Laser & Optoelectronics Progress, Volume. 57, Issue 9, 091203(2020)

A Pose Information Acquisition Method Based on Characteristic Line Intersection Analysis

Xiaoli Hu, Minggang Tang*, and Haiying Wu
Author Affiliations
  • Huayin Ordnance Test Center, Huayin, Shaanxi 714200, China
  • show less

    To solve the problems of the lack of a model and inaccurate axis extraction of an airplane, a method for rendezvous analysis pose attainment of classified lines is proposed. In this method, first, a rotation matrix is obtained by deriving the unique correspondence between the pose definition and the progressive rotation of Euler angles in the reference coordinate system, and the lines are classified based on the carried pose information. Furthermore, a method for non-axis rendezvous analysis pose attainment, which uses the relative pose relationship between the feature line and the intersecting axis as input value for rotation transformation and obtains the rotation matrix by improving the feature line vector in the reference system, is implemented. Then, the pose rotation matrix is obtained by the modified Rodrigues transformation using the vector space relationship between the synchronous rotations of the two lines. The pose information can be analyzed using the solving time matrix. Tests show that the stability of the proposed algorithm is better than that of the model matching method, and its processing efficiency is considerably increased. Moreover, it has obvious advantages in terms of anti-occlusion, feature location, and tracking, which provides a new direction for the optical pose processing of the range.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

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

    Category: Instrumentation, Measurement and Metrology

    Received: Sep. 1, 2019

    Accepted: Sep. 20, 2019

    Published Online: May. 6, 2020

    The Author Email: Tang Minggang (huxiaoli32@163.com)

    DOI:10.3788/LOP57.091203

    Topics