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  • Multi-Directional Weighted Interpolation for Wi-Fi Localisation

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    93047_1.pdf (248.0Kb)
    Author(s)
    Bowie, Dale
    Faichney, Jolon
    Blumenstein, Michael
    Griffith University Author(s)
    Faichney, Jolon B.
    Blumenstein, Michael M.
    Bowie, Dale
    Year published
    2014
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    Abstract
    The rise in popularity of unmanned autonomous vehicles (UAV) has created a need for accurate positioning systems. Due to the indoor limi- tations of the Global Positioning System (GPS), research has focused on other technologies which could be used in this landscape with Wi-Fi local- isation emerging as a popular option. When implementing such a system, it is necessary to find an equilibrium between the desired level of final pre- cision, and the time and money spent training the system. We propose Multi-Directional Weighted Interpolation (MDWI), a probabilistic-based weighting mechanism to predict unseen locations. Our ...
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    The rise in popularity of unmanned autonomous vehicles (UAV) has created a need for accurate positioning systems. Due to the indoor limi- tations of the Global Positioning System (GPS), research has focused on other technologies which could be used in this landscape with Wi-Fi local- isation emerging as a popular option. When implementing such a system, it is necessary to find an equilibrium between the desired level of final pre- cision, and the time and money spent training the system. We propose Multi-Directional Weighted Interpolation (MDWI), a probabilistic-based weighting mechanism to predict unseen locations. Our results show that MDWI uses half the number of training points whilst increasing accuracy by up to 24%.
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    Conference Title
    Robot Intelligence Technology and Applications 2: the 2nd International Conference on Robot Intelligence Technology and Applications Series: Advances in Intelligent Systems and Computing, Vol. 274
    Publisher URI
    http://www.rita2013.org/main/
    DOI
    https://doi.org/10.1007/978-3-319-05582-4_9
    Copyright Statement
    © 2014 Springer International Publishing. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.com
    Subject
    Mobile Technologies
    Publication URI
    http://hdl.handle.net/10072/64463
    Collection
    • Conference outputs

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