• Acta Optica Sinica
  • Vol. 38, Issue 8, 0815028 (2018)
Liming Zhao*, Chuan Ye, Yi Zhang, Xiaodong Xu, and Jing Chen
Author Affiliations
  • Robotics and Advanced Manufacturing Research Center, School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    DOI: 10.3788/AOS201838.0815028 Cite this Article Set citation alerts
    Liming Zhao, Chuan Ye, Yi Zhang, Xiaodong Xu, Jing Chen. Path Recognition Method of Robot Vision Navigation in Unstructured Environments[J]. Acta Optica Sinica, 2018, 38(8): 0815028 Copy Citation Text show less
    Method for determining best image definition
    Fig. 1. Method for determining best image definition
    Design of test platform for mobile robot visual navigation
    Fig. 2. Design of test platform for mobile robot visual navigation
    Image definition characteristics under different CCD optical integration time. (a) 5 ms; (b) 15 ms; (c) 50 ms; (d) 90 ms
    Fig. 3. Image definition characteristics under different CCD optical integration time. (a) 5 ms; (b) 15 ms; (c) 50 ms; (d) 90 ms
    Image definition characteristics under different CCD defocus statuses. (a) Defocused status 1; (b) defocused status 2; (c) defocused status 3; (d) defocused status 4
    Fig. 4. Image definition characteristics under different CCD defocus statuses. (a) Defocused status 1; (b) defocused status 2; (c) defocused status 3; (d) defocused status 4
    Response curves of best image definition under different CCD optical integration time. (a) TenenGrad; (b) average gradient; (c) information entropy
    Fig. 5. Response curves of best image definition under different CCD optical integration time. (a) TenenGrad; (b) average gradient; (c) information entropy
    Response curves of best image definition under different CCD defocus statuses. (a) TenenGrad; (b) average gradient; (c) information entropy
    Fig. 6. Response curves of best image definition under different CCD defocus statuses. (a) TenenGrad; (b) average gradient; (c) information entropy
    Comparison of response results of definition calculation under different image definition evaluation functions. (a) Sequence of image definition change; (b) response results of definition evaluation functions
    Fig. 7. Comparison of response results of definition calculation under different image definition evaluation functions. (a) Sequence of image definition change; (b) response results of definition evaluation functions
    Fuzzy connectedness between two points of a and b in α-adjacent affinity function
    Fig. 8. Fuzzy connectedness between two points of a and b in α-adjacent affinity function
    Delineation method of target and background area based on relative fuzzy connectedness
    Fig. 9. Delineation method of target and background area based on relative fuzzy connectedness
    Reclassification method of pixels in undefined area of images in F-R model
    Fig. 10. Reclassification method of pixels in undefined area of images in F-R model
    Flow chart of ROI detection based on fuzzy-rough set model
    Fig. 11. Flow chart of ROI detection based on fuzzy-rough set model
    ROI segmentation and comparison experiment of image ROI. (a) CCD high definition image; (b) original gray image; (c) result by K-means clustering algorithm(k=2); (d) result by watershed algorithm
    Fig. 12. ROI segmentation and comparison experiment of image ROI. (a) CCD high definition image; (b) original gray image; (c) result by K-means clustering algorithm(k=2); (d) result by watershed algorithm
    Navigation path recognition result based on F-R model. (a) Seed definition area; (b) final ROI
    Fig. 13. Navigation path recognition result based on F-R model. (a) Seed definition area; (b) final ROI
    Comparison of navigation path recognition results based on F-R model
    Fig. 14. Comparison of navigation path recognition results based on F-R model
    Path navigation trajectory of mobile robot. (a) Test paths; (b) robot walking control
    Fig. 15. Path navigation trajectory of mobile robot. (a) Test paths; (b) robot walking control
    Path navigation trajectory of mobile robot.(a) Path 1; (b) path 2
    Fig. 16. Path navigation trajectory of mobile robot.(a) Path 1; (b) path 2
    Liming Zhao, Chuan Ye, Yi Zhang, Xiaodong Xu, Jing Chen. Path Recognition Method of Robot Vision Navigation in Unstructured Environments[J]. Acta Optica Sinica, 2018, 38(8): 0815028
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