中国激光, 2020, 47 (9): 0904005, 网络出版: 2020-09-16   

RC-IRLSCF方法及服役车轮踏面线激光检测应用 下载: 791次

RC-IRLSCF Method and Application of Laser Detection of Tread Line of Service Wheel
作者单位
中南大学交通运输工程学院, 湖南 长沙 410075
摘要
针对线激光位移传感器采集的圆弧特征数据对应整圆的角度偏小、特征点存在噪声及离群点等严重影响圆中心定位精度的问题,提出半径约束迭代重加权最小二乘圆拟合(RC-IRLSCF)方法。为了克服既有圆弧特征检测过程中存在的噪声及离群点对检测精度的影响,构建基于半径约束及鲁棒损失函数的圆拟合目标优化模型,采用迭代重加权与Levenberg-Marquardt算法渐进优化求解模型,实现圆弧特征的精确拟合与定位。通过服役车轮踏面检测实验表明:利用线激光检测轮廓圆弧特征,在光散射和局部变形等原因产生邻近离群点的条件下,所提方法可实现圆弧的精确拟合与定位,具有一定的鲁棒性与抗噪性。
Abstract
Herein, a radius-constrained iterative reweighted least squares circle fitting (RC-IRLSCF) method is proposed to address the problems of very small angle of the circle corresponding to arc characteristic data collected by the line laser displacement sensor, noise and outliers in the characteristic points, and others, which seriously affect the positioning accuracy of the circle center. To overcome the influence of noise and outliers on detection accuracy during the detection of existing arc features, a circle-fitting target optimization model based on radius constraints and robust loss function is constructed using iterative reweighting and Levenberg-Marquardt algorithm to further optimize the solution and achieve accurate fitting and positioning of arc features. The detection experiment of the service wheel tread surface shows the use of line laser in detecting contour arc characteristics. Moreover, the proposed method can realize accurate fitting and positioning of the arc under the condition that light scattering and local deformation produce adjacent outliers, with a certain degree of robustness and noise resistance.

李淼成, 杨岳, 易兵, 刘龙. RC-IRLSCF方法及服役车轮踏面线激光检测应用[J]. 中国激光, 2020, 47(9): 0904005. Li Miaocheng, Yang Yue, Yi Bing, Liu Long. RC-IRLSCF Method and Application of Laser Detection of Tread Line of Service Wheel[J]. Chinese Journal of Lasers, 2020, 47(9): 0904005.

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