2014
DOI: 10.5772/57517
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Localization Using Magnetic Patterns for Autonomous Mobile Robot

Abstract: In this paper, we present a method of localization using magnetic landmarks. With this method, it is possible to compensate the pose error (x e , y e , θ e) of a mobile robot correctly and localize its current position on a global coordinate system on the surface of a structured environment with magnetic landmarks. A set of four magnetic bars forms total six different patterns of landmarks and these patterns can be read by the mobile robot with magnetic hall sensors. A sequential motion strategy for a mobile r… Show more

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Cited by 2 publications
(2 citation statements)
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“…The positioning accuracy achieved in our work is generally better than the existing magnetic-field-based methods reported for three- or two-dimensional position tracking [ 23 , 24 , 25 ]. For instance, the magnetic positioning of the capsule endoscope using an array of 16 three-axis Hall sensors and a magnetic tube is reported in [ 23 ], in which the random complex algorithm (RCA) gave better results than the Levenberg–Marquardt algorithm (LMA).…”
Section: Resultsmentioning
confidence: 70%
See 1 more Smart Citation
“…The positioning accuracy achieved in our work is generally better than the existing magnetic-field-based methods reported for three- or two-dimensional position tracking [ 23 , 24 , 25 ]. For instance, the magnetic positioning of the capsule endoscope using an array of 16 three-axis Hall sensors and a magnetic tube is reported in [ 23 ], in which the random complex algorithm (RCA) gave better results than the Levenberg–Marquardt algorithm (LMA).…”
Section: Resultsmentioning
confidence: 70%
“…The experimental results show that the root mean square error (RMSE) for the estimated position value of the permanent magnet was less than 1.13 mm in the X, Y, and Z directions. Another example is the position-tracking system using magnetic landmarks for autonomous mobile robots with the estimation method using NVM (Neutral Magnetic Valley) [ 24 ]. For this method, the positioning errors are generally less than 3 mm in the 130 mm range of a single cell.…”
Section: Resultsmentioning
confidence: 99%