Loader Bucket Working Angle Identification Method Based on YOLOv5s and EMA Attention Mechanism

Loader Bucket Working Angle Identification Method Based on YOLOv5s and EMA Attention Mechanism

In response to the issues of low recognition efficiency and large errors encountered in the process of identifying the working angle of the bucket during current automated loader construction operations, a method based on YOLOv5s and the EMA attention mechanism for loader bucket working angle identi...

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Bibliographic Details
Main Authors: Xuedong Zhang, Bo Cui, Zhaoxu Wang, Wangting Zeng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Angle identification
YOLOv5s
small object detection
attention mechanism
depth separable convolution
Online Access:https://ieeexplore.ieee.org/document/10613619/
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