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Tactical Scenario Adaptation for Pilot Training

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU151848" target="_blank" >RIV/00216305:26230/24:PU151848 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10749015" target="_blank" >https://ieeexplore.ieee.org/document/10749015</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/DASC62030.2024.10749015" target="_blank" >10.1109/DASC62030.2024.10749015</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tactical Scenario Adaptation for Pilot Training

  • Original language description

    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. 

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    AIAA/IEEE Digital Avionics Systems Conference - Proceedings

  • ISBN

    979-8-3503-4961-0

  • ISSN

    2155-7195

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1-7

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    San Diego

  • Event location

    San Diego

  • Event date

    Sep 29, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article