Francisco Alarcon

Dr. Francisco Alarcon

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2020 in Aerospace
Verified
Journal Article
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VAVíctor Alarcón
Víctor Alarcón
MGManuel García
Manuel García
FAFrancisco Alarcon
Francisco Alarcon
AVAntidio Viguria
Antidio Viguria
ÁMÁngel Martínez
Ángel Martínez
AOAnibal Ollero
Anibal Ollero
A safe integration of drones into the airspace is fundamental to unblock the potential of drone applications. U-space is the drone traffic management solution for Europe, intended to handle a large number of drones in the airspace, especially at very low level (VLL). This paper presents the procedures we have designed and tested in real flights in the SAFEDRONE European project to pave the way for a safe integration of drones into the airspace using U-space services. We include three important aspects: Design of procedures related to no-fly zones, ensure separation with manned aircraft, and autonomous non-cooperative detect-and-avoid (DAA) technologies. A specific U-space architecture has been designed and implemented for flight campaigns with up to eight drones with different configurations and a manned aircraft. From this experience, specific recommendations about procedures to exit and avoiding no-fly zones are presented. Additionally, it has been concluded that the use of surveillance information of manned aircraft will allow a more efficient use of the airspace while maintaining a proper safety level, avoiding the creation of large geofence areas.

20 February 2019 in Sensors
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Journal Article
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FAFrancisco Alarcon
Francisco Alarcon
MGManuel García
Manuel García
IMIvan Maza
Ivan Maza
AVAntidio Viguria
Antidio Viguria
AOAnibal Ollero
Anibal Ollero
This article presents a precise landing system that allows rotary-wing UAVs to approach and land safely on moving platforms, without using GNSS at any stage of the landing maneuver, and with a centimeter level accuracy and high level of robustness. This system implements a novel concept where the relative position and velocity between the aerial vehicle and the landing platform are calculated from the angles of a cable that physically connects the UAV and the landing platform. The use of a cable also incorporates a number of extra benefits, such as increasing the precision in the control of the UAV altitude. It also facilitates centering the UAV right on top of the expected landing position, and increases the stability of the UAV just after contacting the landing platform. The system was implemented in an unmanned helicopter and many tests were carried out under different conditions for measuring the accuracy and the robustness of the proposed solution. Results show that the developed system allowed landing with centimeter accuracy by using only local sensors and that the helicopter could follow the landing platform in multiple trajectories at different velocities.

24 August 2011 in Journal of Intelligent & Robotic Systems
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Journal Article
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DSDaniel Santamaría
Daniel Santamaría
FAFrancisco Alarcon
Francisco Alarcon
AJAntonio Jiménez
Antonio Jiménez
AVAntidio Viguria
Antidio Viguria
MBManuel Béjar
Manuel Béjar
AOAníbal Ollero
Aníbal Ollero

28 July 2022 in Drones
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Journal Article
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Margarita Mulero-PázmányMargarita Mulero-Pázmány
Margarita Mulero-Pázmány
RMRamiro Martinez
Ramiro Martinez
APAna G. Popa-Lisseanu
Ana G. Popa-Lisseanu
RGRussell J. Gray
Russell J. Gray
FAFrancisco Alarcon
Francisco Alarcon
PMPedro J. Marrón
Pedro J. Marrón
Most current insect research techniques are ground-based and provide scarce information about flying insects in the planetary boundary layer (PBL), which remains a poorly studied ecological niche. To address this gap, we developed a new insect-sampling method consisting of a fixed-wing drone platform with net traps attached to the fuselage, a mobile design that has optimal aerodynamic characteristics for insect capture in the PBL. We tested the proposed device on 16 flights in Doñana National Park (Spain) with two different trap designs fitted on the fuselage nose and wing. We collected 34 insect specimens belonging to four orders with a representation of twelve families at mean altitudes below 23 m above ground level and sampling altitudes between 9 and 365 m. This drone insect-sampling design constitutes a low-cost and low-impact method for insect monitoring in the PBL, especially in combination with other remote sensing technologies that directly quantify aerial insect abundance but do not provide taxonomic information, opening interesting possibilities for ecology and entomological research, with the possibility of transfer to economically important sectors, such as agriculture and health.

1 January 2014
Verified
Book Chapter
Closed access
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CSChia-Yen Shih
Chia-Yen Shih
JCJesús Capitán
Jesús Capitán
PMPedro José Marrón
Pedro José Marrón
AVAntidio Viguria
Antidio Viguria
FAFrancisco Alarcon
Francisco Alarcon
AOAnibal Ollero
Anibal Ollero