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Merge branch 'master' of https://git.frank-ebner.de/toni/IPIN2016

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FrankE
2016-07-11 12:18:17 +02:00
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competition/tex/chapters/abstract.tex
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\begin{abstract}
Abstract
This technical description gives an short overview of the indoor localisation and navigation system developed at the University of Applied Sciences W\"urzburg-Schweinfurt and the University of Siegen, Germany.
A highly modular system fusing different sensors, namely Wi-Fi, iBeacons, barometer, step- and turn-detection, will be shown.
Additionally extended knowledge provided by prior and past data is incorporate by natural walking paths and smoothing.
The system performs all calculations in real time on a commercial smartphone using a high number of particles.
\end{abstract}
%\begin{IEEEkeywords} indoor positioning, Monte Carlo smoothing, particle smoothing, sequential Monte Carlo\end{IEEEkeywords}

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competition/tex/chapters/introduction.tex
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\section{System Overview}
The navigation system is based on our previous works, primarily on the approach presented in \cite{ebner-15}.
For this, we have been awarded the best overall paper award at IPIN 2015 in Banff, Canada.
\begin{itemize}
\item Hinfuehren zum System
\item aus welchen arbeiten fuegt sich das system zusammen?