Visual Guidance for Assembly Processes

Augmented reality (AR) can improve users’ efficiency in various tasks. AR allows to guide a user with superimposed information, for example, during an assembly process. While paper-based assembly instructions are cumbersome and time-consuming, deep-learning driven AR-based instructions can dynamically adapt to the assembly scene and augmented 3D information over the physical objects (in-situ). We present KARVIMIO, an AR assembly guidance application for instruments based on 3D printed parts as reproducible testbed. Our approach utilizes purely synthetic training data for pose estimation to allow an easy generalization of the approach to new assembly groups and other areas of use.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar-adjunct64951.2024.00195
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.35

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article

Visual Guidance for Assembly Processes

Julian Kreimeier, Hannah Schieber, Alejandro Martin‐Gomez, Daniel Roth et al.
1 citations
Manufacturing Process and Optimization
0.35
article

Visual Guidance for Assembly Processes

Julian Kreimeier, Hannah Schieber, Alejandro Martin‐Gomez, Daniel Roth, Shiyu Li
article en
1 citations

Abstract

Augmented reality (AR) can improve users’ efficiency in various tasks. AR allows to guide a user with superimposed information, for example, during an assembly process. While paper-based assembly instructions are cumbersome and time-consuming, deep-learning driven AR-based instructions can dynamically adapt to the assembly scene and augmented 3D information over the physical objects (in-situ). We present KARVIMIO, an AR assembly guidance application for instruments based on 3D printed parts as reproducible testbed. Our approach utilizes purely synthetic training data for pose estimation to allow an easy generalization of the approach to new assembly groups and other areas of use.

Johns Hopkins University (US), Technical University of Munich (DE)
Ministry of Education
Openalex Percentile: Top 33%
Manufacturing Process and Optimization
0.35
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Visual Guidance for Assembly Processes — Julian Kreimeier, Hannah Schieber, et al. · (2024) | TGRS Research Map | TGRS