基于边缘智能的沉浸式元宇宙关键技术与展望  

Edge-intelligence-based immersive metaverse:key technologies and prospects

作　　者：王智 夏树涛 毛睿[2] WANG Zhi;XIA Shutao;MAO Rui(Tsinghua Shenzhen International Graduate School,Shenzhen 518055,China;Shenzhen University,Shenzhen 618060,China)

机构地区：[1]清华大学深圳国际研究生院,广东深圳518055 [2]深圳大学,广东深圳518060

出　　处：《大数据》2024年第1期35-45,共11页Big Data Research

基　　金：深圳市科技计划资助项目(No.JCYJ20220818101014030)。

摘　　要：近年来,360度视频、增强现实、虚拟现实等应用蓬勃发展,并逐渐形成元宇宙沉浸式体验新模式。这些新服务和应用具有高保真、沉浸式交互等共同特征。而作为一种新兴架构范式,边缘计算有效支持了这些需求。阐述释放边缘计算潜力支持沉浸式元宇宙体验的关键,包括AI驱动的内容生成;提出一种精度与延迟感知的模型推理框架,实现自适应深度学习模型部署和数据流推理,支撑用户体验感知的元宇宙服务与应用。In recent years,applications such as 360 video,augmented reality,virtual reality,etc.have been rapidly developed and gradually formed a new mode of immersive metaverse experience.These new services and applications have common features such as high fidelity and immersive interaction.As a new paradigm,edge computing is increasingly ready to support these features.This paper firstly elucidates that the key to releasing the power of edge computing to support immersive metaverse experience is the processing of AI models and data for content generation.Then,this paper presents a generic framework to realize adaptive deep learning model deployment and data flow to support metaverse services and applications.

关 键 词：边缘计算 人工智能 元宇宙 沉浸式体验 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]