PDNet: Improved YOLOv5 Nondeformable Disease Detection Network for Asphalt Pavement

In the daily inspection task of the expressway, accuracy and speed are the two most important indexes to reflect the detection efficiency of nondeformation diseases of asphalt pavement. To achieve model compression, accelerated detection, and accurate identification under multiscale conditions, a li...

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Detalles Bibliográficos
Autores principales: Yang, Zhen, Li, Lin, Luo, Wenting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283017/
https://www.ncbi.nlm.nih.gov/pubmed/35845879
http://dx.doi.org/10.1155/2022/5133543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283017/
https://www.ncbi.nlm.nih.gov/pubmed/35845879
http://dx.doi.org/10.1155/2022/5133543

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