Title: Evaluation of model-based tracking and its application in a robotic production line
Authors: Scheer, Fabian
Neumann, Markus
Wirth, Konrad
Ginader, Marvin
Oezkurt, Yavuz
Mueller, Stefan
Citation: Journal of WSCG. 2020, vol. 28, no. 1-2, p. 71-78.
Issue Date: 2020
Publisher: Václav Skala - UNION Agency
Document type: article
článek
URI: http://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf
http://hdl.handle.net/11025/38427
ISSN: 1213-6972 (print)
1213-6980 (CD-ROM)
1213-6964 (on-line)
Keywords: hodnocení;sledování podle modelu;metody hodnocení;synchronizace s dopravníkem;robotická výrobní linka
Keywords in different language: evaluation;model-based tracking;evaluation methods;synchronization to conveyor;robotic production line
Abstract in different language: The assessment of the accuracy and stability of model-based tracking approaches in the literature is a challenging task. Many of the presented methods lack a detailed evaluation or comparison to accurate ground truth data. Considering real world applications, it is hard to estimate the applicability of the respective method. In this paper we present methods to evaluate the accuracy and stability of model-based tracking approaches. Thereby, we focus on an industrial use and the robustness of the approach considering error sources like the influence of lighting over time, noise and the mechanical camera setup in general. The second part of this paper deals with the evaluation and application of model-based tracking in a robotic production line for gap measurements in the automotive industry. We present a method for synchronization with a conveyor setup and an operating robot. In this complex setup various error sources influence the output accuracy of the system. A further accuracy evaluation method is presented that uses the robot as a measurement device of the total error. The paper closes with the application of a model-based tracking system for robotic measurement tasks in a production line.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Volume 28, Number 1-2 (2020)

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