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tex/chapters/abstract.tex

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-abstract
-system setup kostet oft sehr viel zeit [fingerprinting kostet]
-deshalb werden alternativen untersucht:
-bekannte AP position mit empirischen parametern
-und optimierung durch einige referenzmessungen
+\begin{abstract}
 
-floorplan wird für die navigation bzw orientierung des anwenders eh gebraucht
-dann kann man ihn auch gleich für ein bewegungsmodell nutzen
+	Indoor localization and indoor pedestrian navigation is an active field of research 
+	with increasing attention.
+	%
+	As of today, many systems will run on commodity smartphones but most of them still rely on
+	fingerprinting, which demands for high setup- and maintenance-times.
+	Alternatives, such as simple signal strength prediction models, provide fast setup times,
+	but often do not provide the accuracy required for use-cases like indoor navigation or
+	location-based services.
+	%
+	While more complex models provide an increased accuracy by including architectural knowledge 
+	about walls and other obstacles, they often require additional computation during runtime and
+	demand for prior knowledge during setup.
+	
+	Within this work we will thus focus on simple, easy to set-up models and evaluate their
+	performance compared to real-world measurements. The evaluation ranges from a fully empiric, instant
+	setup, given the transmitter locations are well-known, to a highly optimized scenario based
+	on some reference measurements within the building. Furthermore, we will propose a new 
+	signal strength prediction model as a combination of several simple ones. This tradeoff
+	increases accuracy with only minor additional computations.
+	%
+	All of the optimized models are evaluated within an actual smartphone-based
+	indoor localization system. This system uses the phone's \docWIFI{}, barometer and IMU
+	to infer the pedestrian's current location via recursive density estimation based on particle filtering.
+	
+	We will show that while a \SI{100}{\percent} empiric parameter choice for the model already provides enough
+	accuracy for many use-cases, a small number of reference measurements is enough to dramatically increase
+	such a system's performance.
+	
+	
+	
+	
 
-es sollte klar werden, dass es auch darum geht, effizient
-auf einem normalen smartphone lauffähig zu sein [passend zum journal]
+	%system setup kostet oft sehr viel zeit [fingerprinting kostet]
+	%deshalb werden alternativen untersucht:
+	%bekannte AP position mit empirischen parametern
+	%und optimierung durch einige referenzmessungen
 
+	%floorplan wird für die navigation bzw orientierung des anwenders eh gebraucht
+	%dann kann man ihn auch gleich für ein bewegungsmodell nutzen
+
+	%es sollte klar werden, dass es auch darum geht, effizient
+	%auf einem normalen smartphone lauffähig zu sein [passend zum journal]
+
+\end{abstract}
+
+% TODO
+\begin{CCSXML}
+
+\end{CCSXML}
+
+%\ccsdesc[500]{Computer systems organization~Embedded systems}
+%\ccsdesc[300]{Computer systems organization~Redundancy}
+%\ccsdesc{Computer systems organization~Robotics}
+%s\ccsdesc[100]{Networks~Network reliability}
+
+\keywords{\docWIFI{}, indoor localization, sensor fusion}