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localiSation

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Toni
2016-02-29 13:38:58 +01:00
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@@ -29,7 +29,7 @@ must be executed and thus often yields a high computational complexity.
These disadvantages can be avoided by using spatial models like indoor graphs. These disadvantages can be avoided by using spatial models like indoor graphs.
Here, two main classes can be distinguished: symbolic and geometric spatial models \cite{Afyouni2012}. Here, two main classes can be distinguished: symbolic and geometric spatial models \cite{Afyouni2012}.
Especially geometric spatial models (coordinate-based approaches) are very popular, since they integrate metric properties to provide highly accurate location and distance information. Especially geometric spatial models (coordinate-based approaches) are very popular, since they integrate metric properties to provide highly accurate location and distance information.
One of the most common environmental representations in indoor localization literature is the Voronoi diagram \cite{Liao2003}. One of the most common environmental representations in indoor localisation literature is the Voronoi diagram \cite{Liao2003}.
It represents the topological skeleton of the building's floorplan as an irregular tessellation of space. It represents the topological skeleton of the building's floorplan as an irregular tessellation of space.
This drastically removes degrees of freedom from the map, and results in a low complexity. This drastically removes degrees of freedom from the map, and results in a low complexity.