grid changes only
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@@ -73,6 +73,7 @@
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route calculation.
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route calculation.
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\subsection{wall avoidance}
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\subsection{wall avoidance}
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\label{sec:wallAvoidance}
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As already mentioned, shortest-path calculation usually sticks close to walls to reduce the path's length.
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As already mentioned, shortest-path calculation usually sticks close to walls to reduce the path's length.
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Pedestrian's however, walk either somewhere near (but not close to) a wall or, for larger hallways/rooms,
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Pedestrian's however, walk either somewhere near (but not close to) a wall or, for larger hallways/rooms,
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@@ -100,6 +101,7 @@
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\subsection{door detection}
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\subsection{door detection}
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\label{sec:doorDetection}
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Doors are usually anchored between two (thin) walls and have a normed width. Examining only a limited region
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Doors are usually anchored between two (thin) walls and have a normed width. Examining only a limited region
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around the door, its surrounding walls describe a flat ellipse with the same center as the door itself. It is thus
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around the door, its surrounding walls describe a flat ellipse with the same center as the door itself. It is thus
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@@ -210,9 +212,10 @@
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\newcommand{\pathRef}{v_{\hat{x},\hat{y},\hat{z}}}
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\newcommand{\pathRef}{v_{\hat{x},\hat{y},\hat{z}}}
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This center is used as starting-point for the shortest path. As it is not necessarily part of
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This center is used as starting-point for the shortest path. As it is not necessarily part of
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the grid, its nearest-grid-neighbor is used instead.
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the grid, its nearest-grid-neighbor is determined and used instead.
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The resulting node already knows its way to the pedestrian's destination, but is located somewhere
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The resulting vertex already knows its way to the pedestrian's destination, but is located somewhere
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within the deviation of the sample set. After slightly advancing it by a fixed value of about \SI{5}{\meter}
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within the sample-set. We thus calculate the standard deviation for the distance
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of all states from the center. After advancing the starting-vertex by three times the deviation
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we get a new point outside of the sample-set and closer to the desired destination.
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we get a new point outside of the sample-set and closer to the desired destination.
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This new reference node $\pathRef$ serves as a comparison base:
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This new reference node $\pathRef$ serves as a comparison base:
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