Autonomous driving via marriage between deep learning and control theory: Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning in IEEE Access

We are working on a three year project entitled by “Autonomous driving control systems utilizing deep-learning based situation awareness and its uncertainty”, funded by National Research Foundation of Korea (NRF) (PI Choi). In this project, we study a novel deep learning model that estimates various parameters required for the autonomous driving control and their uncertainties as well in real time. Finally, we develop autonomous driving control strategies that can exploit estimated parameters and their uncertainties in order to guarantee the safety and performance of the autonomous vehicle.