How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey-Reference-Cited by-同舟云学术

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How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey

Published:2023-09 Issue:9 Volume:10 Page:1781-1796
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Lin Hongyi¹,Liu Yang²,Li Shen³,Qu Xiaobo¹

Affiliation:

1. School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084

2. Chalmers University of Technology,Department of Architecture and Civil Engineering,Gothenburg,SE,Sweden,41296

3. Tsinghua University,Department of Civil Engineering,Beijing,China,100084

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/10219075/10198703.pdf?arnumber=10198703

Reference131 articles.

1. Intersection control with connected and automated vehicles: a review

2. Spatial Analysis of Bikeshare Ridership With Smart Card and POI Data Using Geographically Weighted Regression Method

3. Deep Reinforcement Learning for Autonomous Driving: A Survey

4. Surrounding vehicle recognition and information map construction technology in automatic driving;maoyue;J Automotive Safety and Energy,2022

5. 3D Shape Induction from 2D Views of Multiple Objects

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4. Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024-07

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