A Real-Time Obstacle Detection Framework for Gantry Cranes Using Attention-Augmented YOLOv5s and EIoU Optimization
To meet the need for efficient and precise detection of people and obstacles in the actual operating environment of a gantry crane, a detection model based on an improved YOLOv5s was proposed which incorporates the parameter-free SimAM attention mechanism to enhance obstacle feature extraction capab...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2026-01-01
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| Colección: | Machines |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2075-1702/14/2/153 |
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