Pedestrian Detection Algorithm for Intelligent Vehicles in Complex Scenarios.

Cao, Jingwei; Song, Chuanxue; Peng, Silun; Song, Shixin; Zhang, Xu; Shao, Yulong; Xiao, Feng

Cao, Jingwei; Song, Chuanxue; Peng, Silun; Song, Shixin; Zhang, Xu; Shao, Yulong; Xiao, Feng.

Afiliación

Cao J; State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
Song C; State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
Peng S; State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
Song S; Taizhou Automobile Power Transmission Research Institute, Jilin University, Taizhou 225322, China.
Zhang X; School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China.
Shao Y; State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China.
Xiao F; Taizhou Automobile Power Transmission Research Institute, Jilin University, Taizhou 225322, China.

Sensors (Basel) ; 20(13)2020 Jun 29.

Article en En | MEDLINE | ID: mdl-32610635

Palabras clave

YOLOv3; convolutional neural network; driving assistance; intelligent vehicle; pedestrian detection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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