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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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Principais autores: Yanyan Chen, Xiangrui Meng, Chaoyu Yang, Yijuan Wang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-05-01
Serier:Applied Sciences
Fag:
underground coal mine
object detection
YOLOv11n
low-light image enhancement
attention mechanism
multi-scale feature fusion
Online adgang:https://www.mdpi.com/2076-3417/16/10/4983
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