gfx change
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@@ -1,3 +1,5 @@
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\newcommand{\refPathA}{\ref{fig:int_path2_comp}a}
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\newcommand{\refPathB}{\ref{fig:int_path2_comp}b}
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\section{Experiments}
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% all paths we evaluated
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@@ -93,7 +95,7 @@ Using the FBS, the Galaxy donates an average approximation error of \SI{4.03}{\m
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In contrast the Nexus 6 filters at \SI{5.11}{\meter} and results in \SI{3.87}{\meter} for smoothing.
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The BS has a similar improvement rate.
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A visual example of the smoothing outcome for path 3 is illustrated in fig. \ref{fig:int_path3_a}.
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A visual example of the smoothing outcome for path 3 is illustrated in fig. \refPathA{}.
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It can be clearly seen, how the smoothing compensates for the faulty detected floor change using future knowledge.
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@@ -114,12 +116,15 @@ The estimation of BS looks way more realistic and adapts better to the ground tr
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% \label{fig:int_path2_b}
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%\end{subfigure}
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%\caption{a) Exemplary results for path 2 where BS (blue) and filtering (green) using 2500 particles and 500 sample realisations. b) A situation where BS smoothing was not able to improve the filtering results. Two main factors are causing this: an initial position within a detached room and inaccurate pressure readings given by the Galaxy S5.}
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\centering
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\input{gfx/eval/interval_path2_compare/path2_interval_compare}
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\caption{left) Exemplary results for path 2 where BS (blue) and filtering (green) using 2500 particles and 500 sample realisations. right) A situation where BS smoothing was not able to improve the filtering results. Two main factors are causing this: an initial position within a detached room and inaccurate pressure readings given by the Galaxy S5.}
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\caption{a) Exemplary results for path 2 where BS (blue) and filtering (green) using 2500 particles and 500 sample realisations. b) A situation where BS smoothing was not able to improve the filtering results. Two main factors are causing this: an initial position within a detached room and inaccurate pressure readings given by the Galaxy S5.}
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\label{fig:int_path2_comp}
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\end{figure}
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%
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%
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Despite the very good outcomes provided by both interval smoother, there are some rare situations in which smoothing does not improve the filtered estimation or even improves the visual path.
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For example fig. \ref{fig:int_path3_b} depicts such a situation for path 3 using BS and measurements provided by the Galaxy S5.
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For example fig. \refPathB{} depicts such a situation for path 3 using BS and measurements provided by the Galaxy S5.
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Here, the estimation was not able to change floors correctly due to faulty pressure readings. Additionally, the initial position was located within a detached room.
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This shows that the smoothing results are of course highly depend upon the filtering performance.
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