Applying BAT Evolutionary Optimization to Image-Based Visual Servoing
Marco Perez-Cisneros,
Gerardo Garcia-Gil,
Sabrina Vega-Maldonado,
J. Arámburo-Lizárraga,
Erik Cuevas and
Daniel Zaldivar
Mathematical Problems in Engineering, 2015, vol. 2015, 1-11
Abstract:
This paper presents a predictive control strategy for an image-based visual servoing scheme that employs evolutionary optimization. The visual control task is approached as a nonlinear optimization problem that naturally handles relevant visual servoing constraints such as workspace limitations and visibility restrictions. As the predictive scheme requires a reliable model, this paper uses a local model that is based on the visual interaction matrix and a global model that employs 3D trajectory data extracted from a quaternion-based interpolator. The work assumes a free-flying camera with 6-DOF simulation whose results support the discussion on the constraint handling and the image prediction scheme.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2015/590138.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2015/590138.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:590138
DOI: 10.1155/2015/590138
Access Statistics for this article
More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().