Learning objectives
At the end of the course the student is expected to:
- know the various types of ADAS and their technologies;
- has understood the complexity of an AD system and is able to break it down into its components;
- has gained experience on the interaction between the various components of an AD system and is able to develop a small part and make it interact with the others.
Prerequisites
There are no specific prerequisites, but students are expected to be able to handle a small project with good autonomy.
Course unit content
The course provides an overview of the various technologies of autonomous driving and driver assistance systems.
After the introductory part, which will contain a critical analysis of the history of autonomous vehicles and a description of recent evolutions, the course will offer an analysis of the sensors used, with a particular focus on the most recent radar technologies.
This will be followed by a description of the ADAS currently on the market and the processing systems currently used.
In addition to the description of the sensors and actuators, the processing systems and algorithms commonly used in both the perception and planning parts will be presented.
Other topics will be: functional safety, regression testing, simulators.
Different autonomous vehicle architectures will be presented, with presentations by external experts as well.
The final part of the course will be dedicated to laboratories, in which each student will have the opportunity to develop an ADAS or a part of an autonomous driving system.
The decision of the laboratory projects will be made about halfway through the course, also evaluating the number of students.
Full programme
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Bibliography
There is no reference book, when possible in-depth scientific articles will be reported.
Teaching methods
Lectures and laboratory.
Assessment methods and criteria
The assessment will consist of a written test on the topics of the lectures and a presentation of the work carried out in the laboratory.
The evaluation will be the arithmetic average of the evaluations of the two tests.
Other information
The course is offered to people with different backgrounds, so some topics may overlap with topics covered in previous courses.
2030 agenda goals for sustainable development
9 Industry, innovation and infrastructure
