Virtual Reality Training Apprenticeships (VRTAs) can effectively teach complex manufacturing processes like cold spray, leading to positive user experiences and demonstrable real-world task transfer, but further research is needed to address challenges related to physical realism and intuitive interactions in VR.
モバイル拡張現実(AR)アプリケーションにおいて、リアルタイムで高品質な環境光推定を実現するために、AR環境のコンテキストデータと生成AIモデルを活用した新しいシステム「CleAR」を提案する。
CleAR is a novel system leveraging generative AI and contextual data to enhance lighting estimation in mobile AR, resulting in more realistic and immersive user experiences.
본 논문에서는 SOLAS 규정을 준수하는 선박 화재 비상 훈련을 위한 게임 기반 VR 애플리케이션을 개발하고, 사용자 평가를 통해 훈련 효과를 검증하여 산업 메타버스에서의 활용 가능성을 제시합니다.
LoDAvatar improves the rendering efficiency of high-quality dynamic Gaussian avatars in VR by introducing levels of detail through hierarchical embedding and selective detail enhancement, striking a balance between visual fidelity and computational cost.
VizCom-AR, a novel augmented reality system, significantly improves communication and situational awareness between remote and on-site operators during UAV-driven search and rescue missions, outperforming traditional radio communication in terms of efficiency and effectiveness.