@inproceedings{fa07caf4820b49f4b5add7414c0d73c5,
title = "Poster: AutoCalNet - Continous Real-Time Calibration of Networked Mobile Volumetric Cameras",
abstract = "AutoCalNet enables continuous real-time calibration of mobile 3D cameras by decoupling calibration from content streaming. It leverages a scalable device-edge-cloud network to minimize bandwidth, manage latency, and maintain high precision in calibration data, prioritizing trackable regions and feature points that will facilitate spatiotemporal tracking. This approach provides a flexible, efficient solution for networked camera systems without being constrained by content-specific requirements.",
keywords = "5G MEC, Latency management, Mobile 3D cameras, Networked camera systems, Real-time calibration, Spatial computing",
author = "Flemming Laursen and Krutik Pandya and Gael Melo and Jason Lobo and Detim Zhao and Lauren Gold and Robert LiKamWa",
note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 26th International Workshop on Mobile Computing Systems and Applications, HOTMOBILE 2025 ; Conference date: 26-02-2025 Through 27-02-2025",
year = "2025",
month = feb,
day = "26",
doi = "10.1145/3708468.3715685",
language = "English (US)",
series = "HOTMOBILE 2025 - Proceedings of the 2025 26th International Workshop on Mobile Computing Systems and Applications",
publisher = "Association for Computing Machinery",
pages = "129",
booktitle = "HOTMOBILE 2025 - Proceedings of the 2025 26th International Workshop on Mobile Computing Systems and Applications",
address = "United States",
}