面向自动驾驶的边缘计算技术研究综述

吕品; 许嘉; 李陶深; 徐文彪

doi:10.11959/j.issn.1000-436x.2021045

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面向自动驾驶的边缘计算技术研究综述

综述 | 更新时间：2024-06-05

- 面向自动驾驶的边缘计算技术研究综述
- Survey on edge computing technology for autonomous driving
- 通信学报 2021年42卷第3期页码：190-208
- 作者机构：
  
  1. 广西大学计算机与电子信息学院，广西南宁 530004
  2. 广西多媒体通信与网络技术重点实验室，广西南宁 530004
  3. 广西高校并行分布式计算技术重点实验室，广西南宁 530004
- 作者简介：
  
  [ "吕品（1983- ），男，山东滨州人，博士，广西大学副研究员、硕士生导师，主要研究方向为无线网络、物联网、人工智能等。" ]
  [ "许嘉（1984- ），女，山东荣成人，博士，广西大学副教授、硕士生导师，主要研究方向为大数据分析与处理、人工智能等。" ]
  [ "李陶深（1957- ），男，广西南宁人，博士，广西大学教授、博士生导师，主要研究方向为无线网络、无线携能通信、网络信息安全、大数据处理等。" ]
  [ "徐文彪（1997- ），男，湖南常德人，广西大学硕士生，主要研究方向为边缘计算、自动驾驶等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(62062008);国家自然科学基金资助项目(61771312);国家自然科学基金资助项目(62062006);广西自然科学基金资助项目(2018JJA170194);广西自然科学基金资助项目(2018JJA170028);广西自然科学基金资助项目(2019JJA170045);广西八桂学者专项经费资助项目
- DOI：10.11959/j.issn.1000-436x.2021045
  中图分类号： TP393
- 网络出版日期：2021-03，
  
  纸质出版日期：2021-03-25
- 稿件说明：
移动端阅览
吕品, 许嘉, 李陶深, 等. 面向自动驾驶的边缘计算技术研究综述[J]. 通信学报, 2021,42(3):190-208.

Pin LYU, Jia XU, Taoshen LI, et al. Survey on edge computing technology for autonomous driving[J]. Journal on communications, 2021, 42(3): 190-208.
吕品, 许嘉, 李陶深, 等. 面向自动驾驶的边缘计算技术研究综述[J]. 通信学报, 2021,42(3):190-208. DOI： 10.11959/j.issn.1000-436x.2021045.

Pin LYU, Jia XU, Taoshen LI, et al. Survey on edge computing technology for autonomous driving[J]. Journal on communications, 2021, 42(3): 190-208. DOI： 10.11959/j.issn.1000-436x.2021045.

摘要

边缘计算在自动驾驶的环境感知和数据处理方面有着极其重要的应用。自动驾驶汽车可以通过从边缘节点获得环境信息来扩大自身的感知范围，也可以向边缘节点卸载计算任务以解决计算资源不足的问题。相比于云计算，边缘计算避免了长距离数据传输所导致的高时延，能给自动驾驶车辆提供更快速的响应，并且降低了主干网络的负载。基于此，首先介绍了基于边缘计算的自动驾驶汽车协同感知和任务卸载技术及相关挑战性问题，然后对协同感知和任务卸载技术的研究现状进行了分析总结，最后讨论了该领域有待进一步研究的问题。

Abstract

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.

关键词

Keywords

references

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