90074 - Smart Vehicular Systems

Academic Year 2022/2023

  • Docente: Giovanni Pau
  • Credits: 6
  • SSD: INF/01
  • Language: English
  • Teaching Mode: Traditional lectures
  • Campus: Cesena
  • Corso: Second cycle degree programme (LM) in Computer Science and Engineering (cod. 8614)

    Also valid for Second cycle degree programme (LM) in Computer Science and Engineering (cod. 8614)

Learning outcomes

Students taking this class: - Will An extended knowledge of challenges and opportunites in the area of vehicular communications including V2V and V2I. The class material will include real world examples and deployments. - Will understand impact of mobility and propagation on Vehicular Systems performances - Will learn vehicular application scenarios and their evolution - Will learn how design and model for connected/autonomous vehicular systems.

Course contents

Autonomous and connected vehicles are changing automotive as we know it today. Computer Scientists and Engineers are at the center of this revolution. They are the ones behind the innovation and feature-design for  50% of features in any car in the market. This trend is accelerating with the market introduction of  connected cars, electric cars,  autonomous vehicles and Advanced Driver Assistance Systems (ADAS).

This course serves as an introduction to these exciting topics and to foster the curiosity for the open scientific challenges that are now being discussed by a global community of researchers.

Requirements:

  1. Computer network fundamentals and basic data communication theory,
  2. Network programming (i.e. Sockets) and
  3. Introductory knowledge of: distributed systems, event-driven programming, Linux OS and RTOS
 

Course Description:

This course provides a survey of vehicular computing paradigms, algorithms and systems with the goal of understanding the impact of mobility, propagation, computation and protocol tradeoffs in the connected vehicles scenarios.

The course covers fundamental and advanced principles of Vehicular Networks by studying the protocols and algorithms used in vehicular systems and applications and their expected evolution. Topics include: Intermittent Networks, Mobility and Propagation Challenges, Vehicular edge and fog paradigms (V2X/C-V2X), beyond IP communications, multi-homed connected vehicles, In-vehicle networking, introduction to privacy in vehicular systems, analysis of specific verticals and possible evolutions.

 

 

 

Readings/Bibliography

This Class will be based on research papers and book-chapters provided as studying material:

  • Research Papers, given in class

 

  • Reference Books:
  • Vehicular Networking, Cambridge University Press, 2014, ISBN 1107046718, 9781107046719
  • Vehicular Networks:From Theory to Practice, CRC Press, ISBN: 1420085891, 9781420085891
  • Intelligent Vehicular Networks and Communications: Fundamentals, Elsevier Press, ISBN: 0128095466, 9780128095461

 

  • Resources given in Class

Teaching methods

In class lectures,   research paper readings  and critiques

Assessment methods

The final grade will be the results of several factors:

  • In class participation
  • Assignments / Projects
  • Oral presentation / Written Exam

Teaching tools

Teaching Material will be available on the Intranet and Internet.

Office hours

See the website of Giovanni Pau