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。
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.
出处
《物联网学报》
2017年第2期17-27,共11页
Chinese Journal on Internet of Things
基金
国家自然科学基金资助项目(No.91638264)~~
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
space information network
vehicular network
space-air-ground integrated network
autonomous driving
context information
immersive driving experience
