Laser & Optoelectronics Progress, Volume. 56, Issue 20, 201006(2019)

Low-Altitude UAV Detection and Recognition Method Based on Optimized YOLOv3

Qi Ma1,2、*, Bin Zhu1,2、**, Hongwei Zhang1,2、***, Yang Zhang1,2, and Yuchen Jiang1,2
Author Affiliations
  • 1State Key Laboratory of Pulsed Power Laser Technology, College of Electronic Engineering, National University of Defense Technology, Hefei, Anhui 230037, China
  • 2National University of Defense Technology, Hefei, Anhui 230037, China
  • show less
    References(17)

    [1] Zhao Y Y, Chang J D[J]. Detection and handling of drones in low altitude airspace Electronic Warfare, 2016, 44-49.

    [3] Wang T J, Huang W N, Fan Z X et al[J]. Research on the methods of UAV detection technology China Radio, 2017, 57-58.

    [4] Nguyen P, Ravindranatha M, Nguyen A et al. Investigating cost-effective RF-based detection of drones. [C]∥Proceedings of the 2nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use, June 26-26, 2016, Singapore. New York: ACM, 17-22(2016).

    [6] Klare J, Biallawons O, Cerutti-Maori D. Detection of UAVs using the MIMO radar MIRA-CLE Ka. [C]∥Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, June 6-9, 2016, Hamburg, Germany. Germany: VDE, 731-734(2016).

    [7] Rozantsev A, Lepetit V, Fua P. Flying objects detection from a single moving camera. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 4128-4136(2015).

    [8] Martínez C, Mondragón I F. Olivares-Méndez M A, et al. On-board and ground visual pose estimation techniques for UAV control[J]. Journal of Intelligent & Robotic Systems, 61, 301-320(2011).

    [10] Dai J F, Li Y, He K M et al. R-FCN: object detection via region-based fully convolutional networks. [C]∥Proceedings of the 30th International Conference on Neural Information Processing Systems, December 5-10, 2016, Barcelona, Sapin. New York: Curran Associates Inc., 379-387(2016).

    [11] 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).

    [12] 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. New York: IEEE, 779-788(2016).

    [13] Redmon J. -04-08)[2019-03-10]. https:∥arxiv., org/abs/1804, 02767(2018).

    [14] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

    [15] Ioffe S, Szegedy C[2019-03-10]. Batch normalization: accelerating deep network training by reducing internal covariate shift [2015-03-02][2019-03-10].https:∥arxiv., org/abs/1502, 03167.

    Tools

    Get Citation

    Copy Citation Text

    Qi Ma, Bin Zhu, Hongwei Zhang, Yang Zhang, Yuchen Jiang. Low-Altitude UAV Detection and Recognition Method Based on Optimized YOLOv3[J]. Laser & Optoelectronics Progress, 2019, 56(20): 201006

    Download Citation

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

    Category: Image Processing

    Received: Apr. 12, 2019

    Accepted: May. 20, 2019

    Published Online: Oct. 22, 2019

    The Author Email: Qi Ma (905303927@qq.com), Bin Zhu (zhubineei@163.com), Hongwei Zhang (zhw25055@163.com)

    DOI:10.3788/LOP56.201006

    Topics