US Ignite: Focus Area 1: Predictable Wireless Networking and Collaborative 3D Reconstruction for Real-Time Augmented Vision
US Ignite:重点领域 1:用于实时增强视觉的可预测无线网络和协作 3D 重建
基本信息
- 批准号:1821962
- 负责人:
- 金额:$ 55.04万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-31 至 2020-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Eliminating the line-of-sight constraint of human vision and machine vision, the developed network systems foundations of predictable wireless networked and 3D reconstruction will enable 'see-through vision' which will transform the ways humans and engineered systems interact with environments and thus have far-reaching impact on domains such as road transportation, public safety, and disaster response. This project develops the network systems foundation for a vehicle equipped with sensors and an augmented reality display to indicate the presence of other nearby vehicles hidden by obstacles. In collaboration with Wayne State University (WSU) police and Ford Research and leveraging the WSU living lab and the OpenXC open-source platform for connected vehicles, the project will take an integrated approach to the research, deployment, and dissemination of the wireless network systems for see-through vision. This project proposes a cross-layer framework for addressing physical-domain uncertainties and the interdependencies between wireless networking and 3D reconstruction, and it develops novel algorithms for predictable wireless networking and real-time wireless networked 3D reconstruction. Using the developed network system, this project will develop a see-through vision application for human-driving. The wireless networked see-through vision system will be deployed in the WSU police patrol vehicles, and the project team will outreach to the Detroit and State of Michigan police as well as open-source communities for broad adoption and deployment of the see-through vision system.With the bold objective of eliminating the line-of-sight constraint of human vision and machine vision, this project addresses wireless networking and 3D reconstruction challenges in a holistic cross-layer framework. By integrating research investigation with systems development and deployment, this project will make the following significant contributions: 1) Effectively leveraging multi-scale physical structures of traffic flows, the multi-scale approach to resource management in vehicular wireless networks not only ensures predictable vehicular wireless networking, it also transforms fundamental challenges of vehicular networks to ones similar to those of mostly-immobile networks, thus enabling the exploration of fundamental, generically-applicable principles and mechanisms for predictable wireless networking; 2) the multi-scale approach to joint scheduling, channel assignment, power control, and rate control enables predictable control of per-packet transmission reliability in the presence of fast-varying network and environmental conditions such as wireless channel attenuation, internal and external interference, data traffic dynamics, and vehicle mobility; 3) the real-time scheduling algorithm enables controllable exploration of real-time capacity regions for system-level optimization; 4) the collaborative 3D reconstruction model integrates visual sensors in a divide-and-conquer fashion, and it enhances the capability of networked vision as well as its robustness to physical uncertainties; 5) the co-design of collaborative 3D reconstruction and wireless networking permits adaptive communication capacity allocation to optimize the quality of 3D reconstruction; 6) the attention-aware see-through vision application creates a new research field of vision augmentation by uniquely integrating computer vision and computer graphics research and by proposing a practical solution for displaying augmented 3D vision.
消除了人类视觉和机器视觉的视线限制,可预测的无线网络和3D重建的网络系统基础将实现“透视视觉”,这将改变人类和工程系统与环境交互的方式,从而对道路运输,公共安全和灾难响应等领域产生深远的影响。该项目为配备传感器和增强现实显示器的车辆开发网络系统基础,以指示附近被障碍物隐藏的其他车辆的存在。 该项目与韦恩州立大学(WSU)警察局和福特研究院合作,利用WSU生活实验室和OpenXC互联车辆开源平台,将采取综合方法研究、部署和传播用于透视视觉的无线网络系统。该项目提出了一个跨层框架,用于解决物理域的不确定性和无线网络和3D重建之间的相互依赖性,并开发了可预测的无线网络和实时无线网络3D重建的新算法。利用所开发的网路系统,本计画将开发一个用于人类驾驶的透视视觉应用。该无线网络透视视觉系统将部署在WSU警察巡逻车上,项目团队将与底特律和密歇根州警方以及开源社区进行外联,以广泛采用和部署透视视觉系统。凭借消除人类视觉和机器视觉的视线限制的大胆目标,该项目在一个整体的跨层框架中解决了无线网络和3D重建的挑战。通过将研究调查与系统开发和部署相结合,该项目将做出以下重大贡献:1)有效地利用业务流的多尺度物理结构,车辆无线网络中的资源管理的多尺度方法不仅确保了可预测的车辆无线联网,还将车辆网络的基本挑战转变为类似于大多数固定网络的挑战,从而使得能够探索用于可预测的无线联网的基本的、普遍适用的原理和机制; 2)联合调度、信道分配、功率控制和速率控制的多尺度方法使得能够在存在快速变化的网络和环境条件(例如无线信道衰减、内部和外部干扰、数据业务动态性)的情况下对每分组传输可靠性进行可预测的控制,车辆机动性; 3)实时调度算法实现了对实时容量区域的可控探索,实现了系统级优化:4)协同三维重建模型以分而治之的方式集成了多个视觉传感器,增强了网络视觉的能力和对物理不确定性的鲁棒性; 5)协同3D重建和无线联网的协同设计允许自适应通信容量分配以优化3D重建的质量; 6)注意力感知透视视觉应用通过独特地集成计算机视觉和计算机图形学研究并通过提出用于显示增强的3D视觉的实用解决方案来创建视觉增强的新研究领域。
项目成果
期刊论文数量(14)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Distributed Scheduling and Power Control for Predictable IoT Communication Reliability
- DOI:10.1109/icc.2018.8422893
- 发表时间:2018-05
- 期刊:
- 影响因子:0
- 作者:Ling Wang;Hongwei Zhang;Pengfei Ren
- 通讯作者:Ling Wang;Hongwei Zhang;Pengfei Ren
Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle Communications
- DOI:10.1109/tvt.2020.2968591
- 发表时间:2020-01
- 期刊:
- 影响因子:6.8
- 作者:Chuan Li;Hongwei Zhang;Tianyi Zhang;J. Rao;L. Wang;G. Yin
- 通讯作者:Chuan Li;Hongwei Zhang;Tianyi Zhang;J. Rao;L. Wang;G. Yin
JointFontGAN: Joint Geometry-Content GAN for Font Generation via Few-Shot Learning
- DOI:10.1145/3394171.3413705
- 发表时间:2020-10
- 期刊:
- 影响因子:0
- 作者:Yankun Xi;Guoli Yan;Jing Hua;Z. Zhong
- 通讯作者:Yankun Xi;Guoli Yan;Jing Hua;Z. Zhong
Learning Facial Expressions with 3D Mesh Convolutional Neural Network
- DOI:10.1145/3200572
- 发表时间:2018-11
- 期刊:
- 影响因子:0
- 作者:Hai Jin;Yuanfeng Lian;Jing Hua
- 通讯作者:Hai Jin;Yuanfeng Lian;Jing Hua
Unified Scheduling for Predictable Communication Reliability in Industrial Cellular Networks
- DOI:10.1109/icii.2018.00022
- 发表时间:2018-10
- 期刊:
- 影响因子:0
- 作者:Yuwei Xie;Hongwei Zhang;Pengfei Ren
- 通讯作者:Yuwei Xie;Hongwei Zhang;Pengfei Ren
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Hongwei Zhang其他文献
Development of a highly sensitive liquid chromatography/tandem mass spectrometry method to quantify total and free levels of a target protein, interferon-gamma-inducible protein-10, at picomolar levels in human serum.
开发高灵敏度液相色谱/串联质谱方法,以皮摩尔水平定量人血清中目标蛋白(干扰素-γ-诱导蛋白-10)的总水平和游离水平。
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:2
- 作者:
Hongwei Zhang;Qing Xiao;Baomin Xin;W. Trigona;A. Tymiak;A. Dongre;T. Olah - 通讯作者:
T. Olah
Designed films using TiO2 or Pd-TiO2 for a solar cell comprising two photocatalysts and photocatalytic conversion of CO2 into fuels
使用 TiO2 或 Pd-TiO2 设计的薄膜用于包含两种光催化剂的太阳能电池,并将 CO2 光催化转化为燃料
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Mao Yoshiba;Hongwei Zhang;Masayuki Tamba;Takashi Kojima;Yasuo Izumi - 通讯作者:
Yasuo Izumi
Effect of support morphology on the activity and reusability of Pd/SiO2 for NBR hydrogenation
载体形态对Pd/SiO2 NBR加氢活性和重复使用性的影响
- DOI:
10.1007/s10853-020-04986-9 - 发表时间:
2020-06 - 期刊:
- 影响因子:0
- 作者:
Peng Zhang;Hongwei Zhang;Shuhan Wang;Xueqin Lei;Jiangtao Yang;Zimeng Li;Haibo Zhu;Xiaojun Bao;Pei Yuan - 通讯作者:
Pei Yuan
Research on Non-Invasive Laser Doppler Current Measurement for Hydrothermal Vents Flow Rates Profile
热液喷口流量剖面无创激光多普勒电流测量研究
- DOI:
10.1051/epjconf/202023707023 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Hongwei Zhang;Songhua Wu;Jintao Liu;Yuanshuai Zhang;Xiaoming Chen - 通讯作者:
Xiaoming Chen
Active Noise Control of Axial-Fan Using Singular Spectrum Analysis
使用奇异谱分析的轴流风机主动噪声控制
- DOI:
10.1109/iciea54703.2022.10006118 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Dongqi Zhou;Hongwei Zhang - 通讯作者:
Hongwei Zhang
Hongwei Zhang的其他文献
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{{ truncateString('Hongwei Zhang', 18)}}的其他基金
RAISE: AraOptical 2.0: MISO Free-Space Optical Communications for Long-Distance, High-Capacity X-Haul Networking
RAISE:AraOptical 2.0:用于长距离、高容量 X-Haul 网络的 MISO 自由空间光通信
- 批准号:
2336057 - 财政年份:2023
- 资助金额:
$ 55.04万 - 项目类别:
Standard Grant
POSE: Phase I: OPERA: An Open-Source Ecosystem for Broadband Prairie
POSE:第一阶段:OPERA:宽带草原的开源生态系统
- 批准号:
2229654 - 财政年份:2022
- 资助金额:
$ 55.04万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Real-Time Liquid Wireless Networking for Data-Intensive Rural Applications
合作研究:CNS 核心:媒介:数据密集型农村应用的实时液体无线网络
- 批准号:
2212573 - 财政年份:2022
- 资助金额:
$ 55.04万 - 项目类别:
Standard Grant
Collaborative Research: SII-NRDZ: ARA-NRDZ: From Site and Application Investigation to Prototyping and Field Testing
合作研究:SII-NRDZ:ARA-NRDZ:从现场和应用调查到原型设计和现场测试
- 批准号:
2232461 - 财政年份:2022
- 资助金额:
$ 55.04万 - 项目类别:
Standard Grant
CC* Integration: End-to-End Software-Defined Cyberinfrastruture for Smart Agriculture and Transportation
CC* 集成:用于智能农业和交通的端到端软件定义网络基础设施
- 批准号:
1827211 - 财政年份:2018
- 资助金额:
$ 55.04万 - 项目类别:
Standard Grant
CAREER: Taming Uncertainties in Reliable, Real-Time Messaging for Wireless Networked Sensing and Control
职业:克服无线网络传感和控制的可靠实时消息传递的不确定性
- 批准号:
1821736 - 财政年份:2017
- 资助金额:
$ 55.04万 - 项目类别:
Continuing Grant
US Ignite: Focus Area 1: Predictable Wireless Networking and Collaborative 3D Reconstruction for Real-Time Augmented Vision
US Ignite:重点领域 1:用于实时增强视觉的可预测无线网络和协作 3D 重建
- 批准号:
1647200 - 财政年份:2016
- 资助金额:
$ 55.04万 - 项目类别:
Standard Grant
CAREER: Taming Uncertainties in Reliable, Real-Time Messaging for Wireless Networked Sensing and Control
职业:克服无线网络传感和控制的可靠实时消息传递的不确定性
- 批准号:
1054634 - 财政年份:2011
- 资助金额:
$ 55.04万 - 项目类别:
Continuing Grant
CPS: Medium: A Cross-Layer Approach to Taming Cyber-Physical Uncertainties in Vehicular Wireless Networking and Platoon Control
CPS:中:一种跨层方法来克服车辆无线网络和排控制中的网络物理不确定性
- 批准号:
1136007 - 财政年份:2011
- 资助金额:
$ 55.04万 - 项目类别:
Standard Grant
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