Multi-Object Detection Method in Construction Machinery Swarm Operations Based on the Improved YOLOv4 Model

To handle the problem of low detection accuracy and missed detection caused by dense detection objects, overlapping, and occlusions in the scenario of complex construction machinery swarm operations, this paper proposes a multi-object detection method based on the improved YOLOv4 model. Firstly, the...

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Detalles Bibliográficos
Autores principales: Hou, Liang, Chen, Chunhua, Wang, Shaojie, Wu, Yongjun, Chen, Xiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571607/
https://www.ncbi.nlm.nih.gov/pubmed/36236393
http://dx.doi.org/10.3390/s22197294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571607/
https://www.ncbi.nlm.nih.gov/pubmed/36236393
http://dx.doi.org/10.3390/s22197294

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