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

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

55 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 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	44-51
Number of pages	8
ISBN (Electronic)	9781728191423
DOIs	https://doi.org/10.1109/ITSC48978.2021.9564518
Publication status	Published - 19 Sept 2021
Event	2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 - Indianapolis, United States Duration: 19 Sept 2021 → 22 Sept 2021

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	2021-September

Conference

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

Access to Document

10.1109/ITSC48978.2021.9564518

Cite this

Wei, L., Li, Z., Gong, J., Gong, C., & 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 2021 (pp. 44-51). (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2021-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC48978.2021.9564518

Wei, Lianzhen ; Li, Zirui ; Gong, Jianwei et al. / 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. pp. 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",

address = "United States",

}

Wei, L, Li, Z, Gong, J, Gong, C & 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 2021. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 2021-September, Institute of Electrical and Electronics Engineers Inc., 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 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 44-51 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2021-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 - https://www.scopus.com/pages/publications/85118433727

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. In 2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 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

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this