• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1610010 (2021)
Yongshun Wang, Wenjie Jia*, Chenfei Wang, and Hui Song
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    DOI: 10.3788/LOP202158.1610010 Cite this Article Set citation alerts
    Yongshun Wang, Wenjie Jia, Chenfei Wang, Hui Song. Vehicle Recognition Method Based on Improved YOLOv3 Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610010 Copy Citation Text show less
    Single-scale detection network
    Fig. 1. Single-scale detection network
    Feature pyramid network
    Fig. 2. Feature pyramid network
    Improved multi-scale YOLOv3 structure
    Fig. 3. Improved multi-scale YOLOv3 structure
    Dilated convolution and traditional convolution. (a) Dilated convolution; (b) traditional convolution
    Fig. 4. Dilated convolution and traditional convolution. (a) Dilated convolution; (b) traditional convolution
    Three examples of vehicles. (a) Truck; (b) Van; (c) Car
    Fig. 5. Three examples of vehicles. (a) Truck; (b) Van; (c) Car
    Relationship between training times and loss value
    Fig. 6. Relationship between training times and loss value
    Detection comparison of improved YOLOv3 and original YOLOv3.(a)(c)(e) Improved YOLOv3; (b)(d)(f) YOLOv3
    Fig. 7. Detection comparison of improved YOLOv3 and original YOLOv3.(a)(c)(e) Improved YOLOv3; (b)(d)(f) YOLOv3
    Comparison of dilated convolution and traditional convolution. (a) Dilated convolution; (b) traditional convolution
    Fig. 8. Comparison of dilated convolution and traditional convolution. (a) Dilated convolution; (b) traditional convolution
    MethodsRelative improvement/%
    mAPAP75
    Faster RCNN1.900.78
    SSD0.842.59
    Table 1. Comparison of experimental results of CIoU on SSD and Faster RCNN
    AlgorithmInput sizeFPS /(frame·s-1)mAP /%
    Faster RCNN600×60011.6376.90
    YOLOv2416×416114.2669.48
    YOLOv3416×41648.6091.58
    SSD512512×51227.6979.70
    Improved YOLOv3416×41644.1095.78
    Table 2. Performance comparison of various algorithms
    Yongshun Wang, Wenjie Jia, Chenfei Wang, Hui Song. Vehicle Recognition Method Based on Improved YOLOv3 Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610010
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