I-Corps: Low-Cost Holographic TelePresence System

I-Corps：低成本全息网真系统

• 批准号: 2153693
• 负责人: Tao Han
• 金额: $ 5万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2153693&HistoricalAwards=false
• 关键词: Corps; Low; Cost; Holographic; TelePresence

The broader impact/commercial potential of this I-Corps project is to commercialize a low-cost holographic telepresence system for the professional sports industry. The system can effectively improve performance and reduce the cost for the sports clubs and coaches in recruiting and training athletes from anywhere in the world. The holographic telepresence may significantly improve the efficiency of remote working and online training and spur new use cases and services improving quality of life. Through this project, the team aims to translate their fundamental research on ubiquitous machine vision systems to the market place via customer discovery. The team plans to integrate the knowledge learned from this project into their courses, senior design projects, and the mentoring of graduate students. In this way, they will cultivate next-generation engineers and researchers who can translate technologies into commercial products and help grow the economy. This I-Corps project explores the commercial potential of a low-cost holographic telepresence system. The holographic telepresence system involves core technologies from advanced wireless communications, edge computing systems, and computer vision. The current market segment for this project is the sports industry, specifically collegiate sports and professional gymnasiums. The outcomes of the project will provide insights into the commercialization of new technologies that enable future holographic communication systems including multi-camera intelligent fusion methods that reliably construct the point cloud (a set of data points in space) from multiple cameras with temporal consistency, real-time adaptive point cloud compression and transmission methods that efficiently compress the point cloud based on the requirement of the service quality, and real-time network-aware artificial intelligence (AI)-powered point cloud reconstruction and transmission that can be efficiently transmitted to the smart mixed reality (MR) glass via wireless links.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目的更广泛的影响/商业潜力是将专业体育行业的低成本全息触觉系统商业化。该系统可以有效地提高性能，并降低体育俱乐部和教练在招募和培训世界任何地方的运动员方面的成本。全息电视呈现可能会大大提高远程工作和在线培训的效率，并刺激新的用例和服务改善生活质量。通过该项目，该团队旨在通过客户发现将其关于无处不在的机器视觉系统的基本研究转化为市场。该团队计划将从该项目学到的知识纳入他们的课程，高级设计项目以及研究生的指导。这样，他们将培养可以将技术转化为商业产品并帮助发展经济的下一代工程师和研究人员。这个I-Corps项目探讨了低成本全息触觉系统的商业潜力。全息电视系统涉及来自高级无线通信，边缘计算系统和计算机视觉的核心技术。该项目的当前市场领域是体育行业，特别是大学体育和专业体育馆。该项目的结果将提供有关新技术商业化的见解 - 时间自适应点云压缩和传输方法，根据服务质量的要求有效地压缩点云，以及实时网络感知的人工智能（AI）功能的点云重建和传输，可以有效地传输到该智能混合现实（MR）玻璃通过无线链接。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估获得支持。

项目成果

DeepMix: mobility-aware, lightweight, and hybrid 3D object detection for headsets

• DOI: 10.1145/3498361.3538945
• 发表时间: 2022-01
• 期刊: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services
• 作者: Yongjie Guan;Xueyu Hou;Na Wu;Bo Han;Tao Han