Development and Implementation of an Augmented Reality Thunderstorm Simulation for General Aviation Weather Theory Training

IF 0.6 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Journal of Imaging Science and Technology Pub Date : 2023-11-01 DOI:10.2352/j.imagingsci.technol.2023.67.6.060402

Kexin Wang, Jack Miller, Philippe Meister, Michael C. Dorneich, Lori Brown, Geoff Whitehurst, E. Winer

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引用次数: 0

Abstract

. In 2021, there were 1,157 general aviation (GA) accidents, 210 of them fatal, making GA the deadliest civil aviation category. Research shows that accidents are partially caused by ineffective weather theory training. Current weather training in classrooms relies on 2D materials that students often ﬁnd difﬁcult to map into a real 3D environment. To address these issues, Augmented Reality (AR) was utilized to provide 3D immersive content while running on commodity devices. However, mobile devices have limitations in rendering, camera tracking, and screen size. These limitations make the implementation of mobile device based AR especially challenging for complex visualization of weather phenomena. This paper presents research on how to address the technical challenges of developing and implementing a complex thunderstorm visualization in a marker-based mobile AR application. The development of the system and a technological evaluation of the application’s rendering and tracking performance across different devices is presented.

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开发和实施用于通用航空气象理论培训的增强现实雷暴模拟器

.2021 年，共发生 1,157 起通用航空（GA）事故，其中 210 起为致命事故，使通用航空成为死亡人数最多的民用航空类别。研究表明，事故的部分原因是气象理论培训效果不佳。目前课堂上的气象培训依赖于二维材料，学生往往难以将其映射到真实的三维环境中。为了解决这些问题，我们利用增强现实技术（AR）在商品设备上运行，提供身临其境的三维内容。然而，移动设备在渲染、摄像头跟踪和屏幕尺寸方面存在限制。这些限制使得基于移动设备的增强现实技术的实施对于复杂的天气现象可视化尤其具有挑战性。本文介绍了如何解决在基于标记的移动 AR 应用程序中开发和实施复杂雷暴可视化所面临的技术挑战。本文介绍了该系统的开发过程，以及对该应用在不同设备上的渲染和跟踪性能进行的技术评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Imaging Science and Technology 工程技术-成像科学与照相技术

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.