An Approach to Segment and Track-Based Pedestrian Detection from Four-Layer Laser Scanner Data.

Zhang, Mingfang; Fu, Rui; Cheng, Wendong; Wang, Li; Ma, Yong

Zhang, Mingfang; Fu, Rui; Cheng, Wendong; Wang, Li; Ma, Yong.

Afiliação

Zhang M; Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China.
Fu R; Key Laboratory for Automotive Transportation Safety Enhancement Technology of the Ministry of Communication, Chang'an University, Xi'an 710064, China.
Cheng W; Key Laboratory for Automotive Transportation Safety Enhancement Technology of the Ministry of Communication, Chang'an University, Xi'an 710064, China.
Wang L; Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China.
Ma Y; Key Laboratory for Automotive Transportation Safety Enhancement Technology of the Ministry of Communication, Chang'an University, Xi'an 710064, China.

Sensors (Basel) ; 19(24)2019 Dec 11.

Article em En | MEDLINE | ID: mdl-31835659

Palavras-chave

feature correlation analysis; laser scanner; pedestrian detection; probability data association filter; track classification

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

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