Brief Bio

Álvaro Ramajo Ballester is a researcher and PhD candidate from the Intelligent Systems Lab at Universidad Carlos III de Madrid. His main contributions lie within the domain of Deep Learning applied to 3D environment perception for autonomous vehicles with LiDAR and monocular images.

Publications

• “Dual license plate recognition and visual features encoding for vehicle identification”. Á. Ramajo-Ballester, J. M. Armingol Moreno, A. de la Escalera Hueso. Robotics and Autonomous Systems. 2023. https://doi.org/10.1016/j.robot.2023.104608
• “3D Object Detection for Autonomous Driving: A Practical Survey”. Á. Ramajo-Ballester, A. de la Escalera Hueso, J.M. Armingol Moreno. International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS – Proceedings. 2023. Pages 64-73. 2023. https://www.scitepress.org/Papers/2023/117484/117484.pdf
• “Deep Learning for Robust Vehicle Identification”. Á. Ramajo Ballester, J. González Cepeda, J.M. Armingol Moreno. Lecture Notes in Networks and Systems. Volume 589. Pages 346-358. 2023.
• “Reidentificación de vehículos mediante técnicas de deep learning”. Á. Ramajo Ballester, J. González Cepeda, J.M. Armingol Moreno, A. de la Escalera Hueso. Proceedings of the XLIII Jornadas de Automática. 2022.
• “Intelligent Video Surveillance Systems for Vehicle Identification Based on Multinet Architecture”. Jacobo González-Cepeda, Álvaro Ramajo, José María Armingol. Information. Volume 13. Number 7. 2022.
• “Vehicle re-identification in road environments using deep learning techniques”. Álvaro Ramajo-Ballester, Jacobo González Cepeda, José María Armingol Moreno. ITS European Congress. 2022. https://doi.org/10.3390/info13070325

Teaching

• Computer Vision
• Control Engineering I