second draft finish - false images

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toni
2017-05-11 04:08:04 +02:00
parent 210fae56b7
commit c0ee2f7738
15 changed files with 9457 additions and 26284 deletions

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@@ -134,6 +134,7 @@ Given the above, we are now able to implement two different localisation schemes
The graph-based transition keeps the localisation error low by using a very realistic propagation model, while being prone to sample impoverishment.
On the other hand, the simple transition provides a high diversity with a robust, but uncertain position estimation.
Both are evaluating a state $\mStateVec_{t}$ using \eqref{eq:evalBayes}.
In the upcoming, the filter using the graph-based transition is refereed to as \textit{graph-based filter} and the filter using the simple transition as \textit{simple filter}.
%
%In the following, two very different transition models, each providing one of this abilities, are presented.