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.
刘玥, 林嘉睿, 刘涛, 刘常杰, 叶声华. 白车身视觉检测系统中多类型传感器全局校准技术[J]. 计量学报, 2014, 35(3): 204-209.
LIU Yue, LIN Jia-rui, LIU Tao, LIU Chang-jie, YE Sheng-hua. Multi-sensor Global Calibration Technology of Vision Sensor in Car Body-in-white Visual Measurement System. Acta Metrologica Sinica, 2014, 35(3): 204-209.
2014, Vol. 35 
