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

Hongyi Lin Yang Liu Shen Li Xiaobo Qu

自动化学报（英文版）2023，Vol.10Issue(9)：1781-1796,16.

自动化学报（英文版）2023，Vol.10Issue(9)：1781-1796,16.DOI:10.1109/JAS.2023.123744

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

Hongyi Lin ¹Yang Liu ²Shen Li ³Xiaobo Qu¹

作者信息

1. School of Vehicle and Mobility,Tsinghua University,Beijing 100084,China
2. Department of Architecture and Civil Engineering,Chalmers University of Technology,Gothenburg SE-41296,Sweden
3. Department of Civil Engineering,Tsinghua University,Beijing 100084,China
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摘要

关键词

Autonomous driving/generative adversarial net-work(GAN)/intelligent transportation system(ITS)/traffic anomaly inspection/traffic flow

Key words

Autonomous driving/generative adversarial net-work(GAN)/intelligent transportation system(ITS)/traffic anomaly inspection/traffic flow

引用本文复制引用

Hongyi Lin,Yang Liu,Shen Li,Xiaobo Qu..How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems:A Survey[J].自动化学报（英文版）,2023,10(9):1781-1796,16.

基金项目

This work was supported by the National Natural Science Foundation of China(52221005,52220105001,52272420)and European Union's Horizon 2020 research and innovation programme under the Marie Sk?odowska-Curie(101025896). （52221005,52220105001,52272420）

自动化学报（英文版）

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