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    XR기반 합성훈련환경을 위한 핵심 기술 및 도구 식별을 통한 구축 Layer = Layered Structure for Building XR-Based Synthetic Training Environments through Identification of Core Technologies and Tools

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    XR-based synthetic training environments are gaining significant attention as they overcome the limitations of traditional training methods and offer more efficient and realistic training experiences. Particularly in the defense, medical, and industrial safety sectors, the integrated application of core technologies such as Digital Twin, Edge Computing, 5G/6G communication, Artificial Intelligence, and haptic technology, combined with authoring tools like Unity3D and Unreal Engine and standard APIs like OpenXR, enables the construction of advanced training systems. This paper introduces domestic and international case studies of XR-based synthetic training environment development. Based on the identification of key technologies and tools, it proposes a hierarchical configuration concept for establishing XR-based synthetic training environments.
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    XR-based synthetic training environments are gaining significant attention as they overcome the limitations of traditional training methods and offer more efficient and realistic training experiences. Particularly in the defense, medical, and industri...

    XR-based synthetic training environments are gaining significant attention as they overcome the limitations of traditional training methods and offer more efficient and realistic training experiences. Particularly in the defense, medical, and industrial safety sectors, the integrated application of core technologies such as Digital Twin, Edge Computing, 5G/6G communication, Artificial Intelligence, and haptic technology, combined with authoring tools like Unity3D and Unreal Engine and standard APIs like OpenXR, enables the construction of advanced training systems. This paper introduces domestic and international case studies of XR-based synthetic training environment development. Based on the identification of key technologies and tools, it proposes a hierarchical configuration concept for establishing XR-based synthetic training environments.

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