物联网学报 ›› 2017, Vol. 1 ›› Issue (2): 17-27.doi: 10.11959/j.issn.2096-3750.2017.00014

• 特邀与综述 • 上一篇    下一篇

面向沉浸式体验的空天地一体化车联网体系架构与关键技术

牛志升1,Sherman SHEN1,2,张钦宇3,唐余亮4   

  1. 1 清华大学电子工程系,北京 100084
    2 滑铁卢大学电子与计算机工程系,加拿大 安大略 N2L 3G1
    3 哈尔滨工业大学深圳研究生院,广东 深圳 518055
    4 厦门大学通信工程系,福建 厦门 361005
  • 修回日期:2017-08-30 出版日期:2017-09-01 发布日期:2018-03-10
  • 作者简介:牛志升(1964-),男,清华大学教授,主要研究方向为通信网流量控制理论、绿色通信、车联网等。|Sherman SHEN(1958-),男,加拿大滑铁卢大学教授,清华大学客座讲席教授,主要研究方向为移动通信网络、无线传感器网络、网络与信息安全、车联网等。|张钦宇(1972-),男,哈尔滨工业大学深圳研究生院教授,主要研究方向为空间信息网络、通信与信息系统等。|唐余亮(1964-),男,厦门大学教授,主要研究方向为无线与移动通信、车联网、网络安全等。
  • 基金资助:
    国家自然科学基金资助项目(91638264)

Space-air-ground integrated vehicular network for immersive driving experience

Zhi-sheng NIU1,SHEN Sherman1,2,Qin-yu ZHANG3,Yu-liang TANG4   

  1. 1 Department of Electronic and Engineering,Tsinghua University,Beijing 100084,China
    2 Department of Electronics and Computer Engineering,University of Waterloo,ON N2L 3G1,Canada
    3 Shenzhen Graduate School,Harbin Institute of Technology,Shenzhen 518055,China
    4 College of Communication Engineering,Xiamen University,Xiamen 361005,China
  • Revised:2017-08-30 Online:2017-09-01 Published:2018-03-10
  • Supported by:
    The National Natural Science Foundation of China(91638264)

摘要:

面向智能化交通管理、车辆智能化控制以及路网智能信息服务的应用需求,结合空间信息网络在覆盖范围、时空基准、态势感知等方面的突出优势,提出一种基于空天地一体化网络的车联网概念,并探讨空间资源动态约束下的空天地一体化网络重构、多维多尺度情境信息的实时感知与高效融合以及情境信息的实时可靠安全交互机理的基本思路与方法,为车辆智能驾驶和用户沉浸式驾驶体验提供技术支撑,为全自动无人驾驶车联网奠定理论和技术基础。

关键词: 空间信息网络, 车联网, 天空地一体化网络, 自动驾驶, 情境信息, 沉浸式驾驶体验

Abstract:

In order to achieve the significant advantages of next generation intelligent transportation systems,realizing the smart control of vehicles,and satisfy the vehicular demands for on-road infotainment services,a novel space-air-ground integrated vehicular network architecture was proposed by making use of the space information in terms of service coverage,time synchronization,vehicle status sensing,etc.The project would investigate three fundamental scientific issues related to the novel network:1) space-air-ground integrated network reconfiguration under dynamic space resources constraints; 2) real-time sensing and efficient integration of multi-dimensional context information; 3) real-time,reliable and secure interaction among context information.The outcomes of this project will provide the foundations both in theory and practice for highly expected smart driving,immersive driving experience,and autonomous self-driving vehicular networks.

Key words: space information network, vehicular network, space-air-ground integrated network, autonomous driving, context information, immersive driving experience

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