An Accurate and Convenient Method of Vehicle Spatiotemporal Distribution Recognition Based on Computer Vision.

Chen, Zhiwei; Feng, Yuliang; Zhang, Yao; Liu, Jiantao; Zhu, Cixiang; Chen, Awen

Chen, Zhiwei; Feng, Yuliang; Zhang, Yao; Liu, Jiantao; Zhu, Cixiang; Chen, Awen.

Afiliação

Chen Z; School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China.
Feng Y; Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, Department of Civil Engineering, Xiamen University, Xiamen 361005, China.
Zhang Y; School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China.
Liu J; School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China.
Zhu C; Fujian Key Laboratory of Digital Simulations for Coastal Civil Engineering, Department of Civil Engineering, Xiamen University, Xiamen 361005, China.
Chen A; Xiamen Port Holding Group Co., Ltd., Xiamen 361012, China.

Sensors (Basel) ; 22(17)2022 Aug 26.

Article em En | MEDLINE | ID: mdl-36080894

Assuntos

Computadores; Projetos de Pesquisa; Reprodutibilidade dos Testes

Palavras-chave

computer vision; field measurement; pose estimation; vehicle spatiotemporal information

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Computadores Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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