基于面结构光的汽车仪表盘内凹多边形测量  

Concave Polygon Measurement of Automotive Instrument Panels Based on Surface Structured Light

作　　者：王重羊 周志峰 王永泉 吴明晖 Wang Chongyang;Zhou Zhifeng;Wang Yongquan;Wu Minghui(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;Shanghai Compass Satellite Navigation Technology Co.,Ltd.,Shanghai 201801,China)

机构地区：[1]上海工程技术大学机械与汽车工程学院,上海201620 [2]上海司南卫星导航技术股份有限公司,上海201801

出　　处：《应用激光》2023年第3期143-149,共7页Applied Laser

基　　金：上海市科学技术委员会科研基金(17511106700);上海市大型构件智能制造机器人技术协同创新中心2021开放基金(ZXP20211101)。

摘　　要：针对汽车仪表盘内凹六边形卡槽尺寸检测中存在人工检测速度慢、精度差等问题,提出一种基于点云数据密度提取的内凹多边形自动化测量方法。首先使用双目结构光扫描的方式,获取零件表面的点云原始数据;使用KD-tree建立点云拓扑关系并进行半径滤波;利用贪婪算法重建网格曲面;最后采用基平面偏置与密度提取融合,实现点云的边缘特征点和噪点分类,提取内凹多边形孔径特征,并计算其尺寸。选用带有内凹六边形特征的弧形汽车仪表盘零件为试验工件进行算法验证。试验结果表明,该算法可以有效提取特征且内部特征尺寸测量精度为60μm;相较于传统测量方法,单个内凹六边形测量时间可缩短至1 s,能够实现内凹型不规则工件的自动化快速尺寸测量。In view of the problems of slow manual detection speed and poor precision in the detection of the dimensions of irregular workpieces,an automatic measurement method of inner concave polygon based on point cloud data density extraction is proposed.First of all,the two-eye structure light scanning method is used to obtain the original data of the point cloud on the surface of the part.Secondly,using KD-tree to establish point cloud topology relationships and to perform radius filtering.Thirdly,using greedy algorithm to rebuilt mesh surface.Finally,the base plane bias and density extraction are used to realize the edge feature point and noise classification of the point cloud,and the dimension characteristics of the inner concave polygon aperture are extracted and the size is calculated.The algorithm is verified by the curved automobile dashboard with the characteristics of the inner concave hexagon.The experimental results show that the algorithm can extract features with limited degree and the accuracy of internal feature size measurement is 60μm.Compared to traditional measurement methods,a single inner concave hexagonal measurement time can be reduced to 1 s,enabling automated and fast dimensional measurement of irregular workpieces.

关 键 词：边缘提取 KD-TREE 密度提取 三维重建 内凹多边形尺寸测量 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]