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Point Cloud Data Simulation and Modelling with Aize Workspace

arXiv 2301.07947 ↗First posted 19 Jan 2023cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 26 references that are in the map. First posted on arXiv 19 Jan 2023.

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References · 2

  1. 2020robosuite: A Modular Simulation Framework and Benchmark for Robot Learningcited by 484
  2. 2020Machine learning based digital twin for dynamical systems with multiple time-scalescited by 9

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