Multi-object detection for underground unmanned locomotives based on DYCS-YOLOv8n

Multi-object detection for underground unmanned locomotives based on DYCS-YOLOv8n

To address the challenges in underground unmanned locomotive image feature extraction—such as poor lighting, high noise, and motion blur, which result in the loss of image details and difficulty in identifying small targets—a multi-object detection model for underground unmanned locomotives based on...

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Bibliographic Details
Main Authors: XU Jinhui, WANG Wenshan, WANG Shuang, WANG Wenyue, ZHAO Tingting
Format: Article
Language:Chinese
Published: Editorial Department of Industry and Mine Automation 2025-04-01
Series:Gong-kuang zidonghua
Subjects:
underground unmanned driving
locomotive
multi-object detection
yolov8n
convolutional attention mechanism
small-object detection
dynamic upsampling
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024100036
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http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024100036

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