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final competition

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Toni
2016-07-13 21:43:37 +02:00
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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