Pilot Interface Considerations Using High Level Information Fusion

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F18%3A00535042" target="_blank" >RIV/60162694:G43__/18:00535042 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/AERO.2018.8396630" target="_blank" >http://dx.doi.org/10.1109/AERO.2018.8396630</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/AERO.2018.8396630" target="_blank" >10.1109/AERO.2018.8396630</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Pilot Interface Considerations Using High Level Information Fusion

Popis výsledku v původním jazyce

Since the development of the “Pilot's Associate” by the Defense Advanced Research Projects Agency (DARPA) for rotorcraft in the 1990s, there has been a focus on developing intelligent aviation user interfaces. A common theme extending from these efforts includes advances in data and sensor fusion. Data from sensors, when combined, is termed low-level information fusion (LLIF). The ability for a user to make sense and interact with the data is termed High-Level Information Fusion (HLIF). Safe flight requires the pilot to be able to utilize various avionics results and warnings to rapidly respond to impending situations. Context-sensitive aiding is an important element in supporting aircraft pilots in complex, dangerous, or demanding environments. In this paper, we explore an illusionary effect to foster the continued discussion on man-machine interface that can utilize HLIF developments. The application of LLIF-HLIF estimation methods are shown as methods towards assisting a pilot to recover from spatial disorientation.

Název v anglickém jazyce

Pilot Interface Considerations Using High Level Information Fusion

Popis výsledku anglicky

Since the development of the “Pilot's Associate” by the Defense Advanced Research Projects Agency (DARPA) for rotorcraft in the 1990s, there has been a focus on developing intelligent aviation user interfaces. A common theme extending from these efforts includes advances in data and sensor fusion. Data from sensors, when combined, is termed low-level information fusion (LLIF). The ability for a user to make sense and interact with the data is termed High-Level Information Fusion (HLIF). Safe flight requires the pilot to be able to utilize various avionics results and warnings to rapidly respond to impending situations. Context-sensitive aiding is an important element in supporting aircraft pilots in complex, dangerous, or demanding environments. In this paper, we explore an illusionary effect to foster the continued discussion on man-machine interface that can utilize HLIF developments. The application of LLIF-HLIF estimation methods are shown as methods towards assisting a pilot to recover from spatial disorientation.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE Aerospace Conference Proceedings

ISBN

978-1-5386-2014-4

ISSN

1095-323X

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

IEEE Computer Society

Místo vydání

Big Sky, MT, USA

Místo konání akce

Yellowstone Conference Center, Big Sky, Montana

Datum konání akce

3. 3. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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