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Design of coded reference labels for indoor optical navigation using monocular camera
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0001-5615-7347
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2013 (English)In: 2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013, IEEE Computer Society, 2013, Art. no. 6817925- p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a machine vision based indoor navigation system. The paper describes a pose estimation of machine vision system by recognizing rotationally independent optimized color reference labels combined with a geometrical camera calibration model, which determines a set of camera parameters. A reference label carries one byte of information, which can be uniquely designed for various values. More than four reference labels are used in the image to calculate the localization coordinates of the system. An algorithm in Matlab has been developed so that a machine vision system can recognize N number of labels at any given orientation. In addition, a one channel color technique is applied in segmentation process, due to this technique the number of segmented image components is reduced significantly, limiting the memory storage requirement and processing time. The algorithm for pose estimation is based on direct linear transformation (DLT) method with a set of control reference labels in relation to the camera calibration model. From the experiments we concluded that the pose of the machine vision system can be calculated with relatively high precision, in the calibrated environment of reference labels. © 2013 IEEE.

Place, publisher, year, edition, pages
IEEE Computer Society, 2013. Art. no. 6817925- p.
Series
International Conference on Indoor Positioning and Indoor Navigation, ISSN 2162-7347 ; 2013
Keyword [en]
DLT, label recognition, least square estimation, Machine vision, Matlab, Optical navigation, Pose, Reference labels
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-22611DOI: 10.1109/IPIN.2013.6817925ISI: 000341663400086Scopus ID: 2-s2.0-84902155063ISBN: 978-1-4799-4043-1 (print)OAI: oai:DiVA.org:miun-22611DiVA: diva2:754613
Conference
2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013; Montbeliard-Belfort; France; 28 October 2013 through 31 October 2013; Category numberCFP1309J-ART; Code 105425
Funder
Knowledge Foundation
Note

Export Date: 20 August 2014

Available from: 2014-10-10 Created: 2014-08-20 Last updated: 2015-09-25Bibliographically approved
In thesis
1. Real-Time Optical Position Sensing on FPGA
Open this publication in new window or tab >>Real-Time Optical Position Sensing on FPGA
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2014. 95 p.
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 176
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-24035 (URN)STC (Local ID)978-91-87557-29-3 (ISBN)STC (Archive number)STC (OAI)
Supervisors
Available from: 2015-01-08 Created: 2015-01-07 Last updated: 2017-03-06Bibliographically approved

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CiteExportLink to record
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Citation style
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Language
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