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...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Bing Li, Xu Zhang, Linjian Shangguan, Linxiao Yao, Kaian Liu
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2026-01-01
श्रृंखला:	Machines
विषय:	gantry crane safety obstacle detection YOLOv5s SimAM attention mechanism EIoU loss
ऑनलाइन पहुंच:	https://www.mdpi.com/2075-1702/14/2/153
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