Integrating State-of-the-Art CNNs for Multi-Sensor 3D Vehicle Detection in Real Autonomous Driving Environments. - Rafael Barea; Luis Miguel Bergasa; Eduardo Romera; Elena López Guillén; Óscar Pérez-Gil; Miguel Tradacete; Joaquín López (ITSC, 2019)

Integrating OpenFace 2.0 Toolkit for Driver Attention Estimation in Challenging Accidental Scenarios. - Javier Araluce; Luis Miguel Bergasa; Carlos Gómez Huélamo; Rafael Barea; Elena López Guillén; Juan Felipe Arango; Óscar Pérez-Gil (WAF, 2020)

DQN-Based Deep Reinforcement Learning for Autonomous Driving. - Óscar Pérez-Gil; Rafael Barea; Elena López Guillén; Luis Miguel Bergasa; Pedro A. Revenga; Rodrigo Gutiérrez; Alejandro Díaz (WAF, 2020)

A Waypoint Tracking Controller for Autonomous Road Vehicles Using ROS Framework. - Rodrigo Gutiérrez; Elena López Guillén; Luis Miguel Bergasa; Rafael Barea; Óscar Pérez-Gil; Carlos Gómez Huélamo; Juan Felipe Arango; Javier del Egido; Joaquín López (Sensors, 2020)

Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications. - Óscar Pérez-Gil; Rafael Barea; Elena López Guillén; Luis Miguel Bergasa; Carlos Gómez Huélamo; Rodrigo Gutiérrez; Alejandro Díaz (IV, 2021)

Gaze Focalization System for Driving Applications Using OpenFace 2.0 Toolkit with NARMAX Algorithm in Accidental Scenarios. - Javier Araluce; Luis Miguel Bergasa; Manuel Ocaña; Elena López Guillén; Pedro A. Revenga; Juan Felipe Arango; Óscar Pérez-Gil (Sensors, 2021)

Deep reinforcement learning based control for Autonomous Vehicles in CARLA. - Óscar Pérez-Gil; Rafael Barea; Elena López Guillén; Luis Miguel Bergasa; Carlos Gómez Huélamo; Rodrigo Gutiérrez; Alejandro Díaz (Multim. Tools Appl., 2022)