Merge branch 'master' of https://git.frank-ebner.de/FHWS/Fusion2016
and fixed gfx nexus-legend
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@@ -44,7 +44,7 @@
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\SI{70}{\centimeter} with an allowed derivation of \SI{10}{\percent}. The heading deviation in
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\refeq{eq:transSimple}, \refeq{eq:transShortestPath} and \refeq{eq:transMultiPath} was \SI{25}{\degree}.
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Edges departing from the pedestrian's destination are downvoted using $\mUsePath = 0.9$.
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\commentByFrank{$\mUsePath$ erklaert}
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%\commentByFrank{$\mUsePath$ erklaert}
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As we start with a discrete uniform distribution for $\mStateVec_0$ (random position and heading), the first few estimations
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@@ -69,9 +69,8 @@
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\input{gfx/eval/paths}
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\caption{The four paths that were part of the evaluation.
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Starting positions are marked with black circles.
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For a better visualisation they were slightly shifted to avoid overlapping.
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\commentByFrank{font war korrekt, aber die groesse war zu gross im vgl. zu den anderen}
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}
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For a better visualisation they were slightly shifted to avoid overlapping.}
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%\commentByFrank{font war korrekt, aber die groesse war zu gross im vgl. zu den anderen}
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\label{fig:paths}
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\end{figure}
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% error development over time while walking along a path
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@@ -80,9 +79,7 @@
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\caption{Error development while walking along Path 4 using the Motorola Nexus 6.
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When leaving the suggested route \refSeg{3}, the error of \textbf{shortest} path \refeq{eq:transShortestPath}
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and \textbf{multi}path \refeq{eq:transMultiPath} increases.
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The same issues arise when facing multimodalities between two staircases just before the destination \refSeg{9}.
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\commentByFrank{hilft das bold vlt. schon um die legende zu verstehen?}
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}
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The same issues arise when facing multimodalities between two staircases just before the destination \refSeg{9}.}
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\label{fig:errorTimedNexus}
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\end{figure}
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% detailed analysis of path 4
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@@ -149,8 +146,8 @@
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\begin{figure}
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\input{gfx/eval/error_dist_nexus}
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\caption{Error distribution of all walks conducted with the Motorola Nexus 6 for distinct percentile values.
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Our proposed methods clearly provide an enhancement for the overall localization process.
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\commentByFrank{percentile erwaehnt}}
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Our proposed methods clearly provide an enhancement for the overall localization process.}
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%\commentByFrank{percentile erwaehnt}
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\label{fig:errorDistNexus}
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\end{figure}
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%\begin{figure}
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@@ -163,7 +160,7 @@
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depicts the error development for several percentile values. As can be seen, adding prior
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knowledge is able to improve the localisation for all examined situations, even when
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leaving the suggested path or when facing bad/slow sensor readings.
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\commentByFrank{fig. \ref{fig:errorDistNexus} erwaehnt}
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%\commentByFrank{fig. \ref{fig:errorDistNexus} erwaehnt}
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% error values
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\begin{table}
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