Offloading Visual-Inertial Odometry for Low Power Extended Reality

Power consumption is a constraint in designing all-day wear extended reality (XR) devices. To reduce power consumption, we present a novel end-to-end XR system with visual-inertial odometry (VIO) offloaded to a remote server. Even with long network latency, the system produces an end-to-end XR exper...

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Bibliographic Details
Published in2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) pp. 793 - 794
Main Authors Jiang, Qinjun, Huzaifa, Muhammad, Sentosa, William, Zhang, Jeffrey, Gao, Steven, Pang, Yihan, Godfrey, Brighten, Adve, Sarita
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2023
Subjects
Cloud Computing
Conferences
Extended reality
Human-centered computing-Virtual reality-Human-centered computing-Mixed/augmented reality
Power demand
Servers
Three-dimensional displays
User interfaces
VR/AR
Wireless Network
X reality
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Summary:Power consumption is a constraint in designing all-day wear extended reality (XR) devices. To reduce power consumption, we present a novel end-to-end XR system with visual-inertial odometry (VIO) offloaded to a remote server. Even with long network latency, the system produces an end-to-end XR experience comparable to a system without offloading while providing significant power savings. This latency and bandwidth-resilient nature of head tracking is a new and surprising result.
DOI:10.1109/VRW58643.2023.00239