• Laser & Optoelectronics Progress
  • Vol. 58, Issue 22, 2215005 (2021)
Yunzuo Zhang*, Panliang Yang, and Wenxuan Li
Author Affiliations
  • School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Hebei 050043, China
  • show less
    DOI: 10.3788/LOP202158.2215005 Cite this Article Set citation alerts
    Yunzuo Zhang, Panliang Yang, Wenxuan Li. Detection of Cable Leakage Fixture in Railway Tunnel Based on Improved SSD Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215005 Copy Citation Text show less
    References

    [1] He Y J, Song X, Li B. RFID-based video inspection plan for leaky coaxial cables in railway tunnels[J]. China Railway, 104-108(2018).

    [2] Du X Y, Chang K, Xu P F. Analysis about influence of cable trough on subgrade structure of high speed railway and optimization suggestion[J]. Railway Engineering, 59, 69-72(2019).

    [3] Yi S J. A vehicle detection system based on visual image of the cable fault[D](2015).

    [4] Duan Z J, Li S B, Hu J J et al. Review of deep learning based object detection methods and their mainstream frameworks[J]. Laser & Optoelectronics Progress, 57, 120005(2020).

    [5] Dong Y F, Zhang C T, Wang P et al. Airplane detection of optical remote sensing images based on deep learning[J]. Laser & Optoelectronics Progress, 57, 041007(2020).

    [6] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. //2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA., 580-587(2014).

    [7] Girshick R. Fast R-CNN[C]. //2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 1440-1448(2015).

    [8] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[C]. //IEEE Transactions on Pattern Analysis and Machine Intelligence, 1137-1149(2016).

    [9] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA, 779-788(2016).

    [10] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. //Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9905, 21-37(2016).

    [11] Yao W M, Wang X H, Wu N. Sewing gesture image detection method based on improved SSD model[J]. Laser & Optoelectronics Progress, 57, 181017(2020).

    [12] Yang W, Zhou K X, Liu J J et al. Method of dry and wet state recognition of pavement based on migration learning and Inception-v3 model[J]. China Sciencepaper, 14, 912-916(2019).

    [13] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions[C]. //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA.(2015).

    [14] Wang Y, Wu X F. Novel normalization algorithm for training of deep neural networks with small batch sizes[J]. Computer Science, 46, 273-276, 308(2019).

    [15] Quan Y, Li Z X, Zhang C L et al. Fusing deep dilated convolutions network and light-weight network for object detection[J]. Acta Electronica Sinica, 48, 390-397(2020).

    [16] Xu L X, Chen X J, Ban Y et al. Method for intelligent detection of parking spaces based on deep learning[J]. Chinese Journal of Lasers, 46, 0404013(2019).

    [17] Zhang Y F, Zheng Z L, Liu H W et al. A lightweight convolutional neural network architecture with slice feature map[J]. Pattern Recognition and Artificial Intelligence, 32, 237-246(2019).

    Yunzuo Zhang, Panliang Yang, Wenxuan Li. Detection of Cable Leakage Fixture in Railway Tunnel Based on Improved SSD Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215005
    Download Citation