• Laser & Optoelectronics Progress
  • Vol. 57, Issue 9, 091203 (2020)
Xiaoli Hu, Minggang Tang*, and Haiying Wu
Author Affiliations
  • Huayin Ordnance Test Center, Huayin, Shaanxi 714200, China
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    DOI: 10.3788/LOP57.091203 Cite this Article Set citation alerts
    Xiaoli Hu, Minggang Tang, Haiying Wu. A Pose Information Acquisition Method Based on Characteristic Line Intersection Analysis[J]. Laser & Optoelectronics Progress, 2020, 57(9): 091203 Copy Citation Text show less
    Composition of relative posture relations of characteristic lines
    Fig. 1. Composition of relative posture relations of characteristic lines
    Sub-station images from sequence images. (a) Sub-station 1; (b) sub-station 2
    Fig. 2. Sub-station images from sequence images. (a) Sub-station 1; (b) sub-station 2
    Comparison of pose results between classified linear analysis methods and proposed method. (a) Comparison of yaw angle; (b) comparison of pitch angle; (c) comparison of roll angle
    Fig. 3. Comparison of pose results between classified linear analysis methods and proposed method. (a) Comparison of yaw angle; (b) comparison of pitch angle; (c) comparison of roll angle
    Relationship between attitude angle error and endpoint location error. (a) Relationship between yaw angle error and endpoint location error; (b) relationship between endpoint location error and k variation
    Fig. 4. Relationship between attitude angle error and endpoint location error. (a) Relationship between yaw angle error and endpoint location error; (b) relationship between endpoint location error and k variation
    Effect of inaccuracy of direction vector on attitude angle error
    Fig. 5. Effect of inaccuracy of direction vector on attitude angle error
    Time No.1234
    Line length /pixel74.481.383.585.7
    k value3.993.943.873.47
    Table 1. Imaging situation at sub-station 1
    Xiaoli Hu, Minggang Tang, Haiying Wu. A Pose Information Acquisition Method Based on Characteristic Line Intersection Analysis[J]. Laser & Optoelectronics Progress, 2020, 57(9): 091203
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