Detection of Farmland Obstacles Based on an Improved YOLOv5s Algorithm by Using CIoU and Anchor Box Scale Clustering

It is necessary to detect multi-type farmland obstacles in real time and accurately for unmanned agricultural vehicles. An improved YOLOv5s algorithm based on the K-Means clustering algorithm and CIoU Loss function was proposed to improve detection precision and speed up real-time detection. The K-M...

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Detalles Bibliográficos
Autores principales: Xue, Jinlin, Cheng, Feng, Li, Yuqing, Song, Yue, Mao, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915062/
https://www.ncbi.nlm.nih.gov/pubmed/35270935
http://dx.doi.org/10.3390/s22051790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915062/
https://www.ncbi.nlm.nih.gov/pubmed/35270935
http://dx.doi.org/10.3390/s22051790

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