Underwater Frogman Situational Awareness and AR Helmet Display and Control System

Yanping Hu, Lihua Gui, Ye Wang
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引用次数: 1

Abstract

When frogmen perform underwater tasks, the visibility and permeability of the surrounding environment are poor due to the influence of slit, sewage and sediment, and the visual distance is only about 3-5 meters. However, integrating multi-beam imaging sonar on the top of frogman's helmet and displaying real-time sonar image information through AR glasses can expand frogman's "field of view" to 100 meters. This system satisfies the big view field of target monitoring and searching and the small view field of target recognition and tracking, thus greatly improving frogman's underwater situational awareness ability. Helmet display system, as a typical application of AR technology, has been widely used in F35 fighter plane and BMW motorcycle. However, due to the limited display area, low underwater visibility and difficult interaction, there is no helmet display system suitable for underwater Frogman. To this end, we design and implement a monocular silicon-based perspective VR visualization system for underwater frogman, which breaks through a series of key technologies that sonar, camera and underwater environment information multi-source data fusion, multi-window adaptive layout technology, sonar image real-time visualization technology and camera image real-time visualization technology, and realizes multi-source information integration and VR panoramic visualization for underwater frogman operation.
水下蛙人态势感知和AR头盔显示与控制系统
蛙人在水下执行任务时,受狭缝、污水、泥沙等影响,周围环境的能见度和透气性较差,可视距离只有3-5米左右。然而,在蛙人头盔顶部集成多波束成像声纳,并通过AR眼镜显示实时声纳图像信息,可以将蛙人的“视野”扩展到100米。该系统满足了目标监测与搜索的大视场和目标识别与跟踪的小视场,从而大大提高了蛙人的水下态势感知能力。头盔显示系统作为AR技术的典型应用,已广泛应用于F35战斗机和宝马摩托车上。然而,由于显示面积有限、水下能见度低、交互困难等问题,目前还没有适合水下蛙人的头盔显示系统。为此,我们设计并实现了水下蛙人单目硅基透视VR可视化系统,突破了声纳、摄像机和水下环境信息多源数据融合、多窗口自适应布局技术、声纳图像实时可视化技术和摄像机图像实时可视化技术等一系列关键技术。实现水下蛙人作业的多源信息集成和VR全景可视化。
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