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Alejandro Díaz
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Journal Articles
- 2022
- [j2]Óscar Pérez-Gil, Rafael Barea, Elena López Guillén, Luis Miguel Bergasa, Carlos Gómez Huélamo, Rodrigo Gutiérrez, Alejandro Díaz:
Deep reinforcement learning based control for Autonomous Vehicles in CARLA. Multim. Tools Appl. 81(3): 3553-3576 (2022) - 2021
- [j1]Alejandro Díaz, Rodrigo Mahú, José Novoa, Jorge Wuth, Jayanta Datta, Néstor Becerra Yoma:
Assessing the effect of visual servoing on the performance of linear microphone arrays in moving human-robot interaction scenarios. Comput. Speech Lang. 65: 101136 (2021)
Conference and Workshop Papers
- 2023
- [c5]Alejandro Díaz, Juan Carlos Bello-Robles, Rita Quetziquel Fuentes-Aguilar, Javier Ruiz-León:
Control System for Vibration Attenuation in a Flexible Beam. CCE 2023: 1-6 - 2022
- [c4]Carlos Gómez Huélamo, Alejandro Díaz, Javier Araluce, Miguel E. Ortiz, Rodrigo Gutiérrez, Felipe Arango, Angel Llamazares, Luis Miguel Bergasa:
How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline. IV 2022: 1282-1289 - 2021
- [c3]Carlos Gómez Huélamo, Luis Miguel Bergasa, Rodrigo Gutiérrez, Juan Felipe Arango, Alejandro Díaz:
SmartMOT: Exploiting the fusion of HDMaps and Multi-Object Tracking for Real-Time scene understanding in Intelligent Vehicles applications. IV 2021: 710-715 - [c2]Óscar Pérez-Gil, Rafael Barea, Elena López Guillén, Luis Miguel Bergasa, Carlos Gómez Huélamo, Rodrigo Gutiérrez, Alejandro Díaz:
Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications. IV 2021: 1268-1273 - 2020
- [c1]Óscar Pérez-Gil, Rafael Barea, Elena López Guillén, Luis Miguel Bergasa, Pedro A. Revenga, Rodrigo Gutiérrez, Alejandro Díaz:
DQN-Based Deep Reinforcement Learning for Autonomous Driving. WAF 2020: 60-76
Informal and Other Publications
- 2019
- [i1]José Novoa, Rodrigo Mahú, Alejandro Díaz, Jorge Wuth, Richard M. Stern, Néstor Becerra Yoma:
Weighted delay-and-sum beamforming guided by visual tracking for human-robot interaction. CoRR abs/1906.07298 (2019)
Coauthor Index
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