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...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Yanyan Chen, Xiangrui Meng, Chaoyu Yang, Yijuan Wang
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2026-05-01
Rangatū:	Applied Sciences
Ngā marau:	underground coal mine object detection YOLOv11n low-light image enhancement attention mechanism multi-scale feature fusion
Urunga tuihono:	https://www.mdpi.com/2076-3417/16/10/4983
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!