Survey on edge computing technology for autonomous driving

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...

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Main Authors: Pin LYU, Jia XU, Taoshen LI, Wenbiao XU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-03-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021045/
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author Pin LYU
Jia XU
Taoshen LI
Wenbiao XU
author_facet Pin LYU
Jia XU
Taoshen LI
Wenbiao XU
author_sort Pin LYU
collection DOAJ
description 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.
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institution DOAJ
issn 1000-436X
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publishDate 2021-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-dacde97aa8604a09add508a2da63d9912025-08-20T02:41:02ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-03-014219020859741128Survey on edge computing technology for autonomous drivingPin LYUJia XUTaoshen LIWenbiao XUEdge 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021045/autonomous drivingedge computingcooperative perceptiontask offloading
spellingShingle Pin LYU
Jia XU
Taoshen LI
Wenbiao XU
Survey on edge computing technology for autonomous driving
Tongxin xuebao
autonomous driving
edge computing
cooperative perception
task offloading
title Survey on edge computing technology for autonomous driving
title_full Survey on edge computing technology for autonomous driving
title_fullStr Survey on edge computing technology for autonomous driving
title_full_unstemmed Survey on edge computing technology for autonomous driving
title_short Survey on edge computing technology for autonomous driving
title_sort survey on edge computing technology for autonomous driving
topic autonomous driving
edge computing
cooperative perception
task offloading
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021045/
work_keys_str_mv AT pinlyu surveyonedgecomputingtechnologyforautonomousdriving
AT jiaxu surveyonedgecomputingtechnologyforautonomousdriving
AT taoshenli surveyonedgecomputingtechnologyforautonomousdriving
AT wenbiaoxu surveyonedgecomputingtechnologyforautonomousdriving