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

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5
competition/tex/chapters/abstract.tex
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@@ -2,9 +2,6 @@
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.
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.
\commentByFrank{particles? haben wir das hier schon eingefuehrt?}
The system performs all calculations in real time on a commercial smartphone using a high number of samples for approximation.
\end{abstract}
%\begin{IEEEkeywords} indoor positioning, Monte Carlo smoothing, particle smoothing, sequential Monte Carlo\end{IEEEkeywords}

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competition/tex/chapters/barometer.tex
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\subsection{Barometer}
If available, the Smartphone's barometer is used to infer the likeliness of the current $z$-location.
If available, the smartphone's barometer is used to infer the likeliness of the current $z$-location.
%
As ambient pressure readings are highly influenced by environmental conditions
like the weather, time-of-day and others \cite{Muralidharan14-BPS},

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competition/tex/chapters/components.tex
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@@ -20,7 +20,7 @@ By assuming statistical independence of all sensors, the probability density of
\docIBeacon{}s and by $p(\vec{o}_t \mid \vec{q}_t)_\text{wifi}$ for \docWIFI{}.
Compared to other state-of-the-art systems, step- and turn-detection are not incorporated into the evaluation step.
In our approach it stabilizes and improves the sampling of states $\vec{q}$ into moving more realistically. The transition step is the carried out using random walks on a graph, which is built offline, and uses the building's floorplan \cite{ebner-16}.
In our approach it stabilizes and improves the sampling of states $\vec{q}$ into moving more realistically. The transition step is then carried out using random walks on a graph, which is built offline, and uses the building's floorplan \cite{ebner-16}.
\input{chapters/barometer.tex}

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competition/tex/chapters/introduction.tex
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@@ -4,11 +4,10 @@ The navigation system is based on our previous works, primarily on the approach
For this, we have been awarded the best overall paper award at IPIN 2015 in Banff, Canada.
Since then, we extended our approach by prior navigation knowledge using realistic human walking paths \cite{ebner-16} and smoothing methods \cite{fetzer-16}.
Additionally, a self-developed map editor allows for creating advanced 3D maps and realistically shaped stairs.
Compared to many other systems, we avoid any time-consuming fingerprinting and calibration processes and are able to start with a uniform distribution over the whole building.
\commentByFrank{= we do not need any prior information on the pedestrian's starting position}
Compared to many other systems, we avoid any time-consuming fingerprinting and calibration processes.
Further, we do not need any prior information on the pedestrian's starting position.
All calculations are computed in real time on a commercial smartphone, in most of our examples this is the Motorola Nexus 6 or the Samsung Galaxy S5.
The system is implemented in C++ using the Qt framework and OpenCL.
\commentByFrank{aktuell noch kein OpenCL leider}
The system is implemented in C++ using the Qt framework.
\begin{figure}
\centering

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competition/tex/chapters/performance.tex
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@@ -18,7 +18,7 @@ Starting uniformly distributed, the median error for all conducted walks are lis
Additionally performing a smoothing step, would further improve the results and reduces temporal errors, as shown in \cite{fetzer-16}.
%
\begin{table}[h]
\caption{Median error for all conducted walks. \commentByFrank{without smoothing?}}
\caption{Median error for all conducted walks without smoothing. }
\label{tbl:errNexus}
\centering
\begin{tabular}{|l|c|c|c|c|}
@@ -29,4 +29,3 @@ Additionally performing a smoothing step, would further improve the results and
\end{tabular}
\end{table}

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competition/tex/egbib.bib
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@@ -1574,7 +1574,7 @@ doi={10.1109/ICCKE.2013.6682841},}
@inproceedings{Muralidharan14-BPS,
author = {Muralidharan, Kartik and Khan, Azeem Javed and Misra, Archan and Balan, Rajesh Krishna and Agarwal, Sharad},
title = {Barometric Phone Sensors: More Hype Than Hope!},
title = {{Barometric Phone Sensors: More Hype Than Hope!}},
booktitle = {Proc. of the 15th Workshop on Mobile Computing Systems and Applications},
year = {2014},
isbn = {978-1-4503-2742-8},