Comparing the Accuracy and Precision of SteamVR Tracking 2.0 and Oculus Quest 2 in a Room Scale Setup
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Date
2021-03-20Type
- Conference Paper
Abstract
Real walking is the most intuitive navigation means to explore large virtual environments. For such a free walking Virtual Reality (VR) experience, large tracking spaces are required as well as dedicated motion tracking systems covering them. In the past, the coverage of large tracking spaces could only be achieved by professional-grade motion tracking systems. Recently, low-cost, consumer-grade motion tracking systems, such as SteamVR Tracking and Oculus Insight, have arisen, which also allow for room scale setups. However, the capability, limitation, and reliability of consumer-grade VR motion tracking systems is not fully understood yet. In this paper, we aim to fill the gap by comparing SteamVR Tracking and Oculus Insight in a 5×5m room-scale setup, using state of the art hardware (i.e. the Oculus Quest 2, SteamVR base stations 2.0 and High Tech Computer Corporation (HTC) Vive Trackers Version 2018). The results reveal a significantly higher accuracy for the Oculus Quest 2 compared to SteamVR Tracking in the height of a tracked object. Furthermore, the Oculus Quest 2 tracks its position with substantially higher precision than SteamVR Tracking. Based on the results, we conclude that the Oculus Quest 2 is suitable for a wide range of applications in research and industry, particularly considering its lower acquisition costs, higher mobility and easier setup compared to SteamVR Tracking. However, as this work marks an initial step, more research is needed to fully understand the capabilities and limitations through other metrics (e.g. latency) and other setups (e.g. rooms with fewer landmarks or different lighting conditions). Show more
Publication status
publishedExternal links
Book title
ICVARS 2021: 2021 the 5th International Conference on Virtual and Augmented Reality SimulationsPages / Article No.
Publisher
Association for Computing MachineryEvent
Subject
Tracking system; Inside-out tracking; Motion capture; Head-mounted displayOrganisational unit
08844 - Kunz, Andreas (Tit.-Prof.) / Kunz, Andreas (Tit.-Prof.)
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