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Modeling and Calibration of Inertial and Vision Sensors
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2010 (English)In: The international journal of robotics research, ISSN 0278-3649, E-ISSN 1741-3176, Vol. 29, no 2, 231-244 p.Article in journal (Refereed) Published
Abstract [en]

This paper is concerned with the problem of estimating the relative translation and orientation of an inertial measurement unit and a camera, which are rigidly connected. The key is to realize that this problem is in fact an instance of a standard problem within the area of system identification, referred to as a gray-box problem. We propose a new algorithm for estimating the relative translation and orientation, which does not require any additional hardware, except a piece of paper with a checkerboard pattern on it. The method is based on a physical model which can also be used in solving, for example, sensor fusion problems. The experimental results show that the method works well in practice, both for perspective and spherical cameras.

Place, publisher, year, edition, pages
Sage Publications, 2010. Vol. 29, no 2, 231-244 p.
Keyword [en]
Vision sensors, Inertial sensors, Sensor fusion, Calibration, Gray-box system identification
National Category
Computer and Information Science Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-54230DOI: 10.1177/0278364909356812ISI: 000275038200007OAI: oai:DiVA.org:liu-54230DiVA: diva2:301427
Available from: 2010-03-03 Created: 2010-03-03 Last updated: 2017-12-12

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Hol, JeroenSchön, ThomasGustafsson, Fredrik

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • en-US
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  • sv-SE
  • Other locale
More languages
Output format
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