• Pedestrian Path Prediction using Body Language Traits. 2014 IEEE Intelligent Vehicle Symposium

  • Pedestrian Path Prediction using Body Language Traits. 2014 IEEE Intelligent Vehicle Symposium

  • Extended Floating Car Data System -Experimental Study-. 2011 IEEE Intelligent Vehicle Symposium

  • SmartCross. 2014. Camera view (top-left), bird-eye view (bottom-left), 3D reconstruction (right)

Raúl Quintero Mínguez

I'm a reseacher in the INVETT Research Group, at the Computer Engineering Department, University of Alcalá, Alcalá de Henares (Madrid) Spain.

I was born in 1987 in Guadalajara (Spain). I received my BSc in Computer Science and my MSc in Advanced Electronics Systems - Intelligent Systems in 2009 and 2011 respectively. I started working for the Robesafe Research Group of the Electronics Department at the University of Alcalá in 2009 under the supervision of Dr. Miguel Ángel Sotelo Vázquez. Since 2011, I have worked for the INVETT Research Group of the Computer Engineering Department at the University of Alcalá under the supervision of Dr. Miguel Ángel Sotelo Vázquez as well.

I finished my PhD in 2017 (Thesis Book). My thesis presents a new approach for predicting accurate pedestrian paths based on 3D body language and action classification. To carry out the prediction, we propose the use of GPDM (Gaussian Process Dynamical Models) that reduces the high dimensionality of the input vector in the 3D space and learns the pedestrian dynamics in a latent space. Three papers have been published recently in the 2015 IEEE Intelligent Transportation Systems Conference, 2014 IEEE Intelligent Transportation Systems Conference and 2014 IEEE Intelligent Vehicles Symposium about the thesis (more information about my publications can be seen in the Publication section of this website).

In 2013, I did a three-month internship at the Sheffield Institute for Translational Neuroscience (SITRAN), in United Kingdom, under the advisory of Neil Lawrence who offered me the opportunity to learn about gaussian processes and GPLVM. In 2015, I did a three-month research stay at the Australian Centre For Field Robotics (ACFR) in Sydney (Australia) under the supervision of Eduardo Nebot.

My areas of interest include Intelligent Transportation Systems, Intelligent Vehicles, Advanced Driver Assistance Systems (ADAS), Machine Learning and Computer Vision.

At present, I teach the practical part of the subject of computer vision in the Electronics and Industrial Automation Engineering degree at the University of Alcalá and the subject of C/C++ programming in the Telecommunications Engineering degree at the University of Alcalá.