中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey

文献类型:期刊论文

作者Hongyi Lin; Yang Liu; Shen Li; Xiaobo Qu
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2023
卷号10期号:9页码:1781-1796
ISSN号2329-9266
关键词Autonomous driving generative adversarial network (GAN) intelligent transportation system (ITS) traffic anomaly inspection traffic flow
DOI10.1109/JAS.2023.123744
英文摘要In current years, the improvement of deep learning has brought about tremendous changes: As a type of unsupervised deep learning algorithm, generative adversarial networks (GANs) have been widely employed in various fields including transportation. This paper reviews the development of GANs and their applications in the transportation domain. Specifically, many adopted GAN variants for autonomous driving are classified and demonstrated according to data generation, video trajectory prediction, and security of detection. To introduce GANs to traffic research, this review summarizes the related techniques for spatio-temporal, sparse data completion, and time-series data evaluation. GAN-based traffic anomaly inspections such as infrastructure detection and status monitoring are also assessed. Moreover, to promote further development of GANs in intelligent transportation systems (ITSs), challenges and noteworthy research directions on this topic are provided. In general, this survey summarizes 130 GAN-related references and provides comprehensive knowledge for scholars who desire to adopt GANs in their scientific works, especially transportation-related tasks.
源URL[http://ir.ia.ac.cn/handle/173211/52368]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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Hongyi Lin,Yang Liu,Shen Li,et al. How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(9):1781-1796.
APA Hongyi Lin,Yang Liu,Shen Li,&Xiaobo Qu.(2023).How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey.IEEE/CAA Journal of Automatica Sinica,10(9),1781-1796.
MLA Hongyi Lin,et al."How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey".IEEE/CAA Journal of Automatica Sinica 10.9(2023):1781-1796.

入库方式: OAI收割

来源:自动化研究所

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