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Óscar Pérez Gil

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Position: Master Student

LinkedIn: oscar perez gil

About me

I am Óscar Pérez, a graduate in Communications Electronics Engineering with the second extraordinary prize and a student of the Master's Degree in Telecommunications Engineering at the University of Alcalá. I collaborate in the Robesafe group, within the Tech4AgeCar project, doing my TFM.

Research areas

Deep Learning, Reinforcement Learning, Autonomous Vehicles, Object Detection and Tracking, CARLA, Neural Networks

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Javier del Egido Sierra

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Position: MSc on Industrial Engineering

LinkedIn: javier del egido

GitHub: JavierEgido

About me

Industrial Engineering at Universidad de Alcalá. You can retrieve more info about me on LinkedIn, or check some of my developed projects on GitHub

Research areas

Autónomos Navigation, LIDAR processing, CNNs object detection

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Javier Araluce Ruiz

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Position: Master Student

LinkedIn: javier araluce ruiz

GitHub: kuasho

About me

Industrial engineer specialized in robotics and perception

Research areas

Vehicle to User layer (V2U layer)

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Carlos Gómez Huélamo

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Position: PhD student

LinkedIn: carlos gómez huélamo

GitHub: Cram3r95

About me

My name is Carlos Gómez Huélamo, currently PhD candidate in Artificial Intelligence and Robotics at the RobeSafe research group (Electronics Department, University of Alcalá) under the supervision of Prof. Luis Miguel Bergasa and Prof. Rafael Barea Navarro. I received my BSc degree in Industrial Electronics and Automation Engineering (Top 3 students) from the University of Alcalá (2013-2017) , in which I was granted with an Erasmus+ scholarship to study in the University College of Cork (UCC, Ireland) and my MSc in Industrial Engineering (Top 2 students) from the University of Alcalá (2017-2019), in which I was granted with an Erasmus+ scholarship to study in the Tampere University of Technology (TUT, Finland). As member of the RobeSafe research group, I am working in research projects with other universities and companies to generate an important technology transfer to companies and publications. In particular, my PhD thesis is focused on "Deep Learning based Multi-Object Tracking, Sensor Fusion and Motion Forecasting for Autonomous Driving applications". Main areas of interest consist of Computer Vision, Machine Learning, Deep Learning, Robotics, Embedded Systems and any field related to these.

Research areas

Computer Vision, Machine Learning, Deep Learning, Robotics, Embedded Systems, Sensor Fusion, Autonomous Vehicles.