Result Details
Tactical Scenario Adaptation for Pilot Training
Novák Jiří, Ing., Ph.D., DCGM (FIT)
Chudý Peter, doc. Ing., Ph.D., MBA, DCGM (FIT)
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.
Agent, Beyond Visual Range, Computer Generated Forces, Flight Dynamics, Tactical Simulation, Polynomial Chaos Expansion, Pilot Training, Surrogate Modeling, Synthetic Training.
@inproceedings{BUT189230,
author="Jiří {Hanák} and Jiří {Novák} and Peter {Chudý}",
title="Tactical Scenario Adaptation for Pilot Training",
booktitle="AIAA/IEEE Digital Avionics Systems Conference - Proceedings",
year="2024",
journal="IEEE/AIAA ... Digital Avionics Systems Conference",
volume="43",
number="9",
pages="1--7",
publisher="Institute of Electrical and Electronics Engineers",
address="San Diego",
doi="10.1109/DASC62030.2024.10749015",
isbn="979-8-3503-4961-0",
issn="2155-7195",
url="https://ieeexplore.ieee.org/document/10749015"
}