Prediction of Pedestrian Crossing Behavior Based on Surveillance Video.

Zhou, Xiao; Ren, Hongyu; Zhang, Tingting; Mou, Xingang; He, Yi; Chan, Ching-Yao

Zhou, Xiao; Ren, Hongyu; Zhang, Tingting; Mou, Xingang; He, Yi; Chan, Ching-Yao.

Afiliación

Zhou X; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Ren H; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Zhang T; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Mou X; School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
He Y; Intelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, China.
Chan CY; California Partners for Advanced Transportation Technology (PATH), University of California, Berkeley, Richmond, CA 94720-5800, USA.

Sensors (Basel) ; 22(4)2022 Feb 14.

Article en En | MEDLINE | ID: mdl-35214369

Asunto(s)

Conducción de Automóvil; Peatones; Accidentes de Tránsito/prevención & control; Humanos; Seguridad; Caminata

Palabras clave

autonomous driving; behavior prediction; multi-source feature fusion; surveillance video; traffic safety

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Conducción de Automóvil / Peatones Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

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