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IITET and Shadow TT An Innovative Approach to Training at the Point of Need

机译:IITET和Shadow TT一种在需要时进行培训的创新方法

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The Image Intensification and Thermal Equipment Training (IITET) project is a joint effort between Night Vision and Electronics Sensors Directorate (NVESD) Modeling and Simulation Division (MSD) and the Army Research Institute (ARI) Fort Benning Research Unit. The IITET effort develops a reusable and extensible training architecture that supports the Army Learning Model and trains Manned-Unmanned Teaming (MUM-T) concepts to Shadow Unmanned Aerial Systems (UAS) payload operators. The training challenge of MUM-T during aviation operations is that UAS payload operators traditionally learn few of the scout-reconnaissance skills and coordination appropriate to MUM-T at the schoolhouse. The IITET effort leveraged the simulation experience and capabilities at NVESD and ARI's research to develop a novel payload operator training approach consistent with the Army Learning Model. Based on the training and system requirements, the team researched and identified candidate capabilities in several distinct technology areas. The training capability will support a variety of training missions as well as a full campaign. Data from these missions will be captured in a fully integrated AAR capability, which will provide objective feedback to the user in near-real-time. IITET will be delivered via a combination of browser and video streaming technologies, eliminating the requirement for a client download and reducing user computer system requirements. The result is a novel UAS Payload Operator training capability, nested within an architecture capable of supporting a wide variety of training needs for air and ground tactical platforms and sensors, and potentially several other areas requiring vignette-based serious games training.
机译:图像增强和热设备培训(IITET)项目是夜视和电子传感器局(NVESD)建模与仿真部(MSD)与陆军研究所(ARI)本宁堡研究室的共同努力。 IITET的工作是开发一种可重用和可扩展的训练体系结构,以支持陆军学习模型,并向影子无人航空系统(UAS)的有效载荷操作员训练无人驾驶组合(MUM-T)概念。 MUM-T在航空运营过程中的培训挑战是,UAS有效载荷操作员传统上很少在校舍学习适合MUM-T的侦察侦察技能和协调能力。 IITET的工作利用了NVESD和ARI的研究中的模拟经验和能力,开发了一种与陆军学习模型相一致的新型有效载荷操作员训练方法。根据培训和系统要求,团队研究并确定了几个不同技术领域的候选功能。培训能力将支持各种培训任务以及全面运动。这些任务的数据将以完全集成的AAR功能进行捕获,这将近实时地向用户提供客观反馈。 IITET将通过浏览器和视频流技术的结合来交付,从而消除了客户端下载的需求并减少了用户计算机系统的需求。结果是一种新颖的UAS有效载荷操作员培训能力,嵌套在一个体系结构中,该体系结构能够满足空中和地面战术平台和传感器以及可能需要基于小插图的严肃游戏培训的其他多个领域的广泛培训需求。

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