A Reality Check of Positioning in Multiuser Mobile Augmented Reality: Measurement and Analysis
A Reality Check of Positioning in Multiuser Mobile Augmented Reality: Measurement and Analysis
复制标题
多用户移动增强现实中定位的现实检查：测量和分析
DOI：
10.1145/3551626.3564966
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Chen, Songqing
中科院分区：
文献类型：
--
作者：
Wang, Na;Wang, Haoliang;Petrangeli, Stefano;Swaminathan, Viswanathan;Li, Fei;Chen, Songqing
多用户增强现实（MuAR）对于实现Metaverse的愿景至关重要。随着移动的设备的普及，MuAR使多个设备能够共享共同的AR体验。在这种体验中，节点的位置对于理解节点的意图和行为以实现AR中的平滑交互至关重要。这样的空间意识要求对MuAR提出了新的挑战。传统上，在为单个用户设计的AR体验中，采用SLAM算法来计算自身位置。然而，计算的位置不能直接用于计算MuAR中对等设备的相对位置，因为它们是相对于与参与设备相关联的独立坐标系计算的。为了填补这一差距，业界最近提出借助内置超宽带（UWB）芯片来实现对等点跟踪。在这项工作中，我们的目标是执行一个现实的检查建议的支持，附近的互动（NI）框架开发的iOS移动的设备作为一个例子。我们研究的目标是深入了解拟议支持的可靠性，并确定潜在的问题。通过大量的测量，我们发现对等跟踪解决方案在可用性和准确性方面有时并不可靠。此外，对于错误的位置报告，我们提出了定量分析，总结了错误类型（例如，暂时性错误和永久性错误），并揭示其潜在原因。我们相信，初步的研究结果可以帮助提高空间意识和增强用户体验的MuAR。
Multiuser Augmented Reality (MuAR) is essential to implementing the vision of Metaverse. With the pervasive mobile devices, MuAR enables multiple devices to share a common AR experience. In such experiences, the peer positions are critical to understand peers' intentions and actions so as to achieve the smooth interaction in AR. Such a spacial awareness requirement poses new challenges to MuAR. Traditionally, in AR experiences designed for the single user, the SLAM algorithm is adopted to compute self positions. However, the computed positions cannot be directly used to compute the relative positions of peer devices in MuAR, because they are computed with respect to independent coordinate systems associated with participating devices. To fill in the gap, the industry has recently proposed to implement peer tracking with the help of built-in Ultra Wideband (UWB) chip. In this work, we aim to perform a reality check on the proposed support, with the Nearby Interaction (NI) framework developed for iOS mobile devices as an example. The goal of our study is to gain an in-depth understanding about the reliability of the proposed support and identify potential issues. Through extensive measurements, we discover the peer tracking solution is not reliable sometimes, in terms of availability and accuracy. Furthermore, with regard to erroneous position reports, we present a quantitative analysis, summarizing the error types (e.g., transient errors and permanent errors) and revealing their underlying reasons. We believe the preliminary findings could help to improve the spacial awareness and enhance user experiences in MuAR.
教师对移动增强现实的看法：元宇宙的学习潜力
DOI：
--
发表时间：
2019
期刊：
影响因子：
--
作者：
K. MacCallum
通讯作者：
K. MacCallum
元宇宙
DOI：
--
发表时间：
2022
期刊：
影响因子：
--
作者：
M. Zuckerberg;Satya Nadella
通讯作者：
Satya Nadella