Survey on edge computing technology for autonomous driving

被引：0
|
作者：
Lyu P. [1 ,2 ,3 ]
Xu J. [1 ,2 ,3 ]
Li T. [1 ,3 ]
Xu W. [1 ]
机构：
[1] School of Computer, Electronics and Information, Guangxi University, Nanning
[2] Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning
[3] Guangxi Colleges and University Key Laboratory of Parallel and Distributed Computing, Nanning
来源：
Tongxin Xuebao/Journal on Communications | 2021年 / 42卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Autonomous driving; Cooperative perception; Edge computing; Task offloading;
D O I：
10.11959/j.issn.1000-436x.2021045
中图分类号：
学科分类号：
摘要：
Edge computing plays an extremely important role in the environment perception and data processing of autonomous driving. Autonomous driving vehicles can expand their perception scope by obtaining environmental information from edge nodes, and can also deal with the problem of insufficient computing resources by offloading tasks to edge nodes. Compared with cloud computing, edge computing avoids high latency caused by long-distance data transmission, and provides autonomous driving vehicles with faster responses, and relieves the traffic load of the backbone network. Firstly, the edge computing-based cooperative perception and task offloading technologies for autonomous vehicles were introduced firstly, and related challenging issues were also proposed. Then the state-of-the-art of cooperative perception and task offloading technologies were analyzed and summarized. Finally, the problems need to be further studied in this field were discussed. © 2021, Editorial Board of Journal on Communications. All right reserved.
引用
收藏
页码：190 / 208
页数：18
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