An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data.

Wu, Chao; Wang, Zhen; Hu, Simon; Lepine, Julien; Na, Xiaoxiang; Ainalis, Daniel; Stettler, Marc

Wu, Chao; Wang, Zhen; Hu, Simon; Lepine, Julien; Na, Xiaoxiang; Ainalis, Daniel; Stettler, Marc.

Afiliação

Wu C; School of Public Affairs, Zhejiang University, Hangzhou 310058, China.
Wang Z; College of Software Engineering, Zhejiang University, Hangzhou 310058, China.
Hu S; ZJU-UIUC Institute, School of Civil Engineering, Zhejiang University, Haining 314400, China.
Lepine J; Department of Operations and Decision Systems, Université Laval, Quebec City, QC G1V 0A6, Canada.
Na X; Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK.
Ainalis D; Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK.
Stettler M; Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK.

Sensors (Basel) ; 20(19)2020 Sep 28.

Article em En | MEDLINE | ID: mdl-32998427

Palavras-chave

crowdsourced data; pothole detection; random forest; road quality monitoring; shock detection; support vector machine

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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: 2020 Tipo de documento: Article País de afiliação: China

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