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  4. Leveraging passive monitoring applications in production and intralogistics
 
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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)
Prünte, Philipp Julian  orcid-logo
Flugzeug-Produktionstechnik M-23  
Determann, Jonathan  
Flugzeug-Produktionstechnik M-23  
Moenck, Keno  orcid-logo
Flugzeug-Produktionstechnik M-23  
Erlich, Eidan  
Flugzeug-Produktionstechnik M-23  
Patki, Dhananjay  
Flugzeug-Produktionstechnik M-23  
Bitte, Frank  
Gomse, Martin  
Flugzeug-Produktionstechnik M-23  
Schüppstuhl, Thorsten  orcid-logo
Flugzeug-Produktionstechnik M-23  
TORE-DOI
10.15480/882.16804
TORE-URI
https://hdl.handle.net/11420/61819
Journal
Procedia CIRP  
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
18th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2024  
Publisher DOI
10.1016/j.procir.2026.01.019
Scopus ID
2-s2.0-105030654764
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
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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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