Computer Science > Human-Computer Interaction
[Submitted on 24 Jul 2023 (v1), last revised 2 May 2024 (this version, v4)]
Title:XRLoc: Accurate UWB Localization to Realize XR Deployments
View PDF HTML (experimental)Abstract:Understanding the location of ultra-wideband (UWB) tag-attached objects and people in the real world is vital to enabling a smooth cyber-physical transition. However, most UWB localization systems today require multiple anchors in the environment, which can be very cumbersome to set up. In this work, we develop XRLoc, providing an accuracy of a few centimeters in many real-world scenarios. This paper will delineate the key ideas which allow us to overcome the fundamental restrictions that plague a single anchor point from localization of a device to within an error of a few centimeters. We deploy a VR chess game using everyday objects as a demo and find that our system achieves $2.4$ cm median accuracy and $5.3$ cm $90^\mathrm{th}$ percentile accuracy in dynamic scenarios, performing at least $8\times$ better than state-of-art localization systems. Additionally, we implement a MAC protocol to furnish these locations for over $10$ tags at update rates of $100$ Hz, with a localization latency of $\sim 1$ ms.
Submission history
From: Shunsuke Saruwatari [view email][v1] Mon, 24 Jul 2023 04:15:31 UTC (1,380 KB)
[v2] Mon, 25 Sep 2023 23:23:34 UTC (1,380 KB)
[v3] Tue, 21 Nov 2023 04:59:58 UTC (1,380 KB)
[v4] Thu, 2 May 2024 23:35:42 UTC (1,380 KB)
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