Armando Astudillo Olalla
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Position: M.Sc. Student
Email: aastudil[at]ing.uc3m.es Telephone: +34 91 624 62 30 Address: C/ Butarque, 15, 28911 Leganés, Madrid Office: 1.3.B16 |
Brief Bio
Armando received the Bachelor’s Degree in Industrial Electronics and Automation Engineering from Universidad Carlos III de Madrid, Spain, in 2017.
He joined the Intelligent System Lab, within the Department of Systems and Automation Engineering, in 2016 for his Bachelor’s thesis (TFG), where he developed a Brainwave Controller for the iCab.
He's finishing his Master's thesis (TFM). The goal of his work is to develop a high-level fusion algorithm to detect and locate obstacles for intelligent vehicles.
His main research interests are related to computer vision, intelligent transport systems and software development.
He has experience with robotics and vision architectures such as Robotics Operative System (ROS) and Open Computer Vision library (OpenCV).
He joined the Intelligent System Lab, within the Department of Systems and Automation Engineering, in 2016 for his Bachelor’s thesis (TFG), where he developed a Brainwave Controller for the iCab.
He's finishing his Master's thesis (TFM). The goal of his work is to develop a high-level fusion algorithm to detect and locate obstacles for intelligent vehicles.
His main research interests are related to computer vision, intelligent transport systems and software development.
He has experience with robotics and vision architectures such as Robotics Operative System (ROS) and Open Computer Vision library (OpenCV).
Selected Publications
- A. Astudillo, F. M. Moreno, A. Hussein, and F. García. "Cost-efficient brainwave controller for automated vehicles route decisions", The 20th IEEE International Conference on Intelligent Transportation Systems (ITSC 2017), October 16-19, 2017, Yokohama, Japan.