Chinese Journal on Internet of Things ›› 2017, Vol. 1 ›› Issue (2): 17-27.doi: 10.11959/j.issn.2096-3750.2017.00014

• Invitation and Review • Previous Articles     Next Articles

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)

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

CLC Number: 

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