RF Indoor Positioning System Supported by Wireless Computer Vision Sensors

  • Przemysaw Woznica, Michal Tarkowski, Marek Plotka, and Lukasz Kulas. RF Indoor Positioning System Supported by Wireless Computer Vision Sensors. In Proceedings of the 20th International Conference on Microwaves, Radar, and Wireless Communication (MIKON), pages 1-3, Gdansk, Poland, 2014.
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    In this paper the possibility of increase the accuracy of RF fingerprinting indoor tracking system by the use of additional information from simple vision system is examined. As the distances in signal space differs from ones in real environment the ambiguity in decision process of fingerprinting algorithm can occur when set of closest distances between tag and map points in signal space corresponds to big distances differences in environment. The additional information from vision system is utilize to resolve which of possible locations should be chosen as correct one. In paper localization system is described and experimental results are presented as the evaluation of system performance.

    @InProceedings{2014-06-WOZNICA,
    author = {Przemysaw Woznica and Michal Tarkowski and Marek Plotka and Lukasz Kulas},
    title = {{RF Indoor Positioning System Supported by Wireless Computer Vision Sensors}},
    booktitle = {{Proceedings of the 20th International Conference on Microwaves, Radar, and Wireless Communication (MIKON)}},
    date = {2014-06-16/2014-06-18},
    pages = {1-3},
    address = {Gdansk, Poland},
    url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber = 6899996&tag = 1},
    abstract = {In this paper the possibility of increase the accuracy of RF fingerprinting indoor tracking system by the use of additional information from simple vision system is examined. As the distances in signal space differs from ones in real environment the ambiguity in decision process of fingerprinting algorithm can occur when set of closest distances between tag and map points in signal space corresponds to big distances differences in environment. The additional information from vision system is utilize to resolve which of possible locations should be chosen as correct one. In paper localization system is described and experimental results are presented as the evaluation of system performance.},
    year = {2014}
    }

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