1338564
Associate Professor
Luis Mejias Alvarez
Faculty of Engineering,
School of Electrical Engineering & Robotics
Biography
Luis Mejias studied electronic engineering at UNEXPO (Venezuela) obtaining the degree of Electronic Engineer in November 1999. In 2000, he joined the master program at ETSIT-Universidad Politécnica de Madrid obtaining a Msc. in Networks and Telecommunication Systems in 2001. After completing his master, he moved to DISAM (ETSII) Universidad Politécnica de Madrid where he obtained his doctorate in Robotics and Automation. While completing his PhD he gained extensive experience with Unmanned Aerial Vehicles (UAVs) and in particular Autonomous Helicopters investigating computer vision techniques for Guidance, Control and Navigation of UAVs. He is currently an Associate Professor and Researcher at Queensland University of Technology.Personal details
Positions
- Associate Professor, UAV
Faculty of Engineering,
School of Electrical Engineering & Robotics
Keywords
Unmanned Aerial Systems (UAS), Vision-Based Guidance and Navigation for UAS, Collision Avoidance and Forced Landing Technologies for UAS, Computer Vision & Pattern Recognition, Sensor Fusion, Visual Servoing
Research field
Aerospace engineering, Artificial intelligence, Electrical engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD(Robotics and Automation) (Universidad Politecnica de Madrid)
- GradCertEd (HigherEd) (Queensland University of Technology)
Professional memberships and associations
- Deputy Director, Australian Research Centre for Aerospace Automation (2014-2016)
- Chair, QLD IEEE Control Systems Society/Robotics and Automation Society (2016,2018)
- Steering Committee, International Conference on Unmanned Aircraft Systems (2014-2018)
- Member of the Institute of Electrical and Electronics Engineers (IEEE)
- Member of the Instrumentation, Systems, and Automation Society (ISA)
Teaching
Teaching areas
- Aircraft Systems and Flight control
- Navigation Systems for Aircraft
- Space Technology
- Microcontrollers and Digital Systems
- Autonomous Systems
Publications
- Yang, X., Mejias Alvarez, L. & Bruggemann, T. (2013). A 3D collision avoidance strategy for UAVs in a non-cooperative environment. Journal of Intelligent and Robotic Systems: Theory and Applications, 70(1-4), 315–327. https://eprints.qut.edu.au/53391
- Mejias Alvarez, L. & Eng, P. (2013). Controlled emergency landing of an unpowered unmanned aerial system. Journal of Intelligent and Robotic Systems: Theory and Applications, 70(1-4), 421–435. https://eprints.qut.edu.au/53517
- Mellado-Bataller, I., Campoy, P., Olivares, M. & Mejias Alvarez, L. (2013). Rapid prototyping framework for visual control of autonomous micro aerial vehicles. Intelligent Autonomous Systems 12: Volume 1: Proceedings of the 12th International Conference IAS-12 [Advances in Intelligent Systems and Computing, Volume 193], 487–499. https://eprints.qut.edu.au/50709
- Lai, J., Ford, J., Mejias Alvarez, L., O'Shea, P. & Walker, R. (2012). See and avoid using onboard computer vision. In A. Plamen (Ed.), Sense and Avoid in UAS: Research and Applications (pp. 265–294). John Wiley & Sons. https://eprints.qut.edu.au/50789
- Lai, J., Ford, J., Mejias Alvarez, L. & O'Shea, P. (2013). Characterization of sky-region morphological-temporal airborne collision detection. Journal of Field Robotics, 30(2), 171–193. https://eprints.qut.edu.au/55883
- Mejias Alvarez, L., Lai, J., Ford, J. & O'Shea, P. (2012). Demonstration of closed-loop airborne sense-and-avoid using machine vision. IEEE Aerospace and Electronic Systems Magazine, 27(4), 4–7. https://eprints.qut.edu.au/47446
- Dusha, D. & Mejias Alvarez, L. (2012). Error analysis and attitude observability of a monocular GPS/visual odometry integrated navigation filter. International Journal of Robotics Research, 31(6), 714–737. https://eprints.qut.edu.au/46549
- Mejias Alvarez, L. & Greer, D. (2012). Flight Guardian: A common avionics architecture for collision avoidance and safe emergency landing for unmanned aerial systems. Proceeding of the 31st Digital Avionics Systems Conference, 8A3–10. https://eprints.qut.edu.au/53518
- Mcfadyen, A., Corke, P. & Mejias Alvarez, L. (2012). Rotorcraft collision avoidance using spherical image-based visual servoing and single point features. Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 1199–1205. https://eprints.qut.edu.au/54341
- Lai, J., Mejias Alvarez, L. & Ford, J. (2011). Airborne vision-based collision-detection system. Journal of Field Robotics, 28(2), 137–157. https://eprints.qut.edu.au/32801
QUT ePrints
For more publications by Luis, explore their research in QUT ePrints (our digital repository).
Awards
- Type
- Fellowships
- Reference year
- 2017
- Details
- Recipient of the 2017 Endeavour Executive Fellowship. The Australia Awards¿Endeavour Scholarships and Fellowships are the Australian Government's competitive, merit-based scholarships and fellowships providing opportunities for Australians to undertake study, research or professional development overseas and for overseas citizens to do the same in Australia.
- Type
- Visiting Professorships/Fellowships
- Reference year
- 2017
- Details
- Université de Bretagne Occidentale (UBO) (University of Western Brittany). I held a Visiting Professorship for 3 months at UBO to work on Autonomy approaches for Unmanned Aerial Vehicles
- Type
- Visiting Professorships/Fellowships
- Reference year
- 2017
- Details
- I held a Visiting Professorship position at UTIS to work on Beyond Line of Sight navigation approach for Unmanned Aerial Vehicles
- Type
- Editor/Contributor of a Prestigious Work of Reference
- Reference year
- 2016
- Details
- I was editor for this book. Springer Tracts in Advanced RoboticsVolume 105 2015Field and Service RoboticsResults of the 9th International ConferenceISBN: 978-3-319-07487-0 (Print) 978-3-319-07488-7 (Online)
- Type
- Keynote Speaker/Expert Panel Member/Invited Speaker for a Conference
- Reference year
- 2014
- Details
- I was a Keynote speaker on this congress during 2014. http://www.ciima2014.com/conferencistas
- Type
- Committee Role/Editor or Chair of an Academic Conference
- Reference year
- 2013
- Details
- I was program chair for this conference during 2013. http://www.uasconferences.com/
- Type
- Recipient of a Nationally Competitive Research Fellowship
- Reference year
- 2012
- Details
- I was awarded an inaugural DECRA fellowship by the ARC. Period 2012-2015
- Type
- International Collaboration
- Reference year
- 2009
- Details
- Dr. Mejias has been successful in receiving an International Research Staff Exchange Scheme (IRSES) grant in the 7 European FP of 70,000 Euros ($139,700 AUD). This grant, titled International Cooperation Program for Unmanned Aerial Systems (UAS) Research and Development (ICPUAS) is in partnership with Polytechnic University of Madrid and Cranfield University, and will allow the exchange of scientist between Australia and Europe.
Selected research projects
- Title
- Developing Novel Concepts for Improved Safety in Aircraft Emergency Situations
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- DE120100802
- Start year
- 2012
- Keywords
- Emergency Landing; National Airspace; Aircraft Warning Systems
- Title
- Automated vision-based aircraft collision warning technologies
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LP100100302
- Start year
- 2010
- Keywords
- Collision Warning; Aerial robotics; National Airspace
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Completed supervisions (Doctorate)
- Automated Scene Understanding from Aerial Imagery (2018)
- Visual Control for Automated Aircraft Collision Avoidance Systems (2015)
- Aircraft Dynamic Navigation for Unmanned Aerial Vehicles (2014)
- Filter and control Performance Bounds in the Presence of Model Uncertainties with Aerospace Applications (2013)
- Visual Guidance for Fixed-Wing Unmanned Aerial Vehicles Using Feature Tracking: Application to Power Line Inspection (2013)
- Integrated Vision-Based Attitude Estimation (2012)
- Path Planning, Guidance and Control for a UAV Forced Landing (2011)
Completed supervisions (Masters by Research)
- A Deep Learning Model for Automatic Image Texture Classification: Application to Vision-Based Automatic Aircraft Landing (2016)
- 3D Reconfigurable Autopilot Flight System for both General Aviation and Unmanned Aerial Systems (2015)
- Reactive Image-Based Collision Avoidance System for Unmanned Aircraft Systems (2011)