Intelligent and autonomous vehicles
Tesla, Apple, Google and many others are trying. Will self-driving vehicles be the future? What intelligence is behind these vehicles?
In this course, conceived and prepared by professors of the Politecnico di Milano, Department of Electronics, Information and Bioengineering, we will try to answer some of these questions in a technical and scientific way. All the main tasks that an autonomous vehicle must solve will be addressed.
We will understand which instruments (sensors) are used to perceive the world around the vehicle. In particular, we will learn how to use LiDARs (laser sensors), radars and cameras.
In order to go somewhere, a self-driving car must know where it is. In this part we will study and put into practice the localization algorithms.
How is it possible to avoid accidents and reach the proper destination at the same time? It is the task of the navigation and planning algorithms, that trace the right path.
It is not enough to know where we are, where we want to go and where the obstacles are. A key piece of the autonomous driving puzzle is getting the vehicle to follow our orders. This is the task of the motion control algorithms that we will study, develop and test in this final part of the course.
Led by researchers from the Politecnico di Milano, the students will be able to experience how the design choices discussed influence the behavior of an autonomous prototype vehicle. Students will truly make experiments with an agile autonomous delivery vehicle: Yape.
To participate in the course, you will need to bring your laptop computer. Under no circumstances may you use a tablet. The necessary software would not be properly supported.
You will need one of the following operating systems with Office installed:
- Windows 7 (or later) or Windows Server (2012 R2+)
- MacOS 10.10 (or later)
The computer will need to satisfy the following requirements:
- Processor: Intel o AMD x86-64
- 5-8 GB free disk space
- At least 4 GB di RAM
Before the start of the course, you will have to download Matlab (https://it.mathworks.com/products/matlab.html), but to do so you will need a license that we will provide to you (for free) later on. You will receive further and detailed instructions in an email.
Starting dates: 13.06.2022
Duration: 1 week
Lessons timetable: 09:30 AM - 04:30 PM
Price: 700,00 €
Certification: Certificate of attendance
Teachers: Prof. Stefano Melzi :: Prof. Matteo Corno
Typical day: Look at the typical day