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.

Affiliation

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 de En | MEDLINE | ID: mdl-32610635

Mots clés

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

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies / Prognostic_studies Langue: En Journal: Sensors (Basel) Année: 2020 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse

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