A lightweight algorithm based on YOLOv5 for relative position detection of hydraulic support at coal mining faces
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11554-023-01292-w.pdf
Reference19 articles.
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2. Wang, G.F.: Theory system of working face support and hydraulic roof support technology. J China Coal Soc. (2014). https://doi.org/10.13225/j.cnki.jccs.2014.9021
3. Pei, W.L., Zhang, S.S., Li, J.W.: The design and application of inspection robot for mine. Manuf Autom 2, 73–74 (2017)
4. Gao, K., Xu, W., Zhang, H., et al.: Relative position and posture detection of hydraulic support based on particle swarm optimization. IEEE Access 8, 200789–200811 (2020). https://doi.org/10.1109/ACCESS.2020.3035576
5. Zhang, Y., Zhang, H., Gao, K., et al.: New method and experiment for detecting relative position and posture of the hydraulic support. IEEE Access 7, 181842–181854 (2019). https://doi.org/10.1109/ACCESS.2019.2958981
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