Semantic Segmentation of Real and Synthetic Point Cloud Data for Digital Twinning of Bridges

Titel:: Semantic Segmentation of Real and Synthetic Point Cloud Data for Digital Twinning of Bridges
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Mafipour, MS. ; Alici, C.; Shakeel, S.; Kalkavan, A.
Stichworte:: Digital Twins, Point Cloud Data, Semantic Segmentation, Synthetic, Deep Learning, LOCenter, TwinGen
Kongress- / Buchtitel:: Proceedings of 33. Forum Bauinformatik
Jahr:: 2022
BibTeX