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Master Thesis

Développement d’une méthode d’intelligence artificielle appliquée à la production de maquettes 3D

Abstract : Laser scanners are used more and more in the field of land surveyor, they allow the production of point clouds. The exploitation of these seeks to be more and more automated. To facilitate the automation of point cloud processing, it will be necessary to make the point clouds as clean as possible. Point cloud segmentation by artificial intelligence and more particularly by neural networks has been developing more and more in recent years. This work focused on automating point cloud segmentation by AI using several Python programs. They will initially make it possible to annotate all the data that will be used to train the neural network. Thanks to this work it will be possible subsequently to clean the point clouds to remove the elements that are not useful for digital model modeling on Revit.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-03526545
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Submitted on : Friday, January 14, 2022 - 3:27:50 PM
Last modification on : Monday, April 18, 2022 - 3:16:36 AM

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  • HAL Id : dumas-03526545, version 1

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Camille Barbin. Développement d’une méthode d’intelligence artificielle appliquée à la production de maquettes 3D. Sciences de l'ingénieur [physics]. 2021. ⟨dumas-03526545⟩

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