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Leveraging passive monitoring applications in production and intralogistics
Citation Link: https://doi.org/10.15480/882.16804
Publikationstyp
Conference Paper
Date Issued
2026
Sprache
English
Author(s)
TORE-DOI
Journal
Volume
138
Start Page
102
End Page
107
Citation
18th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2024 (2026)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Elsevier
Today’s rapidly evolving industrial landscape and the progressive digitization of products, processes, and resources require massive amounts of online data on the current production and logistical status. Fixed-positioned sensor systems have a constrained Field of View (FoV), while a mobile system can significantly extend these, enabling further applications due to the larger observed space. In this work, we elaborate on potential applications that utilize incidentally acquired data from various locations from the perspective of a mobile, vision-based sensor system. We exemplarily demonstrate an application within the scope of capturing and triggering the intralogistics chain with data from a vision-based sensor system that can be carried by an Autonomous Guided Vehicle (AGV).
Subjects
incidental data acquisition
logistics monitoring
mobile sensor system
visual environment perception
DDC Class
629.8: Control and Feedback Control Systems
670: Manufacturing
Publication version
publishedVersion
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1-s2.0-S2212827126000193-main.pdf
Type
Main Article
Size
609.62 KB
Format
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