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J-GLOBAL ID:202402269841044043   Reference number:24A0393013

Driving Violation Prediction Based on an Emotional Style Transfer Network

感情スタイル転送ネットワークに基づく運転違反予測【JST・京大機械翻訳】
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Volume: 15  Issue:Page: 2588  Publication year: 2023 
JST Material Number: U7281A  ISSN: 2071-1050  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Emotions are closely related t...
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Driver  ,  Artificial intelligence  ,  Computer networks 
Reference (28):
  • National Bureau of Statistics of People’s Republic of China. Available online: http://www.stats.gov.cn/tjsj/ndsj/2021/indexch.htm (accessed on 19 January 2023).
  • Lee, H.; Kim, H.; Choi, S. Driving Skill Modeling Using Neural Networks for Performance-Based Haptic Assistance. IEEE Trans. Hum.-Mach. Syst. 2021, 51, 198-210.
  • Jarouf, A.; Meskin, N.; Al-Kuwari, S.; Shakerpour, M.; Cassanderas, C.G. Security Analysis of Merging Control for Connected and Automated Vehicles. In Proceedings of the 2022 IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany, 5-9 June 2022; pp. 1739-1744.
  • Rajasekhar, K.; Kumar, R.; Kiran, M. Next-Generation Technologies Empowered Future IoV. In Proceedings of the 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, Mumbai, India,, 7-9 April 2022; pp. 1-5.
  • Wu, Y.L.; Tsai, H.Y.; Huang, Y.C.; Chen, B.H. Accurate Emotion Recognition for Driving Risk Prevention in Driver Monitoring System. In Proceedings of the IEEE 7th Global Conference on Consumer Electronics (GCCE), Nara, Japan, 9-12 October 2018; pp. 796-797.
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