公开(公告)号：US20230227181A1

公开(公告)日：2023-07-20

申请号：US18155356

申请日：2023-01-17

Applicant: Dalian University of Technology

Inventor： Tong LI ,  Fei NIU ,  Hui YE ,  Bo WANG

IPC: B64G1/66 ,  G06F30/23

CPC classification number: B64G1/66 ,  G06F30/23 ,  B64G2001/228

Abstract: A vibration isolation/damping satellite mount of a chopped carbon fiber reinforced thermoplastic composite material mainly includes two parts, and the two parts are connected through bolts. Considering the limitation of the molding process, the mount configuration is further optimized, and the mount structure is prepared by using the injection molding process. Furthermore, the vibration isolation/damping satellite mount of the chopped carbon fiber reinforced thermoplastic composite material prepared in the present invention can be used for large loads and complex working conditions, and the connectivity, overall strength stability, vibration isolation performance and service life of the mount all meet the design requirements. The present invention provides an efficient optimization design and manufacturing method for engineering manufacturing of thermoplastic composite materials, and vibration isolation/damping satellite mount manufactured by the method is low in cost, high in practicability and easy to produce on a large scale.

公开(公告)号：US20230094308A1

公开(公告)日：2023-03-30

申请号：US17533878

申请日：2021-11-23

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Xin YANG ,  Tong LI ,  Baocai YIN ,  Zhaoxuan ZHANG ,  Boyan WEI ,  Zhenjun DU

IPC: G06V20/64 ,  G06T7/50 ,  G06T3/00

Abstract: The present invention belongs to the technical field of 3D reconstruction in the field of computer vision, and provides a dataset generation method for self-supervised learning scene point cloud completion based on panoramas. Pairs of incomplete point cloud and target point cloud with RGB information and normal information can be generated by taking RGB panoramas, depth panoramas and normal panoramas in the same view as input for constructing a self-supervised learning dataset for training of the scene point cloud completion network. The key points of the present invention are occlusion prediction and equirectangular projection based on view conversion, and processing of the stripe problem and point-to-point occlusion problem during conversion. The method of the present invention includes simplification of the collection mode of the point cloud data in a real scene; occlusion prediction idea of view conversion; and design of view selection strategy.