FMS for Unmanned Aerial Systems: HMI Issues and New Interface Solutions

Damilano, Luca; Guglieri, Giorgio; Quagliotti, Fulvia; Sale, I.

doi:10.1007/s10846-011-9567-3

Cited by 5 publications

(1 citation statement)

References 5 publications

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“…Assisting the pilot in this process is key, since pilot's reaction time in case of an adverse event is a safety-critical parameter [175]. This is even more important in modern aircraft operating with a high degree of automation because, in these cases, pilots often play a supervisory role that has been credited to reduce their situational awareness [33,137,175]. Recovering the situational awareness after a pilot's distraction is difficult, all the more in the event of a contingency.…”

Section: Glossarymentioning

confidence: 99%

Automated Contingency Management in Unmanned Aircraft Systems

Molina¹

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Technological development and scientific research are steadily enabling higher levels of automation in the global industry. In the aerospace sector, the operation of Unmanned Aircraft System (UAS) is a clear example. Given the huge potential of the UAS market, Civil Aviation Authorities are elaborating a new regulatory framework for the safe integration of UAS into the civil airspace. The general goal is ensuring that the operation of UAS has an Equivalent Level of Safety (ELOS) to that of manned aviation. To meet the previous goal, this thesis advocates for increasing the level of automation of UAS operations by providing the automatic system on-board the aircraft with Automated Contingency Management (ACM) functions. ACM functions are designed to assist the pilot-in-command in case a contingency, and ultimately to fully replace the pilot if this is required by the situation (e.g. due to a Command and Control (C2) link loss) or if the pilot decides so. However, in order for automation to be safe, automated functions must be developed following safe design methodologies based on aerospace standards. Agraïments Vull agrair la col•laboració de totes aquelles persones i institucions que han fet possible la realització d'aquesta tesi: En primer lloc, vull fer constar que aquesta tesi ha estat co-financiada pel Fons Social Europeu 2014-2020 i pel programa VALI+d de la Generalitat Valenciana (expedient número ACIF/2016/197). De forma molt especial, vull agrair a Joan Vila la seua dedicació al llarg de tots aquests anys. El seu recolçament i la seua tasca de direcció han estat fonamentals per dur a terme aquest treball. També vull agrair a tots els membres del Department of Unmanned Aircraft del German Aerospace Center-Institute of Flight Systems la seua acollida durant la meua estada a Braunschweig; i en especial a Jörg Dittrich, director del departament; Florian Adolf, supervisor de la estada; i Christoph Torens, per la seua inestimable ajuda. Finalment, vull agrair a la meua familia el seu suport i afecte (tot i el meu geni durant la recta final!): als meus pares, el millor exemple; a Pau i Ana, pels seus consells i comprensió; a Marc, el més bonic; i a Irene, que val el cel.

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Section: Glossarymentioning

confidence: 99%

Automated Contingency Management in Unmanned Aircraft Systems

Molina¹

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Standardization of Human-Computer-Interface for Geo-Fencing in Small Unmanned Aircraft Systems

Thirtyacre¹,

Brents²,

Goldfein³

et al. 2016

Advances in Intelligent Systems and Computing

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Ground Control Station Embedded Mission Planning for UAS

Damilano

Guglieri

Quagliotti

et al. 2012

J Intell Robot Syst

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As the Unmanned Aerial System (UAS) Level Of Automation increases, Mission Planning relevance raises. A mission plan can be defined as all the information needed to reach the assigned goals, and it is composed by several sub-plans. In particular, the mission plan core is represented by the routes. Since the route creation process is very complex, the introduction of route creation and verification algorithms is required. These algorithms enhance also the crew replan performances during the mission execution, and permit to implement autonomous onboard replanning. Furthermore, Planning/replanning processes could also have a key role in the integration of UAS in the civil airspace. According to these considerations, a Mission Planner embedded in the Alenia Aermacchi UAS Ground Control Station has been developed, comprised of advanced planning algorithms. kts Knots LAT Latitude LOA Level Of Automation LON Longitude LOS Line Of Sight MALE Medium Altitude Long Endurance NAS National Airspace System NAVAID Navigational Aids RF Radial to Fix RTI Run Time Input SAR Synthetic Aperture Radar SATCOM Satellite Communications SESAR Single European Sky ATM Research

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FMS for Unmanned Aerial Systems: HMI Issues and New Interface Solutions

Cited by 5 publications

References 5 publications

Automated Contingency Management in Unmanned Aircraft Systems

Automated Contingency Management in Unmanned Aircraft Systems

Standardization of Human-Computer-Interface for Geo-Fencing in Small Unmanned Aircraft Systems

Ground Control Station Embedded Mission Planning for UAS

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