English

Point Cloud Data Simulation and Modelling with Aize Workspace

Computer Vision and Pattern Recognition 2023-01-20 v1

Abstract

This work takes a look at data models often used in digital twins and presents preliminary results specifically from surface reconstruction and semantic segmentation models trained using simulated data. This work is expected to serve as a ground work for future endeavours in data contextualisation inside a digital twin.

Keywords

Cite

@article{arxiv.2301.07947,
  title  = {Point Cloud Data Simulation and Modelling with Aize Workspace},
  author = {Boris Mocialov and Eirik Eythorsson and Reza Parseh and Hoang Tran and Vegard Flovik},
  journal= {arXiv preprint arXiv:2301.07947},
  year   = {2023}
}

Comments

Extended abstract, Northern Lights Deep Learning Conference, 2023

R2 v1 2026-06-28T08:15:09.936Z