CVJan 19, 2023
Point Cloud Data Simulation and Modelling with Aize Workspace
arXiv:2301.07947v1h-index: 7
Originality Synthesis-oriented
AI Analysis
This work addresses data modeling challenges for digital twin applications, but it is incremental as it builds on existing methods with simulated data.
The paper tackled the problem of data modeling for digital twins by evaluating surface reconstruction and semantic segmentation models trained on simulated point cloud data, presenting preliminary results as groundwork for future data contextualization.
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.