• Laser & Optoelectronics Progress
  • Vol. 58, Issue 4, 0410020 (2021)
Li Zhang1, Danping Huang1、*, Shipeng Liao2, Shaodong Yu1、3, Jianqiu Ye1, Xin Wang1, and Na Dong1
Author Affiliations
  • 1School of Mechanical Engineering, Sichuan University of Science & Engineering, Yibin, Sichuan 644000, China;
  • 2Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu, Sichuan 610041, China
  • 3School of Mechanical Engineering, Sichuan University, Chengdu, Sichuan 610065, China
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    DOI: 10.3788/LOP202158.0410020 Cite this Article Set citation alerts
    Li Zhang, Danping Huang, Shipeng Liao, Shaodong Yu, Jianqiu Ye, Xin Wang, Na Dong. Wheelset Tread Defect Detection Method Based on Target Detection Network[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410020 Copy Citation Text show less
    References

    [1] Cong T, Han J M, Zhang G Z et al. Analysis of micro damage factors of shattered rim and tread shelling of railway wheel[J]. China Railway Science, 38, 93-99(2017).

    [2] Guo Q, Cui J Y, Zhang Z F. Overview of measurement method for wheels of railway vehicles[J]. Chinese Journal of Scientific Instrument, 27, 1125-1127(2006).

    [3] Lü H B. Research on damaged tread detection of train wheel set under machine vision[D]. Nanjing: Nanjing University of Aeronautics and Astronautics(2017).

    [4] Wang Y S, Ma Z Q, Song Z B et al. Wheel tread area extraction based on image distortion correction[J]. Journal of Graphics, 39, 432-439(2018).

    [5] Pu F P, Zhao J, An Z. Recognition and extraction of wheel cracks based on machine vision[J]. Journal of Railway Science and Engineering, 15, 2113-2122(2018).

    [6] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

    [7] Redmon J, Divvala S, Girshick R, real-time object detection[EB/OL] et al. -05-09)[2020-07-09]. https:∥arxiv., org/abs/1506, 02640(2016).

    [8] 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. Cham: Springer, 9905, 21-37(2016).

    [9] Fan L L, Zhao H W, Zhao H Y et al. Survey of target detection based on deep convolutional neural networks[J]. Optics and Precision Engineering, 28, 1152-1164(2020).

    [10] Meng L, Sun X Y, Zhao B et al. An identification method of high-speed railway sign based on convolutional neural network[J]. Acta Automatica Sinica, 46, 518-530(2020).

    [11] Tao L, Hong T, Chao X. UAV recognition and location tracking based on YOLOv3[J]. Journal of Engineering Science, 42, 463-468(2020).

    [12] Redmon J. -04-08)[2020-07-09]. https:∥arxiv., org/abs/1804, 02767(2018).

    [13] Ju M R, Luo H B, Wang Z B et al. Improved YOLO V3 algorithm and its application in small target detection[J]. Acta Optica Sinica, 39, 0715004(2019).

    [14] Wei X K, Yang Z M, Liu Y X et al. Railway track fastener defect detection based on image processing and deep learning techniques: a comparative study[J]. Engineering Applications of Artificial Intelligence, 80, 66-81(2019). http://www.sciencedirect.com/science/article/pii/S0952197619300089

    [15] Qiang W, He Y Y, Guo Y J et al. Research on underwater target detection algorithm based on improved SSD[J]. Journal of Northwestern Polytechnical University, 38, 747-754(2020).

    [16] Li J H, Lin L J, Tian K et al. Improved Faster R-CNN for field balsam pear disease detection[J]. Transactions of the Chinese Society of Agricultural Engineering, 36, 179-185(2020).

    [17] Zhao B, Wang C P, Fu Q et al. Multi-scale infrared pedestrian detection based on deep attention mechanism[J]. Acta Optica Sinica, 40, 0504001(2020).

    [18] Huang D P, Liao S P, Yu S D et al. Research on automatic counting system corrugated paper board based on machine vision[J]. Journal of Mechanical Engineering, 53, 79-86(2017).

    [19] Zhao X F, Xu M Y, Wang D P et al. Infrared camouflage detection method for special vehicles based on improved SSD[J]. Infrared and Laser Engineering, 48, 1104003(2019).

    [20] Zhong Y Y, Wang J F, Peng J et al[2020-07-09]. Anchor box optimization for object detection [2020-07-09].https:∥arxiv.org/pdf/1812.00469.pdf..

    [21] Kanungo T, Mount D M, Netanyahu N S et al. An efficient k-means clustering algorithm:analysis and implementation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 881-892(2002). http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=6907833&site=ehost-live

    [22] Shi W X, Tan D L, Bao S L. Feature enhancement SSD algorithm and its application in remote sensing images target detection[J]. Acta Photonica Sinica, 49, 0128002(2020).

    Li Zhang, Danping Huang, Shipeng Liao, Shaodong Yu, Jianqiu Ye, Xin Wang, Na Dong. Wheelset Tread Defect Detection Method Based on Target Detection Network[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410020
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