一种应用于大视场光学测量的相机自动标定系统
By combining incremental PID control, rotation angle optimization, GPU-accelerated RTAB-MAP algorithm and ant colony-artificial potential field algorithm, efficient and high-precision automatic calibration of large field-of-view optical measurement cameras is achieved, solving the problems of long time consumption and low accuracy in existing technologies, and meeting the high efficiency and high precision requirements of engineering practice.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHEAST UNIV
- Filing Date
- 2024-03-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing camera calibration methods in large field-of-view optical measurements are time-consuming, inefficient, and lack precision. They are also cumbersome to operate manually and cannot meet the high efficiency and high precision requirements of engineering practice.
The calibration board mobile platform achieves autonomous navigation and efficient calibration by employing chassis motion control based on incremental PID control, a corner optimization program, a GPU-accelerated RTAB-MAP algorithm, and an ant colony-artificial potential field algorithm for path planning.
It achieves precise adjustment of the calibration plate's pose, shortens calibration time by 48.9%, reduces reprojection error by 58.9%, improves calibration efficiency and accuracy, and meets the high efficiency and high precision requirements of engineering practice.
Smart Images
Figure CN118521649B_ABST