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  4. An automatic calibration approach for a multi-camera-robot system
 
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2019
Conference Paper
Title

An automatic calibration approach for a multi-camera-robot system

Abstract
In this paper we present an automated and precise calibration approach to enable a vision-based robot control with a multi-camera setup. In our case we use a setup consisting of four fixed cameras above the workplace (eye-to-hand configuration) and a collaborative robot. The robot will be used to automate the intrinsic camera calibration and the necessary process of capturing images of a calibration pattern from a maximum number of different viewpoints. For the extrinsic calibration of the cameras and the calibration to the robot we use only two small markers, which are permanently attached to the base of the robot. This allows a fast online calibration of the setup. With the help of first experiments, we can show that the calibration method works well under laboratory conditions. Furthermore, we will discuss the achieved accuracy.
Author(s)
Kroeger, Ole
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Hügle, Johannes  
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Niebuhr, Carsten A.
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Mainwork
24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019. Proceedings  
Conference
International Conference on Emerging Technologies and Factory Automation (ETFA) 2019  
DOI
10.1109/ETFA.2019.8869522
Language
English
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Keyword(s)
  • camera calibration

  • eye-to-hand calibration

  • vision-based industrial robot

  • ArUco marker

  • ChArUco board

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