现代制造工程Issue(10)：115-120,6.DOI:10.16731/j.cnki.1671-3133.2017.10.022
基于随机抽样一致性算法的运动标定方法
Motion calibration method based on RANSAC algorithm
杨硕 1李素华 2高峰2
作者信息
- 1. 上海交通大学自动化系,上海200030
- 2. 昆山工研院新型平板显示技术中心有限公司,昆山215300
- 折叠
摘要
Abstract
The sample data of the rotating center of the alignment platform collected in the process of motion calibration for the bonding equipment has so many interferences ,which cause a lot of problems like complexity ,low accuracy and robustness in deriva-tion process.In order to solve the problem, figures out a simple solution based on Random Sample Consensus (RANSAC)algorithm. By carrying out iteration screening several times with the solution based on the density distribution model of the sample data ,we can derive the results on the basis of the optimum solution .The experimental results show that by using iterative calculation within 10 groups of random sample datum ,it costs 697.6 seconds on average ,and the calibration accuracy of this method is within 7.2 pixels. Besides,the results of the 7 datasets all meet the precision requirement of the 10 pixels.The results reach the same performance lev-el of the Japan and South Korea ' s equipment and absolutely conform to the requirements of the equipment operation .关键词
邦定设备/运动标定/随机一致抽样/样本数据分布密度的模型Key words
bonding equipment/motion calibration/Random Sample Consensus ( RANSAC)/the density distribution model of the sample data分类
信息技术与安全科学引用本文复制引用
杨硕,李素华,高峰..基于随机抽样一致性算法的运动标定方法[J].现代制造工程,2017,(10):115-120,6.
