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eine neue runde eine neue reviewfahrt

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toni
2018-11-07 16:42:06 +01:00
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tex_review/chapters/introduction.tex
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@@ -13,7 +13,7 @@ Since 1936, the \SI{2500}{\square\meter} building acts as a museum of the mediev
Such buildings are often full of nooks and crannies, what makes it hard for dynamical models using any kind of pedestrian dead reckoning (PDR). Here, the error accumulates not only over time, but also with the number of turns and steps made \cite{Ebner-15}.
\del{There is also a higher chance of detecting false or misplaced turns,} \add{There is also a higher probability of detecting a wrong turn,} what can cause the position estimation to lose track or getting stuck within a demarcated area.
Thus, this paper presents a \del{robust but realistic} \add{continuous} movement model using a three-dimensional navigation mesh based on triangles.
\add{In addition, a novel threshold-based activity-recognition is used to allow for smooth floor changes.}
\add{In addition, a \del{novel} threshold-based activity-recognition is used to allow for smooth floor changes.}
%In addition, this allows for very small map sizes, consuming little storage space.
In localization systems using a sample based density representation, like particle filters, aforementioned problems can further lead to more advanced problems like sample impoverishment \cite{Fetzer-17} or multimodalities \cite{Fetzer-16}.
@@ -51,7 +51,7 @@ In the here presented scenario, the beacons do not establish a wireless network
To sum up, \add{this work presents an updated version of the winning localization system of the smartphone-based competition at IPIN 2016 \cite{Ebner-15}, including the improvements and newly developed methods that have been made since then \cite{Ebner-16, Ebner-17, Fetzer-17, Bullmann-18}.
This is the first time that all these previously acquired findings have been fully combined and applied simultaneously.
During the here presented update, the following novel contributions will be presented and added to the system:
During the here presented update, the following contributions will be presented and added to the system:
\begin{itemize}
\item The pedestrian's movement is modelled in a more realistic way using a navigation mesh, generated from the building's floor plan. This only allows movements that are actually feasible, e.g. no walking through walls. Compared to the gridded-graph structure we used before \cite{Ebner-16}, the mesh allows continuous transitions and reduces the required storage space drastically.
\item To enabled more smooth floor changes, a threshold-based activity recognition using barometer and accelerometer readings is added to the state evaluation process of the particle filter. The method is able to distinguish between standing, walking, walking up and walking down.
@@ -69,9 +69,12 @@ The existing Wi-Fi infrastructure can consist of the aforementioned Wi-Fi beacon
The combination of both technologies is feasible.
Nevertheless, the museum considered in this work has no Wi-Fi infrastructure at all, not even a single access point.
Thus, we distributed a set of \SI{42}{beacons} throughout the complete building by simply plugging them into available power outlets.
In addition to evaluating the novel contributions and the overall performance of the system, we have carried out further experiments to determine the performance of our Wi-Fi optimization in such a complex scenario as well as a detailed comparison between KDE-based and weighted-average position estimation.}
In addition to evaluating the contributions and the overall performance of the system, we have carried out further experiments to determine the performance of our Wi-Fi optimization in such a complex scenario as well as a detailed comparison between KDE-based and weighted-average position estimation.}
%novel experiments to previous methods due to the complex scenario blah und blub.}
%Finally, it should be mentioned that the here presented work is an highly updated version of the winner of the smartphone-based competition at IPIN 2016 \cite{Ebner-15}.
\blfootnote{We would like to take this opportunity to thank Dr. Helmuth M\"ohring and all other employees of the Reichsstadtmuseum Rothenburg for the great cooperation and the provision of their infrastructure and resources. }
%großer vorteil vom navmesh. gleichbleibende genauigkeit bei viel viel geringerem speicherbedarf. man muss auch nichts einstellen wie die grid size. einmal noch hier in der intro und in der transition hinzufügen. die genauigkeiten zwischen navmesh und grid sind sehr ähnlich <- in der eval nochmal schreiben.