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; Sherman SHEN; 张钦宇; 唐余亮

doi:10.11959/j.issn.2096-3750.2017.00014

您当前的位置：

首页 >

文章列表页 >

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

特邀与综述 | 更新时间：2024-06-05

- 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
- Space-air-ground integrated vehicular network for immersive driving experience
- 物联网学报 2017年1卷第2期页码：17-27
- 作者机构：
  
  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
- 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。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(91638264)
- DOI：10.11959/j.issn.2096-3750.2017.00014
  中图分类号： TP319
- 纸质出版日期：2017-09-30，
  
  网络出版日期：2017-09，
- 稿件说明：
移动端阅览
牛志升, Sherman SHEN, 张钦宇, 等. 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[J]. 物联网学报, 2017,1(2):17-27.

ZHI-SHENG NIU, SHEN SHERMAN, QIN-YU ZHANG, et al. Space-air-ground integrated vehicular network for immersive driving experience. [J]. Chinese journal on internet of things, 2017, 1(2): 17-27.
牛志升, Sherman SHEN, 张钦宇, 等. 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[J]. 物联网学报, 2017,1(2):17-27. DOI： 10.11959/j.issn.2096-3750.2017.00014.

ZHI-SHENG NIU, SHEN SHERMAN, QIN-YU ZHANG, et al. Space-air-ground integrated vehicular network for immersive driving experience. [J]. Chinese journal on internet of things, 2017, 1(2): 17-27. DOI： 10.11959/j.issn.2096-3750.2017.00014.

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。

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.

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

Keywords

space information networkvehicular networkspace-air-ground integrated networkautonomous drivingcontext informationimmersive driving experience

references

MUKHTAR A, XIA L, TANG T B . Vehicle detection techniques for collision avoidance systems:a review[J]. IEEE Transactions on Intelligent Transportation Systems, 2015,16(5): 2318-2338.

FLEMING B . Advances in automotive electronics[J]. IEEE Vehicular Technology Magazine, 2015,9(2): 4-13.

张乃通, 赵康僆, 刘功亮 . 对建设我国“天地一体化信息网络”的思考[J]. 中国电子科学研究院学报, 2015,10(3): 223-230.

ZHANG N T, ZHAO K L, LIN G L . Thonght on constracting the integrated spaceterrestrial information netnork[J]. Journal of China Acalerng of Hetronics and Information Technology, 2015,10(3): 223-230.

沈荣骏 . 我国天地一体化航天互联网构想[J]. 中国工程科学, 2006,8(10): 19-30.

SHEN R J . Some thoughts of Chinese integrated space-ground netnork system[J]. Engineering Scieme, 2006,8(10): 19-30.

黄惠明, 常呈武 . 天地一体化天基骨干网络体系架构研究[J].2015,10(5):460-491. 中国电子科学研究院学报, 2015,10(5): 460-491.

HUANG H M, CHANG C W . Architectnre research on span-based backbone netnork of spale-gronnd integrated netnorks[J]. Journd of China Academy of Electronics and Information Technology, 2015,10(5): 460-491.

NAUSHAD A, BALAEI A T, DEMPSTER A G . Relative positioning enhancement in VANETs:a tight integration approach[J]. IEEE Trans.Intelligent Transportation Systems, 2013,14(1): 47-55.

ERIC M . Meet Google's project Loon:balloon-powered net access[J]. CNET Retrieved, 2013,15.

LIN Y, LIN W, SHEN L . Satellite and high altitude platform-based inter-vehicle communications in vast and desolate areas[J]. Journal of Southeast University, 2012,28(2): 135-139.

WIDIAWAN A K, TAFAZOLLI R . High altitude platform station (HAPS):A review of new infrastructure development for future wireless communications[J]. Wireless Personal Communications, 2007,2(3): 387-404.

ZHOU Y, CHENG N, LU N ,et al. Multi-UAV-aided networks:aerial-ground cooperative vehicular networking architecture[J]. IEEE Vehicular Technology Magazine, 2015,10(4): 36-44.

GARZÓN M ,et al. An aerial-ground robotic system for navigation and obstacle mapping in large outdoor areas[J]. Sensors, 2012,13(1): 1247-1267.

GODDEMEIER N, KAI D, CHRISTIAN W . Role-based connectivity management with realistic air-to-ground channels for cooperative UAVs[J]. IEEE Journal on Selected Areas in Communications, 2012,30(5): 951-963.

ZENG Y, ZHANG R, LIM J T . Wireless communications with unmanned aerial vehicles:opportunities and challenges[J]. IEEE Communications Migration, 2016,54(5): 36-42.

LU N, CHENG N, ZHANG N ,et al. Connected vehicles:solutions and challenges[J]. IEEE Internet of Things Journal, 2014,1(4): 289-299.

ZHENG K, ZHENG Q, CHATZIMISIOS P ,et al. Heterogeneous vehicular networking:a survey on architecture,challenges,and solutions[J]. IEEE Communications Surveys ＆ Tutorials 2015,17(4): 2377-2396.

WU X, SUBRAMANIAN S, GUHA R ,et al. Vehicular communications using DSRC:challenges,enhancements,and evolution[J]. IEEE Journal on Selected Areas in Communications, 2013,31(9): 399-408.

JAVIER G, MIGUEL S, RAMON B . IEEE 802.11p vehicle to infrastructure communications in urban environments[J]. IEEE Communications Magazine, 2012,50(5): 176-183.

VLADIMIR B, . A measurement study of vehicular internet access using in situ Wi-Fi networks[C]// The 12th Annual International Conference on Mobile Computing and Networking, 2006.

OTT J, KUTSCHER D . Drive-thru Internet:IEEE 802.11 b for" automobile" users[C]// INFOCOM 2004, 2004,1: 362-373.

ZHOU H, CHENG N, LU N ,et al. WhiteFi infostation:engineering vehicular media streaming with geolocation database[J]. IEEE Journal of Selected Areas of Communications, 2016,34(8): 2260-2274.

SALAHUDDIN M A, FUQAHA A A, GUIZANI M . Software-defined networking for RSU clouds in support of the internet of vehicles[J]. IEEE Internet of Things Journal Wireless Communications, 2015,2(2): 133-144.

LIU K, NG J K Y, LEE C S ,et al. Cooperative data scheduling in hybrid vehicular ad hoc networks:Vanet as a software defined network[J]. IEEE/ACM Transactions on Networking, 2016,24(3): 1759-1773.

PACE P, ALOI G, RANGO F D ,et al. An integrated satellite-HAP-terrestrial system architecture:resources allocation and traffic management issues[C]// VTC 2004-Spring, 2004,5: 2872-2875.

EVANS B, WERNER M, LUTZ E ,et al. Integration of satellite and terrestrial systems in future multimedia communications[J]. IEEE Wireless Communications, 2005,12(5): 72-80.

浏览量

3036

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于NOMA的车辆边缘计算网络优化策略

面向自动驾驶应用的车联多智能体信息融合协同决策机制研究

边缘智能驱动的车联网