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Modeling and Calibration of a Novel One-Mirror Galvanometric Laser Scanner.
Yu, Chengyi; Chen, Xiaobo; Xi, Juntong.
Afiliação
  • Yu C; State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai 200240, China. jg5bvictor@sjtu.edu.cn.
  • Chen X; State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai 200240, China. xiaoboc@sjtu.edu.cn.
  • Xi J; State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai 200240, China. jtxi@sjtu.edu.cn.
Sensors (Basel) ; 17(1)2017 Jan 15.
Article em En | MEDLINE | ID: mdl-28098844
ABSTRACT
A laser stripe sensor has limited application when a point cloud of geometric samples on the surface of the object needs to be collected, so a galvanometric laser scanner is designed by using a one-mirror galvanometer element as its mechanical device to drive the laser stripe to sweep along the object. A novel mathematical model is derived for the proposed galvanometer laser scanner without any position assumptions and then a model-driven calibration procedure is proposed. Compared with available model-driven approaches, the influence of machining and assembly errors is considered in the proposed model. Meanwhile, a plane-constraint-based approach is proposed to extract a large number of calibration points effectively and accurately to calibrate the galvanometric laser scanner. Repeatability and accuracy of the galvanometric laser scanner are evaluated on the automobile production line to verify the efficiency and accuracy of the proposed calibration method. Experimental results show that the proposed calibration approach yields similar measurement performance compared with a look-up table calibration method.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China