Research on Isolated Cloud Point Fast-Filtering Algorithm for Digital Twin. Issue 1 (January 2022)

• Record Type: Journal Article
• Authors: Li, Hongjun; Guo, Xiaorui; Yang, Kang; Zhang, Chi; Zhang, Zhihan
• Is Part Of: Journal of physics. Volume 2148:Issue 1(2022)
• Publication Date: 2022-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2148/1/012003
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the establishment of the digital twin stereoscopic warehouse concept, the importance of twin data has become increasingly prominent for digital twin system. Aiming at the problem of low accuracy in obtaining twin data from warehouse stocks, an isolated point cloud filtering algorithm combine with digital signal processing is proposed. The algorithm can retrieve the coordinate value of isolated point in original twin point cloud by constructing a twin point cloud fitting model, thereby filter out the point information of isolated region and obtain the warehousing twin data. The experiment results show that the algorithm can filter all isolated points while keeping the characteristics of original twin point cloud. The method provides accurate twin data support for digital twin stereoscopic warehouse.