added two graphics for schoenmaching
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@@ -113,13 +113,18 @@ This phenomena could be observed for both smoothers respectively.
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At next, we discuss the advantages and disadvantages of utilizing FBS and BS as fixed-lag smoother.
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Compared to fixed-interval smoothing, timely errors are now of higher importance due to an interest on real-time localization.
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Especially interesting in this context are small lags $\tau < 10$ considering filter updates near \SI{500}{\milli\second}.
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Fig. \ref{} illustrates the different estimations for path 4 using a fixed-lag $\tau = 5$.
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Fig. \ref{fig:lag_comp_path4} illustrates the different estimations for path 4 using a fixed-lag $\tau = 5$.
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The associated approximation errors alongside the path can additionally be seen in fig. \ref{fig:lag_error_path4}.
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Due to the small number of sample realisations for BS and the additional resampling for FBS, the errors are changing very frequently in contrast to the filter.
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For better distinction, the path was divided into $10$ individual segments.
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%
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\begin{figure}
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\input{gfx/eval/lag_path4_error/error_timed_costum}
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\input{gfx/eval/lag_path4_comp/path4_lag_comp}
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\caption{Hier muss ich noch was schreiben. Bin aber seeeehr muede. Geh jetzt ins Bett. Nachti.}
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\label{fig:lag_comp_path4}
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\end{figure}
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\begin{figure}
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\input{gfx/eval/lag_path4_comp/error_timed}
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\caption{Hier muss ich noch was schreiben. Bin aber seeeehr muede. Geh jetzt ins Bett. Nachti.}
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\label{fig:lag_error_path4}
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\end{figure}
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