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Inicio  /  Applied Sciences  /  Vol: 13 Par: 11 (2023)  /  Artículo
ARTÍCULO
TITULO

An Improved YOLOv7 Model Based on Visual Attention Fusion: Application to the Recognition of Bouncing Locks in Substation Power Cabinets

Yang Wang    
Xiaofeng Zhang    
Longmei Li    
Liming Wang    
Ziyang Zhou and Peng Zhang    

Resumen

This work can be applied to the task of environmental perception of a mobile manipulator based on visual guidance, such as opening a spring lock to open a door in the dangerous environment of a substation.

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