[论文解读] Spatial Computing: Concept, Applications, Challenges and Future Directions

Gokul Yenduri, M. Ramalingam+9 more|arXiv (Cornell University)|Jan 30, 2024

Data Management and Algorithms被引用 9

一句话总结

本论文对空间计算进行了全面综述，详细介绍了其使能技术、应用、相关项目、挑战与未来研究方向。

ABSTRACT

Spatial computing is a technological advancement that facilitates the seamless integration of devices into the physical environment, resulting in a more natural and intuitive digital world user experience. Spatial computing has the potential to become a significant advancement in the field of computing. From GPS and location-based services to healthcare, spatial computing technologies have influenced and improved our interactions with the digital world. The use of spatial computing in creating interactive digital environments has become increasingly popular and effective. This is explained by its increasing significance among researchers and industrial organisations, which motivated us to conduct this review. This review provides a detailed overview of spatial computing, including its enabling technologies and its impact on various applications. Projects related to spatial computing are also discussed. In this review, we also explored the potential challenges and limitations of spatial computing. Furthermore, we discuss potential solutions and future directions. Overall, this paper aims to provide a comprehensive understanding of spatial computing, its enabling technologies, their impact on various applications, emerging challenges, and potential solutions.

研究动机与目标

• 概述空间计算的概念与范围及其演变。
• 确定将数字内容整合到物理世界中的使能技术。
• 调查跨行业的应用与典型项目。
• 讨论挑战、局限性与伦理考量。
• 提出空间计算的未来研究方向与未解决问题。

提出的方法

• 对同行评议论文、会议、期刊和著作的系统文献综述。
• 使用有针对性的关键词从可信数据库（IEEE、Springer、Elsevier 等）识别空间计算文献。
• 通过题目/摘要筛选以确保来源的相关性与质量。
• 提取并综合使能技术、应用、项目、挑战与未来方向。
• 以收集到的高质量文献与报道项目为基础支撑结论。

Figure 1: Road Map of User Interfaces.

实验结果

研究问题

• RQ1 空间计算是什么，它与现代用户界面的AR、VR、XR有何关系？
• RQ2 哪些使能技术支持空间计算（AI、物联网、5G/6G、云/边缘、区块链等）？
• RQ3 空间计算的主要应用及知名项目或用例有哪些？
• RQ4 在采用空间计算时有哪些挑战、局限性与伦理考量？
• RQ5 在空间计算中提出的未来方向和未解的研究问题有哪些？

主要发现

• 2021年空间计算市场规模约为1020亿美元，预计到2032年将达到约5446亿美元。
• XR 技术（AR/VR/MR）在使能空间计算和塑造用户体验方面具有核心作用。
• 大量的使能技术（AI、计算机视觉、SLAM、物联网传感器、GPU、5G/6G、云/边缘、区块链）支撑空间计算。
• 应用涵盖教育、医疗、旅游、军事、导航、游戏、建筑、设计和电子商务等领域，讨论了相关项目和案例研究。
• 论文指出在整合、隐私、安全、可扩展性和治理方面的开放问题与未来方向。

Figure 2: Enabling Technologies of Spatial Computing.