• Laser & Optoelectronics Progress
  • Vol. 56, Issue 10, 101203 (2019)
Xuesong Gao1,2,*, Yuhao Li1,2, Liqiang Zhang1, and Zhihua Chen1,2
Author Affiliations
  • 1 School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 2 Shanghai Top Numerical Control Technology Co., Ltd., Shanghai 201111, China
  • show less
    DOI: 10.3788/LOP56.101203 Cite this Article Set citation alerts
    Xuesong Gao, Yuhao Li, Liqiang Zhang, Zhihua Chen. Precise Positioning Technology for Automatic Guided Vehicles Based on SURF Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(10): 101203 Copy Citation Text show less
    Structural model of AGV
    Fig. 1. Structural model of AGV
    Visual calibration
    Fig. 2. Visual calibration
    Coordinate model of AGV
    Fig. 3. Coordinate model of AGV
    Model of motion-compensation. (a) Schematic of image rotation; (b) coordinate relation for image rotation
    Fig. 4. Model of motion-compensation. (a) Schematic of image rotation; (b) coordinate relation for image rotation
    QR code
    Fig. 5. QR code
    Image after Gaussian filtering
    Fig. 6. Image after Gaussian filtering
    Extraction of feature points of image
    Fig. 7. Extraction of feature points of image
    Image matching results for different algorithms. (a)(b) ORB algorithm; (c)(d) SIFT algorithm; (e)(f) SURF algorithm
    Fig. 8. Image matching results for different algorithms. (a)(b) ORB algorithm; (c)(d) SIFT algorithm; (e)(f) SURF algorithm
    AGV and camera. (a) AGV; (b) camera
    Fig. 9. AGV and camera. (a) AGV; (b) camera
    Experimental data. (a) Positioning results in X axis; (b) positioning results in Y axis; (c) angular positioning results
    Fig. 10. Experimental data. (a) Positioning results in X axis; (b) positioning results in Y axis; (c) angular positioning results
    Xuesong Gao, Yuhao Li, Liqiang Zhang, Zhihua Chen. Precise Positioning Technology for Automatic Guided Vehicles Based on SURF Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(10): 101203
    Download Citation