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August 20, 2025SensorsOpen Access

Mine-DW-Fusion: BEV Multiscale-Enhanced Fusion Object-Detection Model for Underground Coal Mine Based on Dynamic Weight Adjustment

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Authors

WYWanzi YanChina University of Mining and TechnologyYZYidong ZhangChina University of Mining and TechnologyMXMinti XueChina University of Mining and Technology

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Overview

This object-detection model improves accuracy in coal mine environments, highlighting challenges in multimodal sensor data fusion.

Key Points

  • The proposed model demonstrates enhanced accuracy in object-detection tasks under complex coal mine conditions, especially with sensor data abnormalities.
  • Experimental results indicate robust detection performance in low light and dusty environments, addressing significant environmental challenges in underground settings.
  • The study utilizes a multimodal dataset for training, ensuring that different modality data is effectively evaluated for reliability.
  • The innovative use of dynamic weight adjustment and multiscale feature enhancement ensures reliable performance across varied conditions.

Cite This Study

Yan et al. (2025) studied this question.

synapsesocial.com/papers/68af4cdfad7bf08b1ead67bdhttps://doi.org/10.3390/s25165185
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