Caricamento in corso...
Technologies for Autonomous Vehicles
01SQHOV, 02SQHQW
A.A. 2025/26
Course Language
Inglese
Degree programme(s)
Master of science-level of the Bologna process in Ingegneria Informatica (Computer Engineering) - Torino
Master of science-level of the Bologna process in Mechatronic Engineering (Ingegneria Meccatronica) - Torino
Course structure
| Teaching | Hours |
|---|
Lecturers
| Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
|---|
Co-lectures
Context
| SSD | CFU | Activities | Area context | ING-IND/14 ING-INF/04 ING-INF/05 |
1 2 3 |
D - A scelta dello studente C - Affini o integrative C - Affini o integrative |
A scelta dello studente Attività formative affini o integrative Attività formative affini o integrative |
|---|
2023/24
The optional course is intended to introduce the concepts and technologies supporting autonomous driving and autonomous vehicles. The course is highly multidisciplinary and is based on three main pillars:
- basic concepts of vehicle dynamics, which will cover the mechanical aspects related to the dynamics of a ground vehicle;
- basic concepts of vehicle dynamic control, which will cover from the automatic control perspective the problem of controlling the dynamic behaviour of a ground vehicle;
- basic concepts of information technologies for autonomous vehicle, which will cover the technological aspects enabling the implementation of autonomous ground vehicles, such as sensors for autonomous vehicles, computing platforms and algorithms for autonomous vehicles.
The optional course is intended to introduce the concepts and technologies supporting autonomous driving and autonomous vehicles. The course is highly multidisciplinary and is based on three main pillars:
- basic concepts of vehicle dynamics, which will cover the mechanical aspects related to the dynamics of a ground vehicle;
- basic concepts of vehicle dynamic control, which will cover from the automatic control perspective the problem of controlling the dynamic behaviour of a ground vehicle;
- basic concepts of information technologies for autonomous vehicle, which will cover the technological aspects enabling the implementation of autonomous ground vehicles, such as sensors for autonomous vehicles, computing platforms and algorithms for autonomous vehicles.
- understating of the concept of autonomous vehicles;
- understanding of the dynamic vehicle behaviour from a mechanical point of view;
- understanding of the dynamic vehicle behaviour from a control theory point of view;
- understanding of the enabling technologies for implementing autonomous vehicles.
- understating of the concept of autonomous vehicles;
- understanding of the dynamic vehicle behaviour from a mechanical point of view;
- understanding of the dynamic vehicle behaviour from a control theory point of view;
- understanding of the enabling technologies for implementing autonomous vehicles.
Basic knowledge of MATLAB/Simulink.
Basic knowledge of MATLAB/Simulink.
Definition of autonomous ground vehicles according to SAE classification (0.5 CFU)
Elements of vehicle dynamics (2 CFU)
Elements of vehicle control (2 CFU)
Enabling technologies for autonomous vehicles (1.5 CFU)
Definition of autonomous ground vehicles according to SAE classification (0.5 CFU)
Elements of vehicle dynamics (2 CFU)
Elements of vehicle control (2 CFU)
Enabling technologies for autonomous vehicles (1.5 CFU)
The course will include theoretical lectures as well as experimental lectures held with the help of a vehicle dynamic simulator. The theory concepts will be first presented restoring to formal lectures and exercises held in class. These concepts will then be addressed from a practical point of view through laboratory experiments.
The course will include theoretical lectures as well as experimental lectures held with the help of a vehicle dynamic simulator. The theory concepts will be first presented restoring to formal lectures and exercises held in class. These concepts will then be addressed from a practical point of view through laboratory experiments.
Lectures notes will be provided by the teachers.
Lectures notes will be provided by the teachers.
Slides; Video lezioni dell’anno corrente;
Lecture slides; Video lectures (current year);
E' possibile sostenere l’esame in anticipo rispetto all’acquisizione della frequenza
You can take this exam before attending the course
Modalità di esame: Prova scritta (in aula);
Exam: Written test;
...
The exam consists of a 60 minutes written exam, closed book, where students will be asked to illustrate theory concepts, as well as to solve exercises by applying the theory concepts. The maximum score for the written exam is 33.
Students have the possibility of developing optional assignments, which will provide a maximum score of 6.
The final score is obtained by adding the written exam score to the optional assignment score. In case the final score is 33, the final grade is 30L.
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 a 60 minutes written exam, closed book, where students will be asked to illustrate theory concepts, as well as to solve exercises by applying the theory concepts. The maximum score for the written exam is 33.
Students have the possibility of developing three optional assignments (one on each part of the class) to replace the exam. Each assignment is discussed orally with the teacher, and evaluated from 0 to 33.
In this case, the final score is obtained as average of the three scores. In case the final score is 33, the final grade is 30L.
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.