ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems
La recerca del grup Icarus se centra en l'àmbit dels vehicles aeris no tripulats, també anomenats UAVs (Unmanned Aerial Vehicles). Com el seu nom indica aquests aparells no disposen d'un pilot humà a bord. L'objectiu del grup és investigar tecnologies que permetin desenvolupar UAVs de baix cost amb capacitat per realitzar missions de caràcter civil de forma totalment autònoma per tal que puguin actuar en situacions crítiques, D-cub situations (Dull,Dirty,Dangerous).
Collections in this community
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Articles de revista [100]
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Presentacions [1]
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Reports de recerca [27]
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Ressenyes [1]
Recent Submissions
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The Small Mars System
(2017-08)
Article
Open AccessThe Small Mars System is a proposed mission to Mars. Funded by the European Space Agency, the project has successfully completed Phase 0. The contractor is ALI S.c.a.r.l., and the study team includes the University of ... -
Countering a drone in a 3D space: Analyzing deep reinforcement learning methods
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-16)
Article
Open AccessUnmanned aerial vehicles (UAV), also known as drones have been used for a variety of reasons and the commercial drone market growth is expected to reach remarkable levels in the near future. However, some drone users can ... -
An automatic tree search algorithm for the Tisserand graph
(Elsevier, 2021-02)
Article
Open AccessThe Tisserand graph (TG) is a graphical tool commonly employed in the preliminary design of gravity-assisted trajectories. The TG is a two-dimensional map showing essential orbital information regarding the Keplerian orbits ... -
URClearED – Defining the remain well clear concept for airspace D-G classes in the European airspace
(American Institute of Aeronautics and Astronautics (AIAA), 2021)
Conference lecture
Restricted access - publisher's policyRemotely Piloted Aircraft Systems (RPAS) are increasingly becoming a part of our day-to-day life, and the wide range of their possible applications is creating a new industry with a large economic potential that is pushing ... -
On the impact of guidance commands mismatch in IMM-Based guidance modes identification for aircraft trajectory prediction
(2022)
Conference report
Open AccessThis study presents a sensitivity analysis to model mismatch of an interacting multiple model (IMM) filter when used for aircraft guidance modes identification. The mismatch appears in the guidance command parameters ... -
An Automated Emergency Airport and Off-Airport Landing Site Selector
(2022)
Conference report
Open AccessWe present a novel landing site selector capable of selecting suitable landing sites (airport and off-airport) for emergency landings. In a first step, information from several databases which includes, for instance, ... -
Image-based multi-agent reinforcement learning for demand–capacity balancing
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-10-14)
Article
Open AccessAir traffic flow management (ATFM) is of crucial importance to the European Air Traffic Control System due to two factors: first, the impact of ATFM, including safety implications on ATC operations; second, the possible ... -
On the use of ensemble averaging techniques to accelerate the Uncertainty Quantification of CFD predictions in wind engineering
(2022-09)
Article
Open AccessIn this work we focus on reducing the wall clock time required to compute statistical estimators of highly chaotic incompressible flows on high performance computing systems. Our approach consists of replacing a single ... -
Vulnerable road users and connected autonomous vehicles interaction: a survey
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-06-18)
Article
Open AccessThere is a group of users within the vehicular traffic ecosystem known as Vulnerable Road Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other hand, connected autonomous vehicles ... -
Probabilistic trajectory generation using uncertainty propagation model
(2021-06-09)
Research report
Open AccessThis document establishes the basis for the work to be developed within Work Package 2 of the START project. The objective of this Work Package is to build a methodology that could allow for the obtainment of the probabilistic ... -
Predict ATFCM weather regulations using a time-distributed recurrent neural network
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Restricted access - publisher's policyIn recent years, prior to COVID-19, capacity shortfalls in airspace and airports inevitably caused an increase in aircraft delays. Therefore, when it returns to normal conditions, the airspace will exhibit the same capacity ... -
Data-driven methodology for uncertainty quantification of aircraft trajectory predictions
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessThis work present a framework based on datadriven techniques for quantifying and chaos theory for propagating the uncertainty present in the aircraft trajectory prediction process when computing the expected trajectory ...
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