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智能网联车路云协同系统架构与关键技术研究综述
引用本文:丁飞, 张楠, 李升波, 边有钢, 童恩, 李克强. 智能网联车路云协同系统架构与关键技术研究综述. 自动化学报, 2022, 48(12): 2863−2885 doi: 10.16383/j.aas.c211108
作者姓名:丁飞  张楠  李升波  边有钢  童恩  李克强
作者单位:1.南京邮电大学通信与网络技术国家工程研究中心 南京 210003;;2.中国移动−南京邮电大学5G联合创新中心 南京 210003;;3.清华大学汽车安全与节能国家重点实验室 北京 100084;;4.湖南大学汽车车身先进设计制造国家重点实验室 长沙 410082
基金项目:国家自然科学基金(61871446, 61872423), 工业和信息化部产业技术基础公共服务平台项目(2019-00892-3-1), 工业和信息化部通信软科学研究项目(2019-R-26), 江苏省重点研发计划(BE2020084-1), 江苏省“六大人才高峰”高层次人才资助项目(DZXX-008)资助
摘    要:随着汽车产业电动化、智能化、网联化、共享化的发展驱动, 全球主要强国均将智能网联汽车列为国家战略发展方向. 蜂窝车联网、边缘计算网络和高精度定位系统的技术发展, 为车车、车路、车人和车云系统的全面融合提供了有效支撑. 车辆、道路、云平台与蜂窝车联网(Cellular vehicle-to-everything, C-V2X)网络的融合, 加速打通车内与车外、路面与路侧、云上与云间的信息互通, 为实现车路云一体化的融合感知、群体决策及协同控制提供了重要基础. 首先, 梳理了智能网联车路云协同系统架构与关键技术, 对该领域的演进特征、发展制约因素进行了总体概述; 其次, 阐述了新型车路云协同系统、智能网联C-V2X通信系统、云控系统和车路云协同测试系统的架构设计与工作原理; 然后, 从C-V2X组网、融合定位、测试评价角度, 介绍了车路云协同系统融合V2X网络、融合定位的技术演进与研究进展, 给出了智能网联场景的仿真平台、实车测试及评价指标; 最后, 对智能网联车路云协同系统的协同组网与控制、互操作、边缘智能服务和安全技术层面的发展趋势进行了展望.

关 键 词:车路云协同系统   蜂窝车联网   智能网联汽车   边缘计算网络   高精度定位
收稿时间:2021-11-23

A Survey of Architecture and Key Technologies of Intelligent Connected Vehicle-road-cloud Cooperation System
Ding Fei, Zhang Nan, Li Sheng-Bo, Bian You-Gang, Tong En, Li Ke-Qiang. A survey of architecture and key technologies of intelligent connected vehicle-road-cloud cooperation system. Acta Automatica Sinica, 2022, 48(12): 2863−2885 doi: 10.16383/j.aas.c211108
Authors:DING Fei  ZHANG Nan  LI Sheng-Bo  BIAN You-Gang  TONG En  LI Ke-Qiang
Affiliation:1. National Engineering Research Center for Communication and Network Technology, Nanjing University Posts and Telecommunications, Nanjing 210003;;2. 5G Joint Innovation Center of China Mobile & Nanjing University of Posts and Telecommunications, Nanjing 210003;;3. State Key Laboratory of Automotive Safety & Energy, Tsinghua University, Beijing 100084;;4. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082
Abstract:With the development of electrification, intelligence, networking, and sharing in the automotive industry, all major countries have laid out the intelligent connected vehicle as a national strategy. The technological development of cellular vehicle-to-everything (C-V2X), edge computing networks, and high-precision positioning systems provide strong support for the comprehensive integration of the vehicle to vehicle, vehicle to the road, vehicle to pedestrian, and vehicle to cloud. Vehicles, roads, and cloud platforms are integrated with the C-V2X network, information exchange between the in-vehicle, road, and cloud with the out-vehicle, roadside, and different clouds will be accelerated, and the vehicle-road-cloud coordinated fusion perception, group decision, and collaborative control will also be established. Firstly, the architecture and key technologies of the intelligent connected vehicle-road-cloud cooperation system are combed, and its evolution characteristics and development constraints are summarized. Then, the architecture design and working principle of the new vehicle-road-cloud cooperation system, intelligent connected C-V2X communication system, the cloud control system, and vehicle-road-cloud cooperation test system are described. Besides, from the three aspects of C-V2X networking, fusion positioning, and test evaluation, the V2X network and fusion positioning-based technical evolution and research progress of vehicle-road-cloud cooperation system are introduced, and the simulation platform, real vehicle test, and evaluation index of intelligent networking scenario are also proposed. Finally, the development trends of the intelligent connected vehicle-road-cloud cooperation system in the aspects of collaborative networking and control, interoperability, edge intelligent service, and security technology are discussed.
Keywords:Vehicle-road-cloud cooperation system  cellular vehicle-to-everything  intelligent connected vehicle  edge computing network  high precision positioning
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