Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks

Lianzhen Wei; Zirui Li; Jianwei Gong; Cheng Gong; Jiachen Li

doi:10.1109/ITSC48978.2021.9564518

Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks

Lianzhen Wei, Zirui Li^*, Jianwei Gong^*, Cheng Gong, Jiachen Li

^*此作品的通讯作者

机械与车辆学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

43 引用（Scopus）

摘要

Due to the complex and dynamic character of intersection scenarios, the autonomous driving strategy at intersections has been a difficult problem and a hot point in the research of intelligent transportation systems in recent years. This paper gives a brief summary of state-of-the-art autonomous driving strategies at intersections. Firstly, we enumerate and analyze common types of intersection scenarios, corresponding simulation platforms, as well as related datasets. Secondly, by reviewing previous studies, we have summarized characteristics of existing autonomous driving strategies and classified them into several categories. Finally, we point out problems of the existing autonomous driving strategies and put forward several valuable research outlooks.

源语言	英语
主期刊名	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
出版商	Institute of Electrical and Electronics Engineers Inc.
页	44-51
页数	8
ISBN（电子版）	9781728191423
DOI	https://doi.org/10.1109/ITSC48978.2021.9564518
出版状态	已出版 - 19 9月 2021
活动	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 - Indianapolis, 美国期限: 19 9月 2021 → 22 9月 2021

出版系列

姓名	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
卷	2021-September

会议

会议	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
国家/地区	美国
市	Indianapolis
时期	19/09/21 → 22/09/21

访问文件

10.1109/ITSC48978.2021.9564518

其它文件与链接

链接到 Scopus 的出版物

引用此

Wei, L., Li, Z., Gong, J., Gong, C., & Li, J. (2021). Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks. 在 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 (页码 44-51). (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; 卷 2021-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC48978.2021.9564518

Wei, Lianzhen ; Li, Zirui ; Gong, Jianwei 等. / Autonomous Driving Strategies at Intersections : Scenarios, State-of-the-Art, and Future Outlooks. 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 44-51 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

@inproceedings{808832174877429e85bd5e82966e2b8e,

title = "Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks",

abstract = "Due to the complex and dynamic character of intersection scenarios, the autonomous driving strategy at intersections has been a difficult problem and a hot point in the research of intelligent transportation systems in recent years. This paper gives a brief summary of state-of-the-art autonomous driving strategies at intersections. Firstly, we enumerate and analyze common types of intersection scenarios, corresponding simulation platforms, as well as related datasets. Secondly, by reviewing previous studies, we have summarized characteristics of existing autonomous driving strategies and classified them into several categories. Finally, we point out problems of the existing autonomous driving strategies and put forward several valuable research outlooks.",

author = "Lianzhen Wei and Zirui Li and Jianwei Gong and Cheng Gong and Jiachen Li",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 ; Conference date: 19-09-2021 Through 22-09-2021",

year = "2021",

month = sep,

day = "19",

doi = "10.1109/ITSC48978.2021.9564518",

language = "English",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "44--51",

booktitle = "2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021",

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}

Wei, L, Li, Z, Gong, J, Gong, C & Li, J 2021, Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks. 在 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 卷 2021-September, Institute of Electrical and Electronics Engineers Inc., 页码 44-51, 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021, Indianapolis, 美国, 19/09/21. https://doi.org/10.1109/ITSC48978.2021.9564518

Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks. / Wei, Lianzhen; Li, Zirui; Gong, Jianwei 等.
2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 44-51 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; 卷 2021-September).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Autonomous Driving Strategies at Intersections

T2 - 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021

AU - Wei, Lianzhen

AU - Li, Zirui

AU - Gong, Jianwei

AU - Gong, Cheng

AU - Li, Jiachen

PY - 2021/9/19

Y1 - 2021/9/19

N2 - Due to the complex and dynamic character of intersection scenarios, the autonomous driving strategy at intersections has been a difficult problem and a hot point in the research of intelligent transportation systems in recent years. This paper gives a brief summary of state-of-the-art autonomous driving strategies at intersections. Firstly, we enumerate and analyze common types of intersection scenarios, corresponding simulation platforms, as well as related datasets. Secondly, by reviewing previous studies, we have summarized characteristics of existing autonomous driving strategies and classified them into several categories. Finally, we point out problems of the existing autonomous driving strategies and put forward several valuable research outlooks.

AB - Due to the complex and dynamic character of intersection scenarios, the autonomous driving strategy at intersections has been a difficult problem and a hot point in the research of intelligent transportation systems in recent years. This paper gives a brief summary of state-of-the-art autonomous driving strategies at intersections. Firstly, we enumerate and analyze common types of intersection scenarios, corresponding simulation platforms, as well as related datasets. Secondly, by reviewing previous studies, we have summarized characteristics of existing autonomous driving strategies and classified them into several categories. Finally, we point out problems of the existing autonomous driving strategies and put forward several valuable research outlooks.

UR - http://www.scopus.com/inward/record.url?scp=85118433727&partnerID=8YFLogxK

U2 - 10.1109/ITSC48978.2021.9564518

DO - 10.1109/ITSC48978.2021.9564518

M3 - Conference contribution

AN - SCOPUS:85118433727

T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 44

EP - 51

BT - 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 19 September 2021 through 22 September 2021

ER -

Wei L, Li Z, Gong J, Gong C, Li J. Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks. 在 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 页码 44-51. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC48978.2021.9564518

Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks

摘要

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会议

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