感知-通信-计算融合的智能车联网挑战与趋势  

Challenge and Trend of Sensing,Communication and Computing Integrated Intelligent Internet of Vehicles

作　　者：尉志青[1] 马昊 张奇勋[1] 冯志勇[1] WEI Zhiqing;MA Hao;ZHANG Qixun;FENG Zhiyong(Key Laboratory of Universal Wireless Communications,Ministry of Education,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]北京邮电大学泛网无线通信教育部重点实验室,北京100876

出　　处：《中兴通讯技术》2020年第1期45-49,共5页ZTE Technology Journal

基　　金：国家自然科学基金项目(61631003,61525101)。

摘　　要：针对单车感知无法满足未来自动驾驶安全需求的现状,面向多车传感器信息融合与时效性共享问题,提出了基于感知-通信-计算融合的智能车联网方法与解决思路。该方法有助于提高自动驾驶车辆的协同环境感知能力,并通过移动边缘计算(MEC)技术降低车间感知信息传输负载,提高多车协同的信息融合与处理效率,最终实现基于多车智能协同的安全自动驾驶。The sensing function of single vehicle can not satisfy the safety requirements of future automatic driving.Facing the problem of multi-vehicle sensing information fusion and timely sharing,the sensing,communication and computing integration technology is proposed in this paper to improve the cooperative environment sensing capability of autonomous vehicles.The mobile edge computing(MEC)is introduced to reduce the inter-vehicle information transmission load and improve the efficiency of information fusion and processing.Finally,the secure autonomous driving can be realized via multi-vehicle intelligent cooperation.

关 键 词：感知-通信-计算融合 智能车联网 自动驾驶 MEC 

分 类 号：TN929.5[电子电信—通信与信息系统] U495[电子电信—信息与通信工程]