Pavement crack detection based on point cloud data and data fusion.

Dong, Qiao; Wang, Sike; Chen, Xueqin; Jiang, Wanqi; Li, Ruiqi; Gu, Xingyu

Dong, Qiao; Wang, Sike; Chen, Xueqin; Jiang, Wanqi; Li, Ruiqi; Gu, Xingyu.

Afiliación

Dong Q; Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing 211189, People's Republic of China.
Wang S; Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing 211189, People's Republic of China.
Chen X; Department of Civil Engineering, College of Science, Nanjing University of Science and Technology, Nanjing, Xuanwu District 210094, People's Republic of China.
Jiang W; Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing 211189, People's Republic of China.
Li R; Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing 211189, People's Republic of China.
Gu X; Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing 211189, People's Republic of China.

Philos Trans A Math Phys Eng Sci ; 381(2254): 20220165, 2023 Sep 04.

Article en En | MEDLINE | ID: mdl-37454693

Palabras clave

Yolov5; asphalt pavement; crack detection; deep learning; point cloud

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

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