• Infrared and Laser Engineering
  • Vol. 51, Issue 4, 20210183 (2022)
Zhiyang Wu1、2、3, Shuang Wang1、2、3、*, Tiegen Liu1、2、3, and Dangpeng Jin4
Author Affiliations
  • 1School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
  • 2Key Laboratory of Optoelectronics Information Technology, Ministry of Education, Tianjin University, Tianjin 300072, China
  • 3Tianjin Optical Fiber Sensing Engineering Center, Institute of Optical Fiber Sensing, Tianjin University, Tianjin 300072, China
  • 4Tian He Mechanical Equipment Manufacturing Co. Ltd, Changshu 215500, China
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    DOI: 10.3788/IRLA20210183 Cite this Article
    Zhiyang Wu, Shuang Wang, Tiegen Liu, Dangpeng Jin. Automatic assembly positioning method of shield tunnel segments based on deep learning vision and laser assistance[J]. Infrared and Laser Engineering, 2022, 51(4): 20210183 Copy Citation Text show less
    References

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    [2] M Wada. Automatic segment erection system for shield tunnels. Advanced Robotics, 5, 429-443(1990).

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    [4] Wu Z, Zhang L, Wang S, et al. Automatic segment assembly method of shield tunneling machine based on multiple optoelectronic senss[C]International Conference on Optical Instruments Technology 2019: Optical Sens Applications, 2019, 11436: 14360U.

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    [12] Li X., Li H., Lin Y., et al. Learning-based denoising for polarimetric images. Opt Express, 28, 16309-16321(2020).

    [13] Y Zhang, Y Tian, Y Kong, et al. Residual dense network for image restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 2480-2495(2021).

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    Zhiyang Wu, Shuang Wang, Tiegen Liu, Dangpeng Jin. Automatic assembly positioning method of shield tunnel segments based on deep learning vision and laser assistance[J]. Infrared and Laser Engineering, 2022, 51(4): 20210183
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