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DARGS: Dynamic AR Guiding System for Indoor Environments

机译:DARGS:适用于室内环境的动态AR引导系统

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Complex public buildings, such as airports, use various systems to guide people to a certain destination. Such approaches are usually implemented by showing a floor plan that has guiding signs or color coded lines on the floor. With a technology that supports six degrees of freedom (6DoF) tracking in indoor environments, it is possible to guide people individually, thereby considering obstacles, path lengths, or pathways for handicapped people. With an augmented reality (AR) device, such as a smart phone or AR glasses, the path can be presented on top of the real environment. In this paper, we present DARGS, an algorithm, which calculates a path through a complex building in real time. Usual path planning algorithms use either shortest paths or dynamic paths for robot interaction. The human factor in a real environment is not considered. The main advantage of DARGS is the incorporation of the current field of view (FOV) of the used device to visualize a more dynamic presentation. Rather than searching for the AR content with a small FOV, with the presented approach the user always gets a meaningful three-dimensional overlay of the path independent of the viewing direction. A detailed user study is performed to prove the applicability of the system. The results indicate that the presented system is especially helpful in the first few important seconds of the guiding process, when the user is still disoriented.
机译:复杂的公共建筑,例如机场,使用各种系统将人们引向特定的目的地。通常通过显示在地板上具有引导标志或颜色编码线的平面图来实现这种方法。借助在室内环境中支持六自由度(6DoF)跟踪的技术,可以单独引导人,从而可以考虑障碍,路径长度或残障人士的路径。使用增强现实(AR)设备(例如智能手机或AR眼镜),可以在真实环境之上显示路径。在本文中,我们提出了DARGS算法,它可以实时计算通过复杂建筑物的路径。通常的路径规划算法使用最短路径或动态路径进行机器人交互。没有考虑实际环境中的人为因素。 DARGS的主要优点是合并了所用设备的当前视场(FOV),以可视化方式呈现出更动态的图像。与所提出的方法相比,用户不是总是以较小的FOV搜索AR内容,而是始终获得与观察方向无关的有意义的路径三维叠加。进行了详细的用户研究,以证明系统的适用性。结果表明,当用户仍然迷失方向时,所提出的系统在指导过程的前几个重要秒中特别有用。

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