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Technologies for Autonomous Vehicles
01SQHOV, 01SQHSM, 02SQHQW
A.A. 2020/21
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 Data Science And Engineering - Torino
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 | 20 | 0 | 0 | 0 | 7 |
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 D - A scelta dello studente D - A scelta dello studente |
A scelta dello studente A scelta dello studente A scelta dello studente |
|---|
2020/21
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.
Modalità di esame: Prova scritta su carta con videosorveglianza dei docenti;
The exam consists in three questions/exercises, one for each part of the class, and it lasts 1 hour. Each part is evaluated from 0 to 33, and 18 is required as the minimum in each exam part. The final grade is obtained as average of the evaluation of the three parts. In case 33 is obtained, the final grade equal 30L will be recorded.
Exam: Paper-based written test with video surveillance of the teaching staff;
The exam consists in three questions/exercises, one for each part of the class, and it lasts 1 hour. Each part is evaluated from 0 to 33, and 18 is required as the minimum in each exam part. The final grade is obtained as average of the evaluation of the three parts. In case 33 is obtained, the final grade equal 30L will be recorded.
Modalità di esame: Prova scritta (in aula); Prova scritta su carta con videosorveglianza dei docenti;
The exam consists in three questions/exercises, one for each part of the class, and it lasts 1 hour. Each part is evaluated from 0 to 33, and 18 is required as the minimum in each exam part. The final grade is obtained as average of the evaluation of the three parts. In case 33 is obtained, the final grade equal 30L will be recorded.
Exam: Written test; Paper-based written test with video surveillance of the teaching staff;
The exam consists in three questions/exercises, one for each part of the class, and it lasts 1 hour. Each part is evaluated from 0 to 33, and 18 is required as the minimum in each exam part. The final grade is obtained as average of the evaluation of the three parts. In case 33 is obtained, the final grade equal 30L will be recorded.