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A Survey of the Real-Time Metaverse: Challenges and Opportunities

Authors :
Mohsen Hatami
Qian Qu
Yu Chen
Hisham Kholidy
Erik Blasch
Erika Ardiles-Cruz
Source :
Future Internet, Vol 16, Iss 10, p 379 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The metaverse concept has been evolving from static, pre-rendered virtual environments to a new frontier: the real-time metaverse. This survey paper explores the emerging field of real-time metaverse technologies, which enable the continuous integration of dynamic, real-world data into immersive virtual environments. We examine the key technologies driving this evolution, including advanced sensor systems (LiDAR, radar, cameras), artificial intelligence (AI) models for data interpretation, fast data fusion algorithms, and edge computing with 5G networks for low-latency data transmission. This paper reveals how these technologies are orchestrated to achieve near-instantaneous synchronization between physical and virtual worlds, a defining characteristic that distinguishes the real-time metaverse from its traditional counterparts. The survey provides a comprehensive insight into the technical challenges and discusses solutions to realize responsive dynamic virtual environments. The potential applications and impact of real-time metaverse technologies across various fields are considered, including live entertainment, remote collaboration, dynamic simulations, and urban planning with digital twins. By synthesizing current research and identifying future directions, this survey provides a foundation for understanding and advancing the rapidly evolving landscape of real-time metaverse technologies, contributing to the growing body of knowledge on immersive digital experiences and setting the stage for further innovations in the Metaverse transformative field.

Details

Language :
English
ISSN :
16100379 and 19995903
Volume :
16
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Future Internet
Publication Type :
Academic Journal
Accession number :
edsdoj.219d411b48c499fb0df7e4831dd7f23
Document Type :
article
Full Text :
https://doi.org/10.3390/fi16100379