为减轻轨检车振动对车载视觉测量系统动态测量钢轨轮廓的不利影响，提出一种基于轮廓曲线特征点和最近点迭代算法ICP(Iterative Closest Point)的数据校准方法。通过识别动态轮廓曲线的特征点，完成数据初步校准，然后利用ICP算法确定初步校准数据与标准数据之间的变换矩阵，实现动态数据最终校准。最后通过实验模拟了振动对测量的影响。实验结果表明：在垂磨和侧磨测量点处，校准后数据与标准数据偏差值的标准差分别为0.088 mm、0.085 mm，取置信水平为0.99时，校正精度分别为±0.227 mm、±0.219 mm，该方法有较好的精度，可应用于工程测量。%To alleviate adverse effects of track inspection car vibration on car￣mounted vision measurement system while measuring rail profile dynamically,a data calibration method based on profile curve feature point and iterative closest point( ICP ) algorithm is proposed. Dynamic data is calibrated preliminarily by identifying the profile curve feature point,and then the transformation matrix between the preliminarily calibrated data and the standard data is determined by ICP algorithm,finally the data calibration is completed. The impact of vibration on measurement is simulated in the experiment,and then the deviation value between the calibrated data and the standard data is meas￣ured at both vertical and horizontal wear measuring points,standard deviation respectively 0. 088 mm,0. 085 mm,take 0. 99 confidence level,precision respectively ± 0. 227 mm,± 0. 219 mm. Experimental results show that the method has good repeatability precision,can be applied to engineering measurements.
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