AI Article Synopsis

  • The paper presents a new method for determining the relative rotation angle between two spacecraft or aircraft cabins during automated assembly using distributed vision technology.
  • It utilizes two sets of cameras to capture images from different angles of mating features like dowel pins and holes, which are then analyzed to calculate the relative rotation.
  • A practical registration process involving an auxiliary device is introduced to accurately align the cameras, achieving a measurement precision of 0.02° over a distance of 340 mm.

Article 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11281291PMC
http://dx.doi.org/10.3390/s24144484DOI Listing

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