@inproceedings{7e2d633f444b4d4a89ff0364e2cfcb07,
title = "Offloading Visual-Inertial Odometry for Low Power Extended Reality",
abstract = "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.",
keywords = "Cloud Computing, Human-centered computing, Human-centered computing, Mixed/augmented reality, VR/AR, Virtual reality, Wireless Network",
author = "Qinjun Jiang and Muhammad Huzaifa and William Sentosa and Jeffrey Zhang and Steven Gao and Yihan Pang and Brighten Godfrey and Sarita Adve",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 ; Conference date: 25-03-2023 Through 29-03-2023",
year = "2023",
doi = "10.1109/VRW58643.2023.00239",
language = "English (US)",
series = "Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "793--794",
booktitle = "Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023",
address = "United States",
}