传感技术学报Issue(2)：221-226,6.DOI:10.3969/j.issn.1004-1699.2015.02.013
一种钢轨动态轮廓数据校准方法研究∗
Research on A Method of Calibrating Dynamic Rail Profile Data
摘要
Abstract
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.关键词
视觉测量/数据校准/车辆振动/钢轨轮廓/曲线特征点/迭代最近点匹配Key words
vision measurement/data calibration/vehicle vibration/rail profile/curve feature points/iterative closest point分类
信息技术与安全科学引用本文复制引用
康高强,李春茂,秦莉娟,马俊..一种钢轨动态轮廓数据校准方法研究∗[J].传感技术学报,2015,(2):221-226,6.基金项目
国家“863”计划项目(2011AA11A102) （2011AA11A102）
