revise intro 2
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@@ -67,6 +67,8 @@ Consequently, we believe that by utilizing our localization approach to such a c
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\add{To initially set up the system we only require a blueprint to create the floorplan, some Wi-Fi infrastructure, without any further information about access point positions or parameters, and a smartphone carried by the pedestrian to be localized.
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The existing Wi-Fi infrastructure can consist of the aforementioned Wi-Fi beacons and / or already existing access points.
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The combination of both technologies is feasible, depending on the scenario and building.
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Nevertheless, the museum considered in this work has no Wi-Fi infrastructure at all, not even a single access point.
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Thus, we distributed a set of \SI{42}{beacons} throughout the complete building by simply plugging them into available power outlets.
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Despite evaluating the novel contributions and the overall performance of the system, we have carried out additional experiments to determine the performance of our Wi-Fi optimization in such a complex scenario as well as a detailed comparison between KDE-based and weighted-average position estimation.}
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%novel experiments to previous methods due to the complex scenario blah und blub.}
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