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Recreating Virtual Environments from User Traffic Pattern

机译:从用户流量模式重新创建虚拟环境

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Virtual and Augmented Reality applications need a detailed model of the surrounding environment as well as their own location within it to provide users with immersive, interactive experiences. However, current techniques to build such models are often time-consuming, and require manual correction as the area they represent changes and evolves. As the model of the environment is often completed before the application put into use, it is unable to benefit from new information detected by the location's tracking sensors. This paper proposes a solution that utilizes aggregate position data from an area to develop that space's walkable mesh model. Participant locations were measured from Bluetooth Low Energy beacons via mobile devices, and that data set was then grouped together and filtered to produce an estimation of the total environment in the form of a two dimensional navigation mesh. The experiments produced several meshes that conformed to the walkable pathways of distinct layouts in an academic building.
机译:虚拟和增强的现实应用需要周围环境的详细型号以及他们自己的位置,为用户提供沉浸式互动体验。然而,用于构建这种模型的当前技术通常是耗时的,并且需要手动校正作为它们代表变化和演变的区域。由于环境模型通常在应用程序投入使用之前完成,因此无法受益于所在地点的跟踪传感器检测到的新信息。本文提出了一种利用来自一个区域的聚合位置数据来开发那种空间的可行性网格模型的解决方案。通过移动设备从蓝牙低能量信标测量参与者位置,然后将数据集分组并过滤以产生两维导航网格形式的总环境的估计。实验产生了几种啮合,符合学术建筑中不同布局的可行性途径。

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