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基准测试流行移动设备上室内增强现实应用的内置跟踪系统。

Benchmarking Built-In Tracking Systems for Indoor AR Applications on Popular Mobile Devices.

机构信息

Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, P. Bucci, 87036 Rende, Italy.

3D Research s.r.l., 87036 Rende, Italy.

出版信息

Sensors (Basel). 2022 Jul 19;22(14):5382. doi: 10.3390/s22145382.

Abstract

As one of the most promising technologies for next-generation mobile platforms, Augmented Reality (AR) has the potential to radically change the way users interact with real environments enriched with various digital information. To achieve this potential, it is of fundamental importance to track and maintain accurate registration between real and computer-generated objects. Thus, it is crucially important to assess tracking capabilities. In this paper, we present a benchmark evaluation of the tracking performances of some of the most popular AR handheld devices, which can be regarded as a representative set of devices for sale in the global market. In particular, eight different next-gen devices including smartphones and tablets were considered. Experiments were conducted in a laboratory by adopting an external tracking system. The experimental methodology consisted of three main stages: calibration, data acquisition, and data evaluation. The results of the experimentation showed that the selected devices, in combination with the AR SDKs, have different tracking performances depending on the covered trajectory.

摘要

作为下一代移动平台最有前途的技术之一,增强现实 (AR) 有可能从根本上改变用户与通过各种数字信息丰富的真实环境进行交互的方式。为了实现这一潜力,跟踪和保持真实和计算机生成的物体之间的精确配准是至关重要的。因此,评估跟踪能力至关重要。在本文中,我们对一些最受欢迎的 AR 手持设备的跟踪性能进行了基准评估,这些设备可以被视为全球市场上销售的具有代表性的设备集。特别是,我们考虑了包括智能手机和平板电脑在内的八种不同的下一代设备。实验是在一个采用外部跟踪系统的实验室中进行的。实验方法学包括三个主要阶段:校准、数据采集和数据评估。实验结果表明,所选设备与 AR SDK 结合使用,根据覆盖的轨迹,具有不同的跟踪性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bf2/9320911/418ac7fc495e/sensors-22-05382-g001.jpg

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