|
|
Multi-sensor Global Calibration Technology of Vision Sensor in Car Body-in-white Visual Measurement System |
LIU Yue, LIN Jia-rui, LIU Tao, LIU Chang-jie, YE Sheng-hua |
State Key Laboratory of Precision Measuring Technology & Instruments, Tianjin University, Tianjin 300072, China |
|
|
Abstract A novel global calibration method for the multi-sensor vision measurement system in industrial field is proposed to solve the problem of multiple sensors of different types,large distribution space and complicated position relations in the car body-in-white vision measurement system. Based on the indirect coordinates transformation,two precise 3D targets are designed as the intermediary in coordinates transformation,and field calibration data is acquired by a laser tracker. On the basis of the unit quaternion global calibration model,the optimized transformation parameters can be established in order to unify the stationary sensor coordinates and flexible sensors coordinates to the global coordinate system. The method has been applied in the inline measurement station of a company successfully. Only the calibration of transformation relation between the sensor coordinates and the global coordinates is needed in the application filed. Therefore,the complex environmental restriction is reduced in multi-sensor global calibration. Meanwhile,the environment adaptability is improved and the calibration process is simplified. The maximum deviation of the vision measurement system is ±0.2 mm, which meets the accuracy requirements of the manufacture dimension changes control of car body-in-white.
|
|
|
|
|
[1] 罗明.多传感器及其视觉测量系统的研究及应用[D].天津: 天津大学, 1996.
[2] 刘常杰,邾继贵,杨学友,等. 汽车白车身在线激光视觉检测站[J].仪器仪表学报,2004,25(4):671-672.
[3] 邾继贵,王仲,周富强,等. IVECO车身视觉检测系统现场溯源研究[J]. 计量学报,2000,29(1): 28-33.
[4] 冯克猷,罗明.多视觉检测系统的定标[J].计量学报, 1995, 16(3): 217-220.
[5] Lu R S, Li Y F. A global calibration method for large-scale multi-sensor measurement systems[J].Sens Actuators A: Phys, 2004, 116(3):384-393.
[6] 吴斌,朱洪岩,肖心通,等.视觉测量中基于单应性矩阵的平面靶标图像特征提取[J]. 光电子激光, 2011,22(8):1211-1215.
[7] 郭剑鹰,吕恬生. 机器人手眼矩阵求解算法[J]. 计量技术, 2003, (4): 3-5.
[8] 任永杰,邾继贵,杨学友,等. 基于距离精度的测量机器人标定模型及算法[J]. 计量学报, 2008, 29(3): 198-202.
[9] 林嘉睿.大型复杂物体组合测量方法研究[D].天津: 天津大学, 2012.
[10] 杨凡,李广云,王力. 三维坐标转换方法研究[J]. 测绘通报, 2010, 6(5):7-15.
[11] Faugeras O D,Lustman F,Toscani G. Motion and Structure from Motion from Point and Line Matches[C]//Computer Society Press of the IEEE,London,1987: 25-34.
[12] 班莹,段发阶,胡亮,等. 基于激光扫描的汽车车身测量系统传感器标定的研究[J]. 计量学报, 2008, 29(1): 17-20.
[13] 吴斌,薛婷,邾继贵,等.一种立体视觉测量高精度标定新方法[J]. 光电工程, 2005, 32(2):66-70. |
|
|
|