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final version of paper

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toni
2016-06-02 15:57:53 +02:00
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tex/chapters/abstract.tex
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@@ -8,6 +8,6 @@ This enables many possibilities for further improving the position estimation.
Both smoothing techniques are deployed as fixed-lag and fixed-interval smoother and a novel approach for incorporating them easily within a conventional localisation system is presented.
All this is evaluated on four floors within our faculty building.
The results show that smoothing methods offer a great tool for improving the overall localisation.
Especially fixed-lag smoothing provides a great runtime support by reducing timely errors and improving the overall estimation with affordable costs.
Especially fixed-lag smoothing provides a great runtime support by reducing temporal errors and improving the overall estimation with affordable costs.
\end{abstract}
%\begin{IEEEkeywords} indoor positioning, Monte Carlo smoothing, particle smoothing, sequential Monte Carlo\end{IEEEkeywords}