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 [75]
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Presentacions [1]
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Reports de recerca [19]
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Ressenyes [1]
Recent Submissions
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U-space concept of operations: A key enabler for opening airspace to emerging low-altitude operations
(Multidisciplinary Digital Publishing Institute (MDPI), 2020-03-01)
Article
Open AccessOpening the sky to new classes of airspace user is a political and economic imperative for the European Union. Drone industries have a significant potential for economical growth according to the latest estimations. To ... -
Multiple UAV systems: a survey
(2020-04-02)
Article
Open AccessNowadays, Unmanned Aerial Vehicles (UAVs) are used in many different applications. Using systems of multiple UAVs is the next obvious step in the process of applying this technology for variety of tasks. There are few ... -
Drone navigation and avoidance of obstacles through deep reinforcement learning
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessUnmanned aerial vehicles (UAV) specifically drones have been used for surveillance, shipping and delivery, wildlife monitoring, disaster management etc. The increase on the number of drones in the airspace worldwide will ... -
The future of drones and their public acceptance
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessAny emergent technology in history has raised an initial rejection by part of the society. Added to the several problems that the non-mature technology may have, the lack of any previous experience about side effects and ... -
Estimating fuel consumption from radar tracks: a validation exercise using FDR and radar tracks from descent trajectories
(Springer, 2020-02-19)
Article
Restricted access - publisher's policyFuel consumption is one of the major considerations for both the impact of aviation in the environment and the cost of operations. This paper assesses the accuracy of a method capable of producing aircraft fuel estimates ... -
A framework for collaborative air traffic flow management minimizing costs for airspace users: Enabling trajectory options and flexible pre-tactical delay management
(2020-03-03)
Article
Restricted access - publisher's policyThis paper proposes a collaborative air traffic flow management (ATFM) framework, in the scope of trajectory based operations, aiming to improve the cost-efficiency for airspace users (AUs) when facing ATFM regulations. ... -
Using Broadcast Wind Observations to Update the Optimal Descent Trajectory in Real-Time
(2020-02)
Article
Restricted access - publisher's policyThe ability to meet a controlled time of arrival during a continuous descent operation will enable environmentally friendly and fuel-efficient descent operations while simultaneously maintaining airport throughput. However, ... -
Synchronised Demand-Capacity Balancing in Collaborative Air Traffic Flow Management
(2020-05)
Article
Open AccessThis paper introduces a novel approach for synchronised demand-capacity balancing within a proposed Collaborative Air Traffic Flow Management framework. The approach is aimed to realise optimising traffic flow and scheduling ... -
Encoder-Decoder Approach to Predict Airport Operational Runway Configuration A case study for Amsterdam Schiphol airport
(2019)
Conference lecture
Open AccessThe runway configuration of an airport is the com- bination of runways that are active for arrivals and departures at any time. The runway configuration has a major influence on the capacity of the airport, taxiing times, ... -
Improving the predictability of take-off times with Machine Learning : a case study for the Maastricht upper area control centre area of responsibility
(2019)
Conference lecture
Open AccessThe uncertainty of the take-off time is a major contribution to the loss of trajectory predictability. At present, the Estimated Take-Off Time (ETOT) for each individual flight is extracted from the Enhanced Traffic Flow ... -
Evaluation of flight efficiency for Stockholm Arlanda Airport using OpenSky Network data
(2019)
Conference report
Open AccessIdentification of causes of the delays within transition airspace is an important step in evaluating performance of the Terminal Maneuvering Area (TMA) Air Navigation Services: without knowing the current performance ... -
Deep reinforcement learning for drone delivery
(Multidisciplinary Digital Publishing Institute (MDPI), 2019-09-10)
Article
Open AccessDrones are expected to be used extensively for delivery tasks in the future. In the absence of obstacles, satellite based navigation from departure to the geo-located destination is a simple task. When obstacles are known ...
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