Dual Transformer Based Prediction for Lane Change Intentions and Trajectories in Mixed Traffic Environment-Reference-Cited by-同舟云学术

Dual Transformer Based Prediction for Lane Change Intentions and Trajectories in Mixed Traffic Environment

Published:2023-06 Issue:6 Volume:24 Page:6203-6216
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Gao Kai¹^ORCID,Li Xunhao¹^ORCID,Chen Bin¹,Hu Lin¹^ORCID,Liu Jian¹,Du Ronghua¹,Li Yongfu²^ORCID

Affiliation:

1. College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, China

2. Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing, College of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan

Fund of Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems

Postgraduate Scientific Research Innovation Project of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10139322/10061336.pdf?arnumber=10061336

Reference51 articles.

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4. Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron

5. VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation

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