Abstract

In recent years, large progress has been made in autonomous driving and this technology is likely to change the way society conceives transportation systems. Autonomous cars are to improve significantly the safety on the roads but progress has yet to be made to scale existing techniques to complex situations such as urban environments. Recent advances in machine learning algorithms show great promises in solving some of these challenges notably in the domains of perception, prediction, and planning. In this talk Maxime Bouton will give an overview of the current machine learning landscape with a focus on deep learning and reinforcement learning and applications to autonomous driving problems.

The lecture is intended for students at the Department. Welcome!