Publication Details

Tactical Scenario Adaptation for Pilot Training

HANÁK Jiří, NOVÁK Jiří and CHUDÝ Peter. Tactical Scenario Adaptation for Pilot Training. In: AIAA/IEEE Digital Avionics Systems Conference - Proceedings. San Diego: Institute of Electrical and Electronics Engineers, 2024, pp. 1-7. ISBN 979-8-3503-4961-0.
Czech title
Adaptace taktických scénářů pro výcvik pilota
Type
conference paper
Language
english
Authors
Keywords

Agent, Beyond Visual Range, Computer Generated Forces, Flight Dynamics, Tactical Simulation, Polynomial Chaos Expansion, Pilot Training, Surrogate Modeling, Synthetic Training.

Abstract

Conducting tactical pilot training in an authentic simulation environment increases training's efficiency and effectiveness. A state-of-the-art surrogate modeling technique, Polynomial Chaos Expansion (PCE), was used to generate Surrogate model that estimates the scenario outcome. Subsequently additional scenarios are generated based on the trained pilot's skill level estimated from the model. The scenarios were adapted based on geometric distribution of the adversaries impacting the encountered tactical situation. With an emphasis on increasing the realism of synthetic training, the scenario adaptation was researched and evaluated at the ground-based synthetic simulation facility at the Faculty of Information Technology, Brno University of Technology. 

Published
2024
Pages
1-7
Proceedings
AIAA/IEEE Digital Avionics Systems Conference - Proceedings
Conference
2024 IEEE/AIAA 43rd Digital Avionics Systems Conference (DASC), San Diego, US
ISBN
979-8-3503-4961-0
Publisher
Institute of Electrical and Electronics Engineers
Place
San Diego, US
DOI
BibTeX
@INPROCEEDINGS{FITPUB13187,
   author = "Ji\v{r}\'{i} Han\'{a}k and Ji\v{r}\'{i} Nov\'{a}k and Peter Chud\'{y}",
   title = "Tactical Scenario Adaptation for Pilot Training",
   pages = "1--7",
   booktitle = "AIAA/IEEE Digital Avionics Systems Conference - Proceedings",
   year = 2024,
   location = "San Diego, US",
   publisher = "Institute of Electrical and Electronics Engineers",
   ISBN = "979-8-3503-4961-0",
   doi = "10.1109/DASC62030.2024.10749015",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/13187"
}
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