为校准底盘部件的关键参数的一种新奇技术被建议,它利用机器视觉计量学测量集合在 3D 世界坐标系统的一个部件洞的中心的 3D 坐标。在测量,与特殊模式编码标记将在与在底盘附近定位的生气雄蜂和职员计量器联系的底盘部件上被装配。生气雄蜂的几何学和坐标由计量器在有高精确的 3D 空间的对对方和职员直角的二架飞机组成。一些图象被一个高分辨率的照相机在不同取向和观点拿。编码分数上的 5 个关键点的 3D 坐标将被要校准的洞的中心的机器视觉技术和那些计算将被推出的算法在这篇论文计算。当部件被装配时,试验性的结果证明算法和这种技术能满足精确要求,并且算法提供的平均测量精确是 0.0174 公里。
A novel technique for calibrating crucial parameters of chassis components is proposed,which utilizes the machine vision metrology to measure 3D coordinates of the center of a component's hole for assembling in the 3D world coordinate system.In the measurement,encoding marks with special patterns will be assembled on the chassis component associated with cross drone and staff gauge located near the chassis.The geometry and coordinates of the cross drone consist of two planes orthogonal to each other and the staff gauge is in 3D space with high precision.A few images are taken by a highresolution camera in different orientations and perspectives.The 3D coordinates of 5 key points on the encoding marks will be calculated by the machine vision technique and those of the center of the holes to be calibrated will be calculated by the deduced algorithm in this paper.Experimental results show that the algorithm and the technique can satisfy the precision requirement when the components are assembled,and the average measurement precision provided by the algorithm is 0.0174 mm.