中国激光, 2020, 47 (11): 1104006, 网络出版: 2020-10-23   

基于ROI-RSICP算法的车轮廓形动态检测 下载: 931次

Dynamic Inspection of Wheel Profile Based on ROI-RSICP Algorithm
作者单位
1 中南大学交通运输工程学院, 湖南 长沙 410075
2 汉阳大学机械工程学院, 首尔04763, 韩国
摘要
在车轮廓形动态检测过程中,线激光传感器只能安装在轨道旁作业,线激光测量平面与车轮表面交线无法通过车轮轮心,导致采集到的大量车轮廓形数据存在仿射畸变,难以用传统迭代最近邻(ICP)算法进行准确匹配,测量精确性与鲁棒性难以保证。提出了一种基于感兴趣域的加权尺度迭代最近邻 (ROI-RSICP) 算法,对存在仿射畸变的磨耗车轮廓形实现了精确测量。首先,根据车轮廓形磨耗特征和大量磨耗车轮数据,采用PointNet深度学习网络,将采集的车轮廓形点集分成磨耗感兴趣区域(ROI)和非磨耗区域;然后,通过对磨耗ROI和非磨耗区域赋予不同权重值,提出了ROI-RSICP方法,并实现了仿射畸变磨耗车轮廓形与标准廓形的精确配准;最后,通过Hausdorff距离算法实现了车轮磨耗可视化处理。实验对比了ICP算法、Scaling ICP算法、ROI-RSICP算法以及第四种检查器的测量结果,验证了所提算法对仿射畸变磨耗车轮廓形动态检测的可行性。
Abstract
As the line laser sensor can be only installed beside rails during dynamic inspection, it cannot ensure the intersection line of line laser measurement plane and wheel surface to be through wheel center, which causes the affine distortion of large number of wheel profiles and makes it difficult to use the traditional iterative closest point (ICP) algorithm to register the measured profile and to ensure the accuracy and robustness of measurement. In this paper, an algorithm of reweighted scaling iterative closest point based on region of interest (ROI-RSICP) is proposed to achieve accurate registration of worn wheel profiles with affine distortion. First, according to the wear characteristics of wheel profiles and a large number of worn wheel profile data, the PointNet deep learning network is adopted to divide the collected wheel profile point sets into two parts: wear region of interest (ROI) and non-wear part. Then, the ROI-RSICP method is proposed by assigning different values of weight to ROI and non-wear part to achieve accurate registration of the worn wheel profiles with affine distortion and the standard wheel profiles. Finally, the Hausdorff distance algorithm is used to visualize the wheel profile wear. The results of ICP algorithm, scaling ICP algorithm, ROI-RSICP algorithm and the 4th kind of inspector are compared in the experiment, which verifies the superiority of the proposed algorithm for dynamic inspection of worn wheel profiles with affine distortion.

易倩, 钟浩宇, 刘龙, 刘文龙, 易兵. 基于ROI-RSICP算法的车轮廓形动态检测[J]. 中国激光, 2020, 47(11): 1104006. Yi Qian, Zhong Haoyu, Liu Long, Liu Wenlong, Yi Bing. Dynamic Inspection of Wheel Profile Based on ROI-RSICP Algorithm[J]. Chinese Journal of Lasers, 2020, 47(11): 1104006.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!