\chapter{Experiment 2: Movement Behaviour with Mean Correction}
\todo{}

\section{Setup}
Fit function from data in experiment 1; algorithm determined target value for
distance from fit function and input distance and input velocity.

approach: correct imprecise measurement

Setup was the same as in experiment 1. Application on netbook was
"`mean\_correction\_test"', same procedure as in first experiment.

expectations \& were they fulfilled?

\section{Results}
\begin{figure}
 \centering
 \includegraphics[width=\textwidth]{images/iz250flur_drive-mean_data.pdf}
 \caption{foo}
\end{figure}
\begin{figure}
 \centering
 \includegraphics[width=\textwidth]{images/iz250flur_turn-mean_data.pdf}
 \caption{foo}
\end{figure}
\begin{figure}
 \centering
 \includegraphics[width=\textwidth]{images/seminarraum_drive-mean_data.pdf}
 \caption{foo}
\end{figure}
\begin{figure}
 \centering
 \includegraphics[width=\textwidth]{images/seminarraum_drive-mean_data.pdf}
 \caption{foo}
\end{figure}

results better than in experiment 1, very accurate for laminate floor, carpet
floor more spread but still kind of in the middle and less deviation from ideal
value.
\todo{statistical values, stddev?}
