current state

This commit is contained in:
2017-04-18 18:03:31 +02:00
parent 3e244118cc
commit 11cb939758
18 changed files with 1809 additions and 516 deletions

View File

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