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

Zhi-sheng NIU; SHEN Sherman; Qin-yu ZHANG; Yu-liang TANG

doi:10.11959/j.issn.2096-3750.2017.00014

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

Invitation and Review | 更新时间：2024-06-05

- Space-air-ground integrated vehicular network for immersive driving experience
- Chinese Journal on Internet of Things Vol. 1, Issue 2, Pages: 17-27(2017)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2017.00014
  CLC： TP319
- Published：30 September 2017，
  
  Published Online：2017-09，
- 稿件说明：
移动端阅览
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：

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

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