Laser & Optoelectronics Progress, Volume. 59, Issue 8, 0815007(2022)

Unmanned Aerial Vehicle Attitude Angle Measurement Method Based on Laser Projection and Vision

Jiabao Zhang1, Xiao Fu1、*, Fajie Duan1, Jiajia Jiang1, Chunjiang Liang1, Tianyu Li1, and Cunjun Li2
Author Affiliations
  • 1State Key Laboratory of Precision Testing Technology and Instruments, Tianjin University, Tianjin 300072, China
  • 2Zhoushan Institute of Calibration and Testing for Quality and Technology Supervision, Zhoushan , Zhejiang 316000, China
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    The attitude angle parameter of the unmanned aerial vehicle (UAV) is crucial for determining its flight performance. In the standard measurement method, the various sensors of the UAV device generated considerable data errors due to the influence of the UAV. As the existing visual measurement methods are affected by light and have limited recognition accuracy of marking spots, a method for UAV attitude angle measurement based on laser projection and vision is proposed. The three-dimensional position of the marker point in the world coordinate system is determined via the total station data, and the laser transmitter mounted on UAV emits lasers toward the front, left, and right sides of the screen, while the camera captures and calculates the displacement of the laser point on the screen in real time. Through the geometric relationship between the laser and marking points and the Rodrigues rotation formula, the attitude angle of the UAV is determined. The experimental results indicate that the calculation error of the attitude angle of the proposed method is below 0.3°, which meets the accuracy criteria for the UAV attitude angle measurement.

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    Jiabao Zhang, Xiao Fu, Fajie Duan, Jiajia Jiang, Chunjiang Liang, Tianyu Li, Cunjun Li. Unmanned Aerial Vehicle Attitude Angle Measurement Method Based on Laser Projection and Vision[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0815007

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    Paper Information

    Category: Machine Vision

    Received: Apr. 9, 2021

    Accepted: Apr. 29, 2021

    Published Online: Apr. 11, 2022

    The Author Email: Fu Xiao (fuxiao215@tju.edu.cn)

    DOI:10.3788/LOP202259.0815007

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