| Deep reinforcement learning based control for Autonomous Vehicles in CARLA Ó Pérez-Gil, R Barea, E López-Guillén, LM Bergasa, C Gómez-Huélamo, ... Multimedia Tools and Applications 81 (3), 3553-3576, 2022 | 72 | 2022 |
| Dqn-based deep reinforcement learning for autonomous driving O Pérez-Gil, R Barea, E López-Guillén, LM Bergasa, PA Revenga, ... Advances in Physical Agents II: Proceedings of the 21st International …, 2021 | 9 | 2021 |
| Autonomous vehicle control in CARLA challenge J del Egido Sierra, A Diaz, LM Bergasa, R Barea, ME López Transportation research procedia 58, 69-74, 2021 | 5 | 2021 |
| Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications Ó Pérez-Gill, R Barea, E López-Guillén, LM Bergasa, C Gómez-Huélamo, ... 2021 IEEE Intelligent Vehicles Symposium (IV), 1268-1273, 2021 | 3 | 2021 |
| Integrating OpenFace 2.0 Toolkit for Driver Attention Estimation in Challenging Accidental Scenarios J Araluce, LM Bergasa, C Gómez-Huélamo, R Barea, E López-Guillén, ... Advances in Physical Agents II: Proceedings of the 21st International …, 2021 | 1 | 2021 |
| A waypoint tracking controller for autonomous road vehicles using ROS framework R Gutiérrez Moreno, ME López Guillén, Ó Pérez Gil, R Barea Navarro, ... MDPI, 2020 | | 2020 |
| The Experience of Robesafe Team in CARLA Autonomous Driving Challenge J Egido Sierra, Ó Pérez Gil, ME López Guillén, R Barea Navarro, ... | | 2019 |
| Integrating state-of-the-art CNNs for multi-sensor 3D vehicle detection in real autonomous driving environments R Barea Navarro, LM Bergasa Pascual, E Romera Carmena, ... IEEE, 2019 | | 2019 |
| Control de robots aéreos en entorno Matlab-ROS utilizando el simulador V-REP Ó Pérez Gil | | 2018 |
