Eng. Alejandro Barrera del Pozo
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Position: Engineer
Email: alebarre[at]pa.uc3m.es Telephone: +34 91 624 62 30 Address: C/ Butarque, 15, 28911 Leganés, Madrid Office: 1.3.B16 |
Eng. Alejandro Barrera del Pozo
Brief Bio
Alejandro Barrera del Pozo received the Bachelor’s Degree in Industrial Electronics and Automation Engineering from Universidad Castilla-La Mancha de Toledo, Spain, in 2016.
He received his M.Sc. Degree in Robotics and Automation in Carlos III University in 2018. He joined the Intelligent Systems Lab, within the Department of Systems and Automation Engineering, in 2018 to finish his Master’s thesis (TFM), where he developed a Semantic Segmentation system for urban environments based on Deep Learning using monocular cameras for the IVVI 2.0.
He is currently working at the Intelligent Systems Laboratory. His main research lines are related to computer vision, deep learning and intelligent transport systems.
He has experience with robotics and vision architectures such as Robotics Operative System (ROS) and Open Computer Vision library (OpenCV).
He received his M.Sc. Degree in Robotics and Automation in Carlos III University in 2018. He joined the Intelligent Systems Lab, within the Department of Systems and Automation Engineering, in 2018 to finish his Master’s thesis (TFM), where he developed a Semantic Segmentation system for urban environments based on Deep Learning using monocular cameras for the IVVI 2.0.
He is currently working at the Intelligent Systems Laboratory. His main research lines are related to computer vision, deep learning and intelligent transport systems.
He has experience with robotics and vision architectures such as Robotics Operative System (ROS) and Open Computer Vision library (OpenCV).
Selected Publications
- Barrera, A., Guindel, C., García, F., & Martín, D. (2018). Análisis, evaluación e implementación de algoritmos de segmentación semántica para su aplicación en vehículos inteligentes. Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de Septiembre de 2018.
- Pizzati, F., Allodi, M., Barrera, A., & García, F. “Lane Detection and Classification using Cascaded CNNs” en International Conference on Computer Aided Systems Theory (EUROCAST), 2019.