Abstract
Line-structured light has been widely used in the field of railway measurement, owing to its high capability of anti-interference, fast scanning speed and high accuracy. Traditional calibration methods of line-structured light sensors have the disadvantages of long calibration time and complicated calibration process, which is not suitable for railway field application. In this paper, a fast calibration method based on a self-developed calibration device was proposed. Compared with traditional methods, the calibration process is simplified and the calibration time is greatly shortened. This method does not need to extract light strips; thus, the influence of ambient light on the measurement is reduced. In addition, the calibration error resulting from the misalignment was corrected by epipolar constraint, and the calibration accuracy was improved. Calibration experiments in laboratory and field tests were conducted to verify the effectiveness of this method, and the results showed that the proposed method can achieve a better calibration accuracy compared to a traditional calibration method based on Zhang’s method.
Highlights
The calibration of camera intrinsic parameters has been wildly studied [8,9,10,11,12,13]; this paper mainly focuses on the calibration of light plane parameters
The coordinates of calibration plate can represent the coordinates of the oflaser when the calibration plate plane coincides with the laser plane
A fast plane when the calibration plate plane coincides with the laser plane
Summary
A high-accuracy line-structured light sensor-based wheel size measurement system was introduced in our previous work [7]. The nonlinear optimization method is used to solve the plane feature points and the light plane equation can be fitted. High-accuracy on-site calibration of a wheel size measurement system, a new calibration method is demonstrated in this paper, and the above issues in field calibration are solved. This method shortens the calibration time, overcomes the problem caused by short depth of field, and does not need to extract laser lines, avoiding the influence of natural light.
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