Self-driving Cars

About

The course "Self-driving Cars" introduces basic concepts of self-driving cars using the software developed at the University of Tartu Autonomous Driving Lab as an example. The students implement core components of the modular autonomy stack from scratch in the Python programming language. They will test their software in the virtual Tartu simulation, which is a decimetre-level digital twin of the real city. The course ends with a demo ride in a self-driving Lexus vehicle that uses the very same software covered in the course

Course leader

Tambet Matiisen Tambet Matiisen runs the Autonomous Driving Lab at the University of Tartu. His research interests include deep reinforcement learning and AI in general. Course leader Edgar Sepp Edgar Sepp is a research engineer at the Autonomous Driving Lab. His background is in geoinformatics, and he is currently the lead engineer for the self-driving software. Live Demos Karl-Johan Pilve Karl-Johan Pilve is a research engineer at the Autonomous Driving Lab. He is a recent graduate of our lab and is one of the engineers working on the self-driving software. He is also an active contributor to the OpenStreetMap project. Practical sessions Dmytro Zabolotnii Dmytro Zabolotnii is a doctoral researcher at the Autonomous Driving Lab. His research focuses on pedestrian behaviour prediction, one of the most challenging problems in autonomous driving.

Target group

Master's, PhD students and lifelong learners

Course aim

-can understand the software implemented in Robot Operating System (ROS);
-can describe the modular architecture of the autonomous driving systems;
-can implement core modules for modular architecture: perception, planning, and control;
-can explain different approaches to the planning and control of autonomous vehicles;
-has an overview of possible validation and testing methods for autonomous driving

Fee info