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Master Thesis

La réalité augmentée au service de la détection des réseaux

Abstract : In France, many network damages have been identified during construction work. To remedy this, the decree of 15 February 2012 stipulates that each grid operator is required to provide a grid mapping according to precision class A. Thus, network detection being a booming sector, it is important that it be modernized. To achieve this, this memorandum will detail a solution envisaged by the company "GTA Energies". It aims to link the field of augmented reality with that of network detection. It consists in the creation of a mobile application allowing the visualization of buried networks in augmented reality. This research work includes technical analyses on network detection and augmented reality. As this application requires compliance with class A, several avenues of reflection were discussed, such as the use of GNSS or marker.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-02466420
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  • HAL Id : dumas-02466420, version 1

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Julien Ferrandi. La réalité augmentée au service de la détection des réseaux. Sciences de l'ingénieur [physics]. 2019. ⟨dumas-02466420⟩

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