umani inclusivi, sicuri, duraturi e sostenibili

Note
Additional information

Organizzazione dell'insegnamento
Course structure

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 an inter-vehicle simulator will be used running on students' own laptop computers.

Bibliografia
Reading materials

Materiale di supporto allo studio
Study materials

Slides; Video lezioni tratte da anni precedenti;

Lecture slides; Video lectures (previous years);

Sostenimento anticipato dell�esame
Taking the exam before attending the course

E' possibile sostenere l�esame in anticipo rispetto all�acquisizione della frequenza

You can take this exam before attending the course

Criteri, regole e procedure per l'esame
Assessment and grading criteria

Modalit� di esame: Prova scritta (in aula);

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.

Gli studenti e le studentesse con disabilit� 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'Unit� Special Needs, al fine di permettere al/la docente la declinazione pi� 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. The questions will yield a total of 28 points, awarded as follows: questions related to the internal network architecture of the vehicle are worth 8 points each; questions related to inter-vehicles communication are worth 6 points each. At least one question will be a numerical exercise similar to the exercises presented in class. Overall, 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. Up to 4 additional points will be awarded following the evaluation of an in-class simulation assignment.

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.