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removed importance
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kazu
2016-05-09 13:13:57 +02:00
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tex/chapters/filtering.tex
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@@ -102,13 +102,13 @@
% from clinging to walls. Obviously this has a negative effect on doors which are surrounded by walls. Therefore, doors are detected
% and favoured by decreasing their edge-weight.
\commentByFrank{Architectural hab ich mal gelassen, aber so umgeschrieben, dass es keinen bezug mehr zum pfad hat}
Walking a grid of vertices without architectural knowledge, would evenly include vertices, a pedestrian
is unlikely to encounter: e.g. vertices that are (very) close to walls.
To ensure realistic (human like) movements, we include architectural knowledge to prioritise some of the grid's vertices \cite{Ebner-16}:
Each vertex's distance from the nearest wall is used to determine its likelihood and thus downvote nodes close to walls and
other obstacles. Obviously this has a negative effect on doors, which are surrounded by walls. Therefore, doors are detected
as well and favoured by increasing their likelihood.
%\commentByFrank{Architectural hab ich mal gelassen, aber so umgeschrieben, dass es keinen bezug mehr zum pfad hat}
% Walking a grid of vertices without architectural knowledge, would evenly include vertices, a pedestrian
% is unlikely to encounter: e.g. vertices that are (very) close to walls.
% To ensure realistic (human like) movements, we include architectural knowledge to prioritise some of the grid's vertices \cite{Ebner-16}:
% Each vertex's distance from the nearest wall is used to determine its likelihood and thus downvote nodes close to walls and
% other obstacles. Obviously this has a negative effect on doors, which are surrounded by walls. Therefore, doors are detected
% as well and favoured by increasing their likelihood.
%\subsubsection{Step- \& Turn-Detection}
Steps and turns are detected using the smartphone's IMU, implemented as described in \cite{Ebner-15}.