11 lines
796 B
TeX
11 lines
796 B
TeX
\begin{abstract}
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This technical description gives a 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.
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A highly modular system fusing different sensors, namely Wi-Fi, iBeacons, barometer, step- and turn-detection, will be shown.
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Additionally, extended knowledge provided by prior and past data is incorporate by natural walking paths and smoothing.
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The system performs all calculations in real time on a commercial smartphone using a high number of particles.
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\commentByFrank{particles? haben wir das hier schon eingefuehrt?}
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\end{abstract}
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%\begin{IEEEkeywords} indoor positioning, Monte Carlo smoothing, particle smoothing, sequential Monte Carlo\end{IEEEkeywords}
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