摘要
对自动驾驶业务的发展趋势、单车智能的局限性、车路协同的优势进行了介绍;同时,重点阐述了车路协同技术体系架构及系统要求、基于“端边云”的多级多源数据融合感知分析架构以及基于路侧+边缘云+区域/中心云三级/四级边缘部署实现路径;最后给出了基于边云协同多级多源感知融合分析能力组网方案,并对其具体功能、时延等要求进行了详细论述。该研究对车路协同项目规划和设计人员有一定参考价值。
In This paper, the development trend of automatic driving business, the limitations of single vehicle intelligence, and the advantages of vehicle road coordination are introduced. At the same time, it focuses on the technical architecture and system requirements of vehicle road collaboration, the multi-level multi-source data fusion perception analysis architecture based on " end edge cloud ", and the implementation path of three-level/four-level edge deployment based on roadside + edge cloud + regional/central cloud. The networking scheme of multi-level multi-source sensing fusion analysis capability based on edge cloud is then proposed, and its specific functions and delay requirements are discussed in detail. This research is of some reference value to the project planner and designer of vehicle road collaboration.
作者
熊小敏
沈云
丁鹏
薛裕颖
Xiong Xiaomin;Shen Yun;Ding Peng;Xue Yuying(Research Institute of China Telecom Corporation Limited,Beijing 102209,China)
出处
《电子技术应用》
2020年第12期19-25,31,共8页
Application of Electronic Technique
基金
国家科技重大专项课题(2017ZX03001013-004)。
关键词
边云协同
车路协同
V2X
边缘计算
MEC
多源数据融合
edge cloud collaboration
vehicle-road collaboration
V2X
edge computing
MEC
multi-source data fusion
