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Contributions à la dextérité d'un système de réalité augmentée mobile appliqué à la maintenance industrielle

Abstract : The dexterity of a mobile Augmented Reality (AR) system applied to industrial maintenance is
relying on flexibility, accuracy and robustness to overcome scientific and technological locks. First,
we introduce a novel component based software architecture satisfying the real-time requirements of
AR systems. On top of this framework is built a localization system using computer vision and relying
on coded fiducials. New pose estimation algorithms are performed. Our architecture is embedding an
Augmentation Manager (AM) using numerical maintenance procedure. Each one of them is linked
to multimedia documents, including specifically animated 3D-models. This AM was integrated in the
AMRA (French acronym of Maintenance Assistance using AR) RNTL project. Last, this system is
extended to optical see-through AR in which we combine a viewpoint prediction technique based on
particle filtering and a post-rendering method.
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https://tel.archives-ouvertes.fr/tel-00339615
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, November 18, 2008 - 12:28:59 PM
Last modification on : Tuesday, June 30, 2020 - 11:54:04 AM
Long-term archiving on: : Tuesday, October 9, 2012 - 3:35:14 PM

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  • HAL Id : tel-00339615, version 1

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Jean-Yves Didier. Contributions à la dextérité d'un système de réalité augmentée mobile appliqué à la maintenance industrielle. Automatique / Robotique. Université d'Evry-Val d'Essonne, 2005. Français. ⟨tel-00339615⟩

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