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Measurement Approach for the Pose of Flanges in Cabin Assemblies through Distributed Vision.
Ma, Xiaojie; Zhang, Jieyu; Miao, Tianchao; Xie, Fawen; Geng, Zhongqiu.
Afiliação
  • Ma X; School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China.
  • Zhang J; School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China.
  • Miao T; School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China.
  • Xie F; SHIEN-MING WU School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
  • Geng Z; School of Mechanical Engineering, Henan Institute of Technology, Xinxiang 453003, China.
Sensors (Basel) ; 24(14)2024 Jul 11.
Article em En | MEDLINE | ID: mdl-39065880
ABSTRACT
The relative rotation angle between two cabins should be automatically and precisely obtained during automated assembly processes for spacecraft and aircraft. This paper introduces a method to solve this problem based on distributed vision, where two groups of cameras are employed to take images of mating features, such as dowel pins and holes, in oblique directions. Then, the relative rotation between the mating flanges of two cabins is calculated. The key point is the registration of the distributed cameras; thus, a simple and practical registration process is designed. It is assumed that there are rigid and scaling transformations among the world coordinate systems (WCS) of each camera. Therefore, the rigid-correct and scaling-correct matrices are adopted to register the cameras. An auxiliary registration device with known features is designed and moved in the cameras' field of view (FOV) to obtain the matrix parameters so that each camera acquires traces of every feature. The parameters can be solved using a genetic algorithm based on the known geometric relationships between the trajectories on the registration devices. This paper designs a prototype to verify the method. The precision reaches 0.02° in the measuring space of 340 mm.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China