Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1410025(2021)

Road Surface Disease Detection Algorithm Based on Improved YOLOv4

Hui Luo, Chen Jia*, and Jian Li
Author Affiliations
  • School of Information Engineering, East China JiaoTong University, Nanchang, Jiangxi 330013, China
  • show less
    References(26)

    [1] Bai C L. Types and causes analysis of highway surface diseases[J]. Science & Technology Vision, 244-245(2015).

    [2] Li L F, Sun R Y. Bridge crack detection algorithm based on image processing under complex background[J]. Laser & Optoelectronics Progress, 56, 061002(2019).

    [4] Zhang L, Yang F, Zhang Y M et al. Road crack detection using deep convolutional neural network[C]. //2016 IEEE International Conference on Image Processing (ICIP), September 25-28, 2016, Phoenix, AZ, USA., 3708-3712(2016).

    [8] Zhang N. Study on detection algorithm for road surface disease based on Faster R-CNN[D], 39-44(2019).

    [9] 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).

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

    [11] Ren S, He K, 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).

    [12] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 936-944(2017).

    [13] Redmon J, Divvala S, Girshick R et al. Youonly 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).

    [14] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M], 21-37(2016).

    [15] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 6517-6525(2017).

    [19] Wang C Y, Mark Liao H Y, Wu Y H et al. CSPNet: a new backbone that can enhance learning capability of CNN[C]. //2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 14-19, 2020, Seattle, WA, USA, 1571-1580(2020).

    [21] Liu S, Qi L, Qin H F et al. Path aggregation network for instance segmentation[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 8759-8768(2018).

    [22] Zheng Z H, Wang P, Liu W et al. Distance-IoU loss: faster and better learning for bounding box regression[J]. AAAI-20 Technical Tracks, 34, 12993-13000(2020).

    [23] Yang F, Zhang L, Yu S J et al. Feature pyramid and hierarchical boosting network for pavement crack detection[J]. IEEE Transactions on Intelligent Transportation Systems, 21, 1525-1535(2020).

    Tools

    Get Citation

    Copy Citation Text

    Hui Luo, Chen Jia, Jian Li. Road Surface Disease Detection Algorithm Based on Improved YOLOv4[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410025

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Aug. 17, 2020

    Accepted: Sep. 30, 2020

    Published Online: Jul. 6, 2021

    The Author Email: Jia Chen (jc_ecjtu@163.com)

    DOI:10.3788/LOP202158.1410025

    Topics