added conclusion

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toni
2018-02-21 15:17:17 +01:00
parent 5bd226e1e8
commit ba83665c74
2 changed files with 15 additions and 2 deletions

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@@ -11,7 +11,8 @@ We arranged a \SI{223}{\meter} long walk within the first floor of a \SI{2500}{m
%The measurements for the walks were recorded using a Motorola Nexus 6 at 2.4 GHz band only.
%
Since this work only focuses on processing a given sample set, further details of the localisation system and the described scenario can be looked up in \cite{Ebner17} and \cite{Fetzer17}.
The spacing $\delta$ of the grid was set to \SI{20}{\centimeter} and a state estimation was calculated whenever a step was recognized, about every \SI{500}{\milli \second}.
The spacing $\delta$ of the grid was set to \SI{20}{\centimeter} for $x$ and $y$-direction.
The bivariate state estimation was calculated whenever a step was recognized, about every \SI{500}{\milli \second}.
%The intention of a real world experiment is to investigate the advantages and disadvantages of the here proposed method for finding a best estimate of the pedestrian's position in the wild, compared to conventional used methods like the weighted-average or choosing the maximum weighted particle.
\begin{figure}