From a31fbdee1dccfa9e4e733e6c2cd0e8803276bf17 Mon Sep 17 00:00:00 2001 From: Toni Date: Mon, 29 Feb 2016 13:38:58 +0100 Subject: [PATCH] localiSation --- tex/chapters/relatedwork.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tex/chapters/relatedwork.tex b/tex/chapters/relatedwork.tex index c313bb2..867c346 100644 --- a/tex/chapters/relatedwork.tex +++ b/tex/chapters/relatedwork.tex @@ -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. 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. -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. This drastically removes degrees of freedom from the map, and results in a low complexity.