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Luis Mejias |
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Profile
Qualifications, Career history and Professional and Group Associations QualificationsBEng, Msc, PhD Career History and biography
Professional and Group Associations
Awards
Research
Research areas and external collaborators Research AreasWithin the broad field of aerospace research, Dr. Luis Mejias Alvarez and his research team have defined three main research areas:
Computer Vision and Robotics
Computer vision The benefits of robots to industry include improved management control and productivity resulting in an economic advantage in the world market. But if such a system can be provided with a method of actually interacting with the physical world, its usefulness is greatly increased. An essential component of robotics has to do with artificial sensory systems in general and artificial vision in particular. Dr. Luis Mejias and his research team have been studying the intimate association between computer vision and robotics. Their group has been instrumental in the development of the active vision paradigm. Their main areas of research are:
Unmanned aerial vehicles: Navigation and Control
Unmanned aerial vehicles Unmanned aerial vehicles (UAV) are poised to reshape our future by either reducing or eliminating the need for manned aircraft in dangerous situations. The civilian applications of UAV in the future are going to be numerous. For example, beaming information back to terrestrial control stations about real time incidents such as forest fires, volcanic eruptions or simply keep an eye on agricultural crops and borders etc. However, before this vision becomes anywhere near reality, many technological barriers have to be overcome. The barriers to UAV proliferation are many and the biggest hurdle has been navigation and control. If aircraft are to take to the skies without pilots, they must be equipped with the technology to successfully navigate and maintain control in any kind of situation.
Dr. Luis Mejias and his team research UAV applications, focussing on the navigation and control of UAV using a range of sensors and the implementation of traffic control systems enabling drones to share the same air space safely with regular aviation. Their main areas of research are:
Telecommunication Systems
Communication systems
Newer telecommunications technologies are impacting on urban growth and development. Stronger telecommunications technologies are required to strengthen modern cities which are centers for international finance and information services. Dr. Luis Mejias and his team carry out research into emerging telecommunications infrastructure and analyse the distinctive roles of government and business in the planning and development of this infrastructure. Their research investigates new telecommunication devices and the influence of the emerging telecommunications infrastructure on the operational development in the aerospace field.
Their main areas of research are:
External collaboratorsWithin the broad field of aerospace research, Dr. Luis Mejias and his research team has strong collaborations with:
Teaching
Teaching areas and achievements and units taught Teaching areas
Grants
Funding and selected list of awarded projects
Supervision
Selected list of student projects Selected List of Research Student ProjectsWithin the broad field of aerospace, Dr. Luis Mejias’s students have undertaken following funded research projects:
Visual servoing and dynamic path planning for fixed-wing UAV forced landing in unknown environmentsStudent: Eng, Pillar C This research focuses on the creation of an automated forced landing system. UAVs can be provided with a natural sensing modality that attempts to emulate human pilot performance. Primarily, this includes the use of machine vision for navigation and guidance. The research covers the creation of dynamic path planning techniques that deals with the challenging problem of accounting for unknown disturbance during the flight. Multi-criteria decision making and descent planning for UAVs in the event of forced landing
Forced landing research
Student: Liu, Xi Autonomous decision making for forced landing site selection involves extracting expert knowledge on decision preferences and priorities, mathematically modelling the decision process, and optimising to account for differences in the unmanned aircraft compared to manned aircraft. This process must be done in a computationally efficient manner in real time as the entire system will be implemented onboard a small UAV. An Integrated Flight Control and Collision Avoidance for UAVsStudent: Degen, Shane The overarching research goal is to find a technique/method to reliably negotiate a collision scenario. This research investigates how a UAV would safely and reliably negotiate a collision once a potential threat has been identified. The idea will be to explore common techniques of UAV control and guidance and model some of the current methods for collision avoidance comparing strengths and weaknesses of each method for different collision scenarios. Then a novel algorithm will be developed that will exploit the sensor characteristics to negotiate the obstacle. Power Line Detection and Monitoring using Fixed Wing Unmanned Aerial Vehicles
Process for detecting and controlling a UAU to monitor power lines
Student: Mills, Steven The purpose of this research is to investigate the feasibility of detecting and controlling a UAV to monitor power lines. Many applications can benefit from images of power infrastructure attained at low altitudes including fault detection and vegetation management. However traditional control methods are not optimized to track such objects and therefore the imagery is less than ideal for such applications. The research project itself will focus on two main areas, namely image processing and control. Image Processing will be used to the detect power lines from the UAVs onboard camera, utilizing processes such as the Hough Transform. Once the line is detected, the goal is to then track the line by implementing a low level controller that will attempt to manoeuvre the UAV such that the line remains in the field of view thus improving data collection.
Publications
Selected list of publications Selected List of PublicationsFor more publications eprints: http://eprints.qut.edu.au/view/person/Mejias,_Luis.html
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