Improvement of Localization Accuracy with COAG Features and Candidate Selection based on Shape of Sensor Data

Kim, Dong-Il; Song, Jae-Bok; Choi, Jihoon

doi:10.7746/jkros.2014.9.2.117

The Journal of Korea Robotics Society

2014

DOI: 10.7746/jkros.2014.9.2.117

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Improvement of Localization Accuracy with COAG Features and Candidate Selection based on Shape of Sensor Data

Dong-Il Kim¹,

Jae-Bok Song²,

Jihoon Choi³

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2016

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Positioning of Robot using Visible Light in Indoor Environment

강인성¹,

민세웅²,

남해운³

2016

J. Korea Robot. Soc.

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In this paper, we propose a new method for improving the accuracy of localizing a robot to find the position of a robot in indoor environment. The proposed method uses visible light for indoor localization with a reference receiver to estimate optical power of individual LED in order to reduce localization errors which are caused by aging of LED components and different optical power for each individual LED, etc. We evaluate the performance of the proposed method by comparing it with the performance of traditional model. In several simulations, probability density functions and cumulative distribution functions of localization errors are also obtained. Results indicate that the proposed method is able to reduce localization errors from 7.3 cm to 1.6 cm with a precision of 95%.

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Positioning of Robot using Visible Light in Indoor Environment

강인성¹,

민세웅²,

남해운³

2016

J. Korea Robot. Soc.

View full text Add to dashboard Cite

show abstract

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Improvement of Localization Accuracy with COAG Features and Candidate Selection based on Shape of Sensor Data

Cited by 1 publication

References 8 publications

Positioning of Robot using Visible Light in Indoor Environment

Positioning of Robot using Visible Light in Indoor Environment

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