4 months teaching
From May 2019 to October 2019.
Master in Autonomous Driving and enaBling Technologies
ADBoT aims at giving participants the knowledge of the enabling technologies and tools for the design and development of intelligent systems for connected and autonomous vehicles. Entirely taught in English, the Master is based on a multidisciplinary approach ranging from mechanics, computer science, electronics, robotics, automation and artificial intelligence.
The course objectives, the learning outcomes and the contents are defined by accurately coordinating the state-of-the-art research contributions of Universities (UniTN, UniMORE) and Research Centers (FBK, CRF) with the knowledge and experience of the industrial partners, including an internship proposed as a real-world training case of study for the participants that also gives the opportunity to be considered for open roles at partner companies.
Lectures on relevant knowledge and tools for the design and development of intelligent and connected vehicles including autonomous driving.
Tutorial lectures and hands-on activities on real data to practise what has been taught during lectures.
A series of seminars with experts, roughly one every two weeks, on specific topics related to enabling technologies for autonomous driving.
Each student will choose one project for his internship among a list of proposed topics suggested by the partner industries to apply to put into practise the acquired knowledge.
Worried about not having the right scientific/engineering background?
We have created an introduction course to help prepare you for the main topics of the master course and fill the gaps in your background knowledge.
According to your needs you can get the basics of physics and mechanics, electronics, statistics, linear algebra, C++ programming an pyton.
Learn about vehicle system network (including CAN, AUTOSAR), architecture and software, functional safety, realtime OS for autonomous driving and GPU programming also with hands-on activities.
Learn about various cognitive architectures that can be used for autonomous driving from traditional paradigms to more recent ones in the robotics field. The main aspects related to modern HRI technologies will be also covered, addressing topics such robot learning, emotion recognition, gesture and facial recognition, dialogue systems, robot trust and ethics.
You will be taught and practise about learning techniques based on deep neural networks, main layers and architectures of reference for the analysis of numerical data, images and temporal data both in supervised and unsupervised. Sensor fusion, lane, object recognition and segementation will be part iof the content.
Learn about operation, control and use of the different types of electric motor drives and sensors used in automotive applications for assisted and autonomous driving. You then learn how to localise in the world, plan and control an autonomous car.
Learn about Vehicle connectivity technologies (V2X) for safety and cooperative driving. You will also be introduced to the main cybersecurity concepts in connectivity and automatic/autonomous driving, the meachnisms of attacks to modern vehcile security and how to detect, prevent, and react to them.
Learn about modern simulation tools for design and development of ADAS and autonomous vehicles along with basics knowledge of vehicle dynamics and most used models used to simulate and design and control systems.
Tutorials and hands-on activities will help you get the sensitivity to model characteristics and limitations.
From May 2019 to October 2019.
From October 2019 to April 2020
162980569: IMG>Fotolia.com, "young woman reading a book in a autonomous car...", ©metamorworks
218820401: IMG>Fotolia.com, "Artificial intelligence and vehicle concept", ©peshkov
149978638: IMG>Fotolia.com, "vehicle cockpit and screen, car electronics, automotive technology, ...", ©metamorworks
180255092: IMG>Fotolia.com, "Transportation and display concept", ©peshkova
128645562: IMG>Fotolia.com, "Network and Connection technology concept with Bangkok Expresswa", ©tawanlubfah
151243944: IMG>Fotolia.com, "Autonomous smart car", ©AndSus