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@@ -58,11 +58,15 @@
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$p(\mStateVec_{t} \mid \mStateVec_{t-1}, \mObsVec_{t-1})$ are sampled
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based on those sensor values.
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Thus, the overall system works as described in \cite{Ebner-16}.
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As this work focuses on \docWIFI{} optimization, not all parts of
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the localization system are discussed in detail.
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For missing explanations please refer to \cite{Ebner-16}.
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%
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Since then, absolute heading and GPS have been added as additional sensors
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to further enhance the localization.
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to further enhance the localization by comparing the sensor values
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using some distribution.
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\todo{neues resampling?}
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\todo{ueberleitung}
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\todo{
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@@ -70,7 +74,7 @@
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dafür braucht man entweder viele fingerprints oder ein modell
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}
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As GPS will only work outdoors, e.g. when moving from one building into another,
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the system's absolute position is solely provided by the \docWIFI{} component.
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the system's absolute position indoors is solely provided by the \docWIFI{} component.
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Therefore its crucial for this component to provide location estimations
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that are as accurate as possible, while ensuring fast setup and
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maintenance times.
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