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Originalveröffentlichung
DOI: 10.1109/MFI.2015.7295737

TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials

Pfaff, Florian; Baum, Marcus; Noack, Benjamin; Hanebeck, Uwe D.; Gruna, Robin; Längle, Thomas; Beyerer, Jürgen

Abstract:
Optical belt sorters are a versatile, state-of-the-art technology to sort
bulk materials that are hard to sort based on only nonvisual properties. In
this paper, we propose an extension to current optical belt sorters that
involves replacing the line camera with an area camera to observe a wider
field of view, allowing us to observe each particle over multiple time
steps. By performing multitarget tracking, we are able to improve the
prediction of each particle‘s movement and thus enhance the performance of
the utilized separation mechanism. We show that our approach will allow
belt sorters to handle new classes of bulk materials while improving cost
efficiency. Furthermore, we lay out additional extensions that are made
possible by our new paradigm


Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Jahr 2015
Sprache Englisch
Identifikator ISBN: 978-1-4799-7772-7
KITopen ID: 1000051035
Erschienen in Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), 14-16 Sept. 2015, San Diego, CA, USA
Verlag IEEE, Piscataway (NJ)
Seiten 7-12
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