Research on Augmented Reality Tracking Registration Method for Wing-fuselage Docking of Large Passenger Aircraft

The assembly quality of aircraft large components often plays a decisive role in the overall assembly quality. With the development of augmented reality technology, the multi-source heterogeneous data involved in the assembly and docking process of large components can be visually displayed in graphical or digital form. This can assist process personnel in completing complex assembly tasks better. To overlay virtual information into the real world, accurate positioning of the poses of large components is required. However, in the actual process of wing-fuselage docking, the large components themselves and the assembly environment are relatively complex. This may lead to low positioning accuracy and computational efficiency in traditional tracking and registration methods. Therefore, a new tracking registration method has been proposed in this paper. Firstly, an image dataset is constructed based on Unity Perception. Then, feature point recognition and template matching are implemented based on Harris and scale invariant feature transform (SIFT). Finally, the matching threshold is optimized based on the fruit fly optimization algorithm. The effectiveness of the proposed method is verified through a wing-fuselage docking simulation experimental platform. The average total error percentage of the new method is only 2.006 9%. The method proposed in this paper solves the key problem of tracking, registering and positioning large components, and thus provides more reliable support for the further application of augmented reality technology in the field of aircraft assembly.