and fixed gfx nexus-legend
This commit is contained in:
2016-02-23 15:55:40 +01:00
6 changed files with 48 additions and 51 deletions

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