Spatio-Temporal Feature Encoding for Traffic Accident Detection in VANET Environment-Reference-Cited by-同舟云学术

Spatio-Temporal Feature Encoding for Traffic Accident Detection in VANET Environment

Published:2022-10 Issue:10 Volume:23 Page:19772-19781
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhou Zhili¹^ORCID,Dong Xiaohua¹,Li Zhetao²^ORCID,Yu Keping³^ORCID,Ding Chun¹,Yang Yimin⁴^ORCID

Affiliation:

1. Engineering Research Center of Digital Forecasts, Ministry of Education, School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

2. College of Information Science and Technology, Jinan University, Guangzhou, China

3. Global Information and Telecommunication Institute, Waseda University, Tokyo, Japan

4. Computer Science Department, Lakehead University, Thunder Bay, ON, Canada

Funder

National Natural Science Foundation of China

Hunan Science and Technology Planning Project

Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) Fund

Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09714213.pdf?arnumber=9714213

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