Assembly specific viewpoint generation as part of a simulation based sensor planning pipeline

Publikationstyp
Conference Paper
Date Issued
2021-11-26
Sprache
English
Author(s)
Gierecker, Johann  orcid-logo
Schüppstuhl, Thorsten  orcid-logo
Institut
Flugzeug-Produktionstechnik M-23  
TORE-DOI
10.15480/882.4080
TORE-URI
http://hdl.handle.net/11420/11414
Journal
Procedia CIRP  
Volume
104
Start Page
981
End Page
986
Citation
Procedia CIRP 104 (): 981–986 (2021)
Contribution to Conference
54th CIRP Conference on Manufacturing Systems, CMS 2021  
Publisher DOI
10.1016/j.procir.2021.11.165
Scopus ID
2-s2.0-85121650324
Publisher
Elsevier
Manual assembly often lacks process monitoring since information feedback is only generated by the worker. Machine vision systems thereby offer the possibility to automatically derive process states without intervening the work in progress. Recent approaches in the field of sensor planning and advances in sensor simulation allow automatic machine vision design but simultaneously require detailed knowledge of relevant object features which is difficult to obtain. Therefore, this paper introduces a novel method to derive task-specific viewpoints for the inspection of assembly states supporting a simulation-based pipeline to configure the inspection setup automatically.
Subjects
assembly monitoring
machine vision
production automation
sensor planning
sensor simulation
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding Organisations
Bundesministerium für Wirtschaft und Energie - BMWi  
More Funding Information
Research was funded by German Federal Ministry for Economic Affairs and Energy.
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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