More small fixes
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@@ -47,7 +47,7 @@ Especially, methods using relative measurements like pedestrian dead reckoning a
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Nevertheless, this method is very easy to implement and we expect that the system should be able to recover from nearly every situation regardless of the cause.
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A second method we suggest within this paper is a simplified version of our approach presented in \cite{Fetzer-17}.
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Here, we used an additional, very simple particle filter to monitor if our primary (localisation) filter suffers from sample impoverishment.
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Here, we used an additional, very simple particle filter to monitor if our primary (localization) filter suffers from sample impoverishment.
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If that is true, both filters are combined by exchanging particles among each other.
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This allows the primary filter to recover, while retaining prior knowledge.
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However, we believe that such a combination of two independent filters is not necessary for most scenarios and thus the resulting overhead can be avoided.
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