Mobile, multimodal, vision-based data acquisition system for passive monitoring in production and intralogistics
Citation Link: https://doi.org/10.15480/882.16806
Publikationstyp
Conference Paper
Date Issued
2026
Sprache
English
Author(s)
TORE-DOI
Journal
Volume
138
Start Page
90
End Page
95
Citation
18th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2024 (2026)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Elsevier
Peer Reviewed
true
The digitalization of chaotic intralogistics and production processes, including, e.g., humans and otherwise dynamic or static, non-tracked assets, as in the case of lot size one and large-object production facilities, requires non-invasive sensor solutions. One approach is to equip already movable assets on the shopfloor with multimodal 2D/2.5D/3D optical sensor systems that perceive the surrounding environment – such a solution requires methods for sensor calibration, sensor fusion, localization, and mapping. Besides, to comply with data privacy regulations, data must be de-personalized. This work proposes a mobile, multimodal sensor system that passively monitors the surroundings, localizes itself, outputs depersonalized data online, and can recreate the environment as a geometric digital twin.
Subjects
factory planning
manufacturing optimization
monitoring
vision-based perception
DDC Class
670: Manufacturing
629.8: Control and Feedback Control Systems
Publication version
publishedVersion
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Type
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903.5 KB
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