Vehicle Interaction Behavior Prediction with Self-Attention.

Li, Linhui; Sui, Xin; Lian, Jing; Yu, Fengning; Zhou, Yafu

Li, Linhui; Sui, Xin; Lian, Jing; Yu, Fengning; Zhou, Yafu.

Afiliación

Li L; Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116081, China.
Sui X; Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116081, China.
Lian J; Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116081, China.
Yu F; Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116081, China.
Zhou Y; Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116081, China.

Sensors (Basel) ; 22(2)2022 Jan 07.

Article en En | MEDLINE | ID: mdl-35062390

Palabras clave

class imbalance; end-to-end prediction; self-attention; vehicle cluster; vehicle interaction behavior prediction

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

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