High-precision visual navigation device calibration method based on collimator
This addresses calibration inefficiencies for users of visual navigation systems, but it is incremental as it builds on existing calibration techniques.
The study tackled the problem of time-consuming camera calibration and complex attitude adjustment in visual navigation devices by proposing a collimator-based method, achieving re-projection errors under 0.1463 pixels and attitude angle errors under 0.0586 degrees with high precision and robustness.
Visual navigation devices require precise calibration to achieve high-precision localization and navigation, which includes camera and attitude calibration. To address the limitations of time-consuming camera calibration and complex attitude adjustment processes, this study presents a collimator-based calibration method and system. Based on the optical characteristics of the collimator, a single-image camera calibration algorithm is introduced. In addition, integrated with the precision adjustment mechanism of the calibration frame, a rotation transfer model between coordinate systems enables efficient attitude calibration. Experimental results demonstrate that the proposed method achieves accuracy and stability comparable to traditional multi-image calibration techniques. Specifically, the re-projection errors are less than 0.1463 pixels, and average attitude angle errors are less than 0.0586 degrees with a standard deviation less than 0.0257 degrees, demonstrating high precision and robustness.