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  4. Simulation-based evaluation of predictive tracking for sorting bulk materials
 
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2016
Conference Paper
Title

Simulation-based evaluation of predictive tracking for sorting bulk materials

Abstract
Multitarget tracking problems arise in many realworld applications. The performance of the utilized algorithm strongly depends both on how the data association problem is handled and on the suitability of the motion models employed. Especially the motion models can be hard to validate. Previously, we have proposed to use multitarget tracking to improve optical belt sorters. In this paper, we evaluate both the suitability of our model and the tracking and then of our entire system incorporating the image processing component via the use of highly realistic numerical simulations. We first assess the model using noise-free measurements generated by the simulation and then evaluate the entire system by using synthetically generated image data.
Author(s)
Pfaff, F.
Pieper, C.
Maier, Georg  
Noack, B.
Kruggel-Emden, H.
Gruna, Robin  
Hanebeck, U.
Wirtz, S.
Scherer, V.
Längle, Thomas  
Beyerer, Jürgen  
Mainwork
IEEE International Conference on Multisensor Fusion and lntegration for Intelligent Systems, MFI 2016  
Conference
International Conference on Multisensor Fusion and lntegration for Intelligent Systems (MFI) 2016  
Open Access
File(s)
Download (305.93 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-r-395267
10.1109/MFI.2016.7849539
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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