Luis Miguel Bergasa
At present, I’m Professor at the Department of Electronics of the University of Alcalá (UAH) and lead the RobeSafe research group. I received the MS degree in Electrical Engineering in 1995 from the Technical University of Madrid and the PhD degree in Electrical Engineering in 1999 from the University of Alcalá. Since April 2014 I’ve been appointed Director of Technology Transfer at the University of Alcalá.
I was Head of the Department of Electronics (2004-2010), coordinator of the Master Advanced Electronic Systems, Intelligent Systems (2007-2010) and coordinator of the Doctorate program in Electronics (2005-2010). Besides, I was Associate Service Inspector of the UAH (2012-2013). This course I’m teaching the subjects Computer Vision Systems and Intelligent Control Systems included in the Master AES.IS.
I'm author of more than 150 refereed papers in journals and international conferences, and corresponding author of 6 national patents and 1 PCT patent. Currently I have a Scholar Google h-index=19 and an ISI h-index=12. I've been recipient of 13 prizes related to Robotics and Automotive fields from 2004-2014. I'm Associate Editor of the IEEE Transactions on Intelligent Transportation Systems, member of the Editorial Board of International Journal of Vehicular Technology, and habitual reviewer in 12 journals included in the JCR index. I've served on Program/Organizing Committees in more than 15 conferences. In 1998 I was Research Visitor at the Computer Vision Research Group of the Trinity College in Dublin (Irland) and a Visiting Scholar at the Toyota Technological Institute at Chicago from June to August, 2013 collaborating with Raquel Urtasun. Since 2009, I'm Research Director of Vision Safety Technologies Ltd, a spin-off company established to commercialize computer vision systems for road infrastructure inspection.
My research interests include real-time Computer Vision for Assistant Robotics and Intelligent Vehicles. My main research over the past few years has been on Advanced Driver Assistance Systems (ADAS) (light beam controller, driver drowsiness and distractions detection, occupants monitoring and perimetral vision) as well as on SLAM (Simultaneous Localization and Mapping) using stereo vision.
Currently my main interests are, on the one hand, driving behaviors understanding using Computer Vision and Machine Learning Techniques, and on the other hand, Visual Localization and Scene Understanding. Please contact me if you are interested in coming to RobeSafe group for PhD studies or post-doctoral research as I am always looking for excellent new team members. Researchers with an interest in my university, please have a look at the Fellowships program of the University of Alcalá.
Current PhD students
o Topic: Supervised Learning and Inference of Semantic Information from Road Scene Images: Objects and Layout
o Internships: Toyota Technological Institute at Chicago (USA), Technische Universität Darmstadt (TU-D) (Germany)
o Forecasted date for reading: July 2014
o Topic: Non-rigid Structure from Motion using a single camera
o Internships: Queen Mary University of London (England)
o Forecasted date for reading: December 2014
o Topic: Life-long visual localization using probabilistic temporal inference
o Forecasted date for reading: February 2017
Past Postdoctoral researchers
o Spanish Fellowship “Juan de la Cierva”
o Topic: Abstraction, Synthesis, and Integration of Information for Human-Robot Teams
o Contract: from February 2012 to October 2012
Past PhD students
o Title: Text Detection and Recognition in Natural Images using Computer Vision Techniques
o Reading date: February 22, 2013
o Internships: University of Surrey (England), RWTH in Aachen (Germany)
o Title: Vision Based Localization: From Humanoid Robots to Visually Impaired People
o Reading date: October 21, 2011
o Internships: Georgia Institute of Technology (USA), Imperial College London (England), AIST-Tsukuba (Japan)
o Awards: 3M Innovation Award. Category: Safety. 2011
· Iván G. Daza. Now Assistant Professor at UAH
o Title: Driver Fatigue Detection using Advanced Driver Assistance Systems (ADAS) Fusion
o Reading date: October 14, 2011
o Internships: Chalmers University (Sweden)
o Title: Face Pose Estimation with Automatic 3D Model Creation for a Driver Inattention Monitoring Application
o Reading date: March 18, 2011
o Internships: Computer Science Department, Trinity College Dublin (Irland), CSIRO Robotics Centre (Australia)
o Title: FaceTracking with active Models for a Driver Monitoring Application
o Reading date: October 30, 2009
o Internships: CSIRO Robotics Centre (Australia), Chalmers University (Sweden)
o Title: Simultaneous Localization and Mapping based on stereo vision for improving vehicle navigation in large environments
o Reading date: February 2, 2009
o Awards: Second prize in the Eduardo Barreiros Foundation Award to the Best Research Work on the Automotive field in Spain in 2010
· Edward Rafael Blanco (jointly with Manuel Mazo at UAH)
o Title: Contribution to segmentation in the HSI color space. Application to Gesture Recognition
o Reading date: July 24, 2008
· Manuel Ocaña. Now Associate Professor at the UAH
o Title: Global localization system based on WiFi (Wireless Fidelity) signal measurements applied to the navigation of a semiautonomous robot
o Reading date: May 20, 2005
Awards: Best PhD Thesis in
o Title: Global navigation system based on POMDP. Application for an assistance robot
o Reading date: February 2, 2004
o Awards: Best PhD Thesis in Robotics. Spanish Committee of Automatic. 2004
Past Master students
o Internships: University of Bristol (England)
Highlights of Recent/Upcoming papers (ONLY last year)
· M. Passani, José J. Yebes, L. M. Bergasa, “CRF-based semantic labeling in miniaturized road scenes”, IEEE Conference on Intelligent Transportation Systems (ITSC 2014). Qingdao, China (2014). Submitted
· R. Arroyo, P.F. Alcantarilla, L.M. Bergasa, J. J. Yebes, S. Bronte, E. Molinos, “Fast and Effective Visual Place Recognition using Binary Codes and Disparity Information”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Chicago. Illinois. USA (2014). Accepted
· S. Bronte, M. Paladini, L.M. Bergasa, L. Agapito, R. Arroyo, “Real-Time Sequential Model-based Non-rigid SFM”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Chicago. Illinois. USA (2014). Accepted
· J. Javier Yebes, Luis M. Bergasa, Roberto Arroyo, Alberto Lázaro, Supervised learning and evaluation of KITTI’s cars detector with DPM, IEEE Intelligent Vehicles Symposium (IV), Dearborn, Michigan, USA (2014). [PDF] [Video]
· Luis M. Bergasa, Daniel Almería, Javier Almazán, J. Javier Yebes, Roberto Arroyo, DriveSafe: an App for Alerting Inattentive Drivers and Scoring Driving Behaviors, IEEE Intelligent Vehicles Symposium (IV), Dearborn, Michigan, USA (2014). [PDF] [Video]. Best Poster Presentation at the IV2014
· Roberto Arroyo, Pablo F. Alcantarilla, Luis M. Bergasa, J. Javier Yebes, Sergio Gámez, Bidirectional Loop Closure Detection on Panoramas for Visual Navigation, IEEE Intelligent Vehicles Symposium (IV), Dearborn, Michigan, USA (2014). [PDF] [Video]
· Á. González, L.M. Bergasa, J. Yebes, Text Detection and Recognition on Traffic Panels from Street-level Imagery Using Visual Appearance, IEEE Transactions on Intelligent Transportation Systems, Vol. 15, Nº 1, 228-238 (2014). [PDF]
· I.G. Daza, L.M. Bergasa, S. Bronte, J.J. Yebes, J. Almazán, R. Arroyo, Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection, Sensors, Vol 14, nº1, 1106-1131 (2014). [PDF]
· E. Garcia, M. Ocaña, L.M. Bergasa, M. Ferre, M. Abderrahim, J.C. Arevalo, D. Sanz-Merodio, E. Molinos, N. Hernandez, A. Llamazares, F. Suarez, and S. Rodriguez, Competing in the DARPA Virtual Robotics Challenge as the SARBOT Team, First Iberian Robotics Conference (ROBOT), Madrid, Spain. (2013) [PDF]
· E.J. Molinos, A. Llamazares, N. Hernández, R. Arroyo, A. Cela, M. Ocaña, L.M. Bergasa, Perception and Navigation in unknown environment: The Darpa Robotics Challenge, First Iberian Robotics Conference (ROBOT), Madrid, Spain. (2013) [PDF]
· Á. Cela, L.M. Bergasa, F. Sánchez, M. Herrera, D. Al-Dabass, Lanes Detection Based on Unsupervised and Adaptive Classifier, Fifth Intern. Confer. on Computational Intelligence, Communication Systems and Networks (CICSyN), Madrid, Spain (2013). [PDF]
· V. Milanés, L.M. Bergasa, Introduction to the Special Issue on New Trends towards Automatic Vehicle Control and Perception Systems, Sensors, Vol 13, nº 5, 5712-5719 (2013). [PDF]
Highlights of Recent/Upcoming professional service (ONLY last year)
· 2014. Best Poster Presentation at the 2014 Intelligent Vehicles Symposium. June 8-11, 2014, Dearborn, Michigan, USA
· 2014. Director of Technology Transfer at the University of Alcalá, since April 2014.
· 2014. International Program Committee and Associate Editor in the IEEE Intelligent Transportation Systems Conference (ITSC), Qingdao, Shandong, China, October 2014.
· 2014. Associate Editor of the IEEE Transactions on Intelligent Transportation Systems
· 2013. Best PhD Thesis in Electrical Engineering of the course 2011-2012 for Rafael Raya. University of Alcalá. (Academic tutor)
· 2013. IEEE ITSS Outstanding Application Award to the best applied work in Intelligent Transportation Systems for the project VISUALISE - Automatic Traffic Signs and Panels Inspection System using Computer Vision-.
· 2013. Top 10 Best Research Papers (2000 to 2009) in IEEE Intelligent Transportation Systems for the paper Real-time system for monitoring driver vigilance, IEEE T on ITS, Vol. 7, No. 1, 63-77 (2006)
· 2013. Robot 2013: First Iberian Robotics Conference, Madrid, Spain, November 2013. Program Committee Member
· 2013. International Program Committee in the IEEE Intelligent Transportation Systems Conference (ITSC), The Hague, The Netherlands, October 2013.
· 2013. Visiting Scholar at the Toyota Technological Institute at Chicago from June 2013 to August 2013 to work with Raquel Urtasun
· 2013. DriveSafe free App launching in the Apple Store (June 2013). It gives Lane Departure and Lane Change Warnings to the driver. In addition, it provides a global score of the driving behavior and some useful information about the trip.
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