LLE-YOLO: Adaptive Low-Light-Enhanced and Degradation-Aware Multi-Scale Attention Network for Miner Detection in Underground Coal Mines

Underground coal mine environments commonly suffer from insufficient illumination, high dust concentrations, and cluttered backgrounds, which substantially degrade the accuracy of conventional object detection algorithms. To address these issues, this paper proposes LLE-YOLO, a detection network bui...

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Bibliographic Details

Main Authors:	Yanyan Chen, Xiangrui Meng, Chaoyu Yang, Yijuan Wang
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2026-05-01
Series:	Applied Sciences
Subjects:	underground coal mine object detection YOLOv11n low-light image enhancement attention mechanism multi-scale feature fusion
Online Access:	https://www.mdpi.com/2076-3417/16/10/4983
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