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首页> 外文会议>SPIE Conference on Head- and Helmet-Mounted Displays >Measurement and Reduction of System Latency in See-Through Helmet Mounted Display (HMD) Systems
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Measurement and Reduction of System Latency in See-Through Helmet Mounted Display (HMD) Systems

机译：透视头盔安装显示器（HMD）系统中的系统延迟测量和减少

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Future military aviation platforms such as the proposed Joint Strike Fighter F-35 will integrate helmet mounted displays (HMDs) with the avionics and weapon systems to the degree that the HMDs will become the aircraft's primary display system. In turn, training of pilot flight skills using HMDs will be essential in future training systems. In order to train these skills using simulation based training, improvements must be made in the integration of HMDs with out-the-window (OTW) simulations. Currently, problems such as latency contribute to the onset of simulator sickness and provide distractions during training with HMD simulator systems that degrade the training experience. Previous research has used Kalman predictive filters as a means of mitigating the system latency present in these systems. While this approach has yielded some success, more work is needed to develop innovative and improved strategies that reduce system latency as well as to include data collected from the user perspective as a measured variable during test and evaluation of latency reduction strategies. The purpose of this paper is twofold. First, the paper describes a new method to measure and assess system latency from the user perspective. Second, the paper describes use of the testbed to examine the efficacy of an innovative strategy that combines a customized Kalman filter with a neural network approach to mitigate system latency. Results indicate that the combined approach reduced system latency significantly when compared to baseline data and the traditional Kalman filter. Reduced latency errors should mitigate the onset of simulator sickness and ease simulator sickness symptomology. Implications for training systems will be discussed.
机译：未来的军用航空平台如拟议的联合罢工战斗机F-35将与航空电子设备和武器系统集成头盔安装的显示器（HMDS），以至于HMDS将成为飞机的主要显示系统的程度。反过来，使用HMDS的飞行员飞行技能培训将在未来的培训系统中至关重要。为了使用基于模拟的培训培训这些技能，必须在与窗口（OTW）模拟中集成HMDS的改进。目前，潜伏期等问题有助于模拟器疾病的发作，并在使用HMD模拟器系统培训期间提供分心，这些系统降低培训体验。以前的研究使用了卡尔曼预测过滤器作为减轻这些系统中存在的系统延迟的手段。虽然这种方法已经取得了一些成功，但需要更多的工作来制定创新和改进的策略，从而减少系统延迟的策略以及在测试和评估等待时间降低策略期间将从用户视角收集的数据作为测量变量。本文的目的是双重的。首先，本文介绍了一种从用户透视图测量和评估系统延迟的新方法。其次，本文描述了测试平台的使用，以检查创新策略的功效，这些策略将定制的卡尔曼滤波器与神经网络方法缓解系统延迟。结果表明，与基线数据和传统的卡尔曼滤波器相比，组合方法显着减少了系统延迟。减少延迟误差应减轻模拟器疾病的开始，缓解模拟器疾病症状。将讨论对培训系统的影响。

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