localiSation
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@@ -29,7 +29,7 @@ must be executed and thus often yields a high computational complexity.
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These disadvantages can be avoided by using spatial models like indoor graphs.
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Here, two main classes can be distinguished: symbolic and geometric spatial models \cite{Afyouni2012}.
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Especially geometric spatial models (coordinate-based approaches) are very popular, since they integrate metric properties to provide highly accurate location and distance information.
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One of the most common environmental representations in indoor localization literature is the Voronoi diagram \cite{Liao2003}.
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One of the most common environmental representations in indoor localisation literature is the Voronoi diagram \cite{Liao2003}.
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It represents the topological skeleton of the building's floorplan as an irregular tessellation of space.
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This drastically removes degrees of freedom from the map, and results in a low complexity.
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