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

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

Transport and Planning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

27 Citations (Scopus)

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.

Original language	English
Title of host publication	2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
Subtitle of host publication	Proceedings
Publisher	IEEE
Pages	44-51
Number of pages	8
ISBN (Electronic)	978-1-7281-9142-3
ISBN (Print)	978-1-7281-9143-0
DOIs	https://doi.org/10.1109/ITSC48978.2021.9564518
Publication status	Published - 2021
Event	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 - Indianapolis, United States Duration: 19 Sept 2021 → 22 Sept 2021

Conference

Conference	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Country/Territory	United States
City	Indianapolis
Period	19/09/21 → 22/09/21

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10.1109/ITSC48978.2021.9564518

Cite this

@inproceedings{b5a3c8fe53674c3e8c8aa39fe588565a,

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 Gong Cheng and Jiachen Li",

year = "2021",

doi = "10.1109/ITSC48978.2021.9564518",

language = "English",

isbn = "978-1-7281-9143-0",

pages = "44--51",

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

publisher = "IEEE",

address = "United States",

note = "2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 ; Conference date: 19-09-2021 Through 22-09-2021",

}

Wei, L, Li, Z, Gong, J, Cheng, G & Li, J 2021, Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks. in 2021 IEEE International Intelligent Transportation Systems Conference (ITSC): Proceedings., 9564518, IEEE, pp. 44-51, 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021, Indianapolis, United States, 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 et al.
2021 IEEE International Intelligent Transportation Systems Conference (ITSC): Proceedings. IEEE, 2021. p. 44-51 9564518.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Autonomous Driving Strategies at Intersections

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AU - Li, Zirui

AU - Gong, Jianwei

AU - Cheng, Gong

AU - Li, Jiachen

PY - 2021

Y1 - 2021

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.

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U2 - 10.1109/ITSC48978.2021.9564518

DO - 10.1109/ITSC48978.2021.9564518

M3 - Conference contribution

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EP - 51

BT - 2021 IEEE International Intelligent Transportation Systems Conference (ITSC)

PB - IEEE

Y2 - 19 September 2021 through 22 September 2021

ER -

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

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