增强现实技术在行人导航中的应用综述

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Yu Zhao, Holly Gagnon, Jeanine Stefanucci, Sarah Creem-Regehr, Bobby Bodenheimer
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引用次数: 0

摘要

增强现实(AR)中的空间计算将数字信息覆盖到用户的视野或直接的物理空间中,增强了我们与周围环境的互动方式。它有望用于行人导航,无论是安全关键还是需要多任务和实时空间信息处理。我们系统地回顾了79篇文章,深入研究了AR行人导航,涵盖设备类型,跟踪方法,信息分类以及技术和人为因素的评估。我们强调了趋势和未来的研究方向,旨在指导研究人员和实践者确定适合其应用的技术和设计,并促进适应性系统和设计概念的创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Review of the Use of Augmented Reality in Pedestrian Navigation
Spatial computing in augmented reality (AR) overlays digital information into users’ view or immediate physical space, enhancing how we interact with our surroundings. It holds promise for pedestrian navigation, whether it is safety-critical or requires multi-tasking and real-time spatial information processing. Our systematic review of 79 articles delves into AR pedestrian navigation, covering device types, tracking methods, information taxonomy, and an evaluation of both technical and human factors. We highlight trends and future research directions, aiming to guide researchers and practitioners in identifying suitable techniques and designs that serve their applications and spurring innovation in adaptable systems and design concepts.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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