Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities

Shaoshan Liu; Bo Yu; Jie Tang; Qi Zhu

doi:10.1109/DAC18074.2021.9586317

Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities

Shaoshan Liu^*, Bo Yu, Jie Tang, Qi Zhu

^*Corresponding author for this work

Electrical and Computer Engineering

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

31 Scopus citations

Abstract

The infrastructure-vehicle cooperative autonomous driving approach relies on the cooperation between intelligent roads and intelligent vehicles. This approach is not only safer but also more economical compared to the traditional on-vehicle-only autonomous driving. In this paper, we introduce the real-world deployment experiences of infrastructure-vehicle cooperative autonomous driving by PerceptIn, where a three-stage development roadmap is taken: infrastructure-augmented autonomous driving (IAAD), infrastructure-guided autonomous driving (IGAD), and infrastructure-planned autonomous driving (IPAD). We then discuss the future research challenges and opportunities for such approach.

Original language	English (US)
Title of host publication	2021 58th ACM/IEEE Design Automation Conference, DAC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1323-1326
Number of pages	4
ISBN (Electronic)	9781665432740
DOIs	https://doi.org/10.1109/DAC18074.2021.9586317
State	Published - Dec 5 2021
Event	58th ACM/IEEE Design Automation Conference, DAC 2021 - San Francisco, United States Duration: Dec 5 2021 → Dec 9 2021

Publication series

Name	Proceedings - Design Automation Conference
Volume	2021-December
ISSN (Print)	0738-100X

Conference

Conference	58th ACM/IEEE Design Automation Conference, DAC 2021
Country/Territory	United States
City	San Francisco
Period	12/5/21 → 12/9/21

ASJC Scopus subject areas

Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Modeling and Simulation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/DAC18074.2021.9586317

Cite this

Liu, S., Yu, B., Tang, J., & Zhu, Q. (2021). Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. In 2021 58th ACM/IEEE Design Automation Conference, DAC 2021 (pp. 1323-1326). (Proceedings - Design Automation Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DAC18074.2021.9586317

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abstract = "The infrastructure-vehicle cooperative autonomous driving approach relies on the cooperation between intelligent roads and intelligent vehicles. This approach is not only safer but also more economical compared to the traditional on-vehicle-only autonomous driving. In this paper, we introduce the real-world deployment experiences of infrastructure-vehicle cooperative autonomous driving by PerceptIn, where a three-stage development roadmap is taken: infrastructure-augmented autonomous driving (IAAD), infrastructure-guided autonomous driving (IGAD), and infrastructure-planned autonomous driving (IPAD). We then discuss the future research challenges and opportunities for such approach.",

author = "Shaoshan Liu and Bo Yu and Jie Tang and Qi Zhu",

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doi = "10.1109/DAC18074.2021.9586317",

language = "English (US)",

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Liu, S, Yu, B, Tang, J & Zhu, Q 2021, Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. in 2021 58th ACM/IEEE Design Automation Conference, DAC 2021. Proceedings - Design Automation Conference, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 1323-1326, 58th ACM/IEEE Design Automation Conference, DAC 2021, San Francisco, United States, 12/5/21. https://doi.org/10.1109/DAC18074.2021.9586317

Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. / Liu, Shaoshan; Yu, Bo; Tang, Jie et al.
2021 58th ACM/IEEE Design Automation Conference, DAC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1323-1326 (Proceedings - Design Automation Conference; Vol. 2021-December).

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

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AB - The infrastructure-vehicle cooperative autonomous driving approach relies on the cooperation between intelligent roads and intelligent vehicles. This approach is not only safer but also more economical compared to the traditional on-vehicle-only autonomous driving. In this paper, we introduce the real-world deployment experiences of infrastructure-vehicle cooperative autonomous driving by PerceptIn, where a three-stage development roadmap is taken: infrastructure-augmented autonomous driving (IAAD), infrastructure-guided autonomous driving (IGAD), and infrastructure-planned autonomous driving (IPAD). We then discuss the future research challenges and opportunities for such approach.

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Liu S, Yu B, Tang J, Zhu Q. Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. In 2021 58th ACM/IEEE Design Automation Conference, DAC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1323-1326. (Proceedings - Design Automation Conference). doi: 10.1109/DAC18074.2021.9586317

Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

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