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MBulli
2018-09-16 20:16:47 +02:00
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tex/chapters/conclusion.tex
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@@ -3,7 +3,7 @@
%what you have seen
Within this work we provided an extensive overview of our smartphone-based indoor localization system.
The thorough evaluation demonstrated the good performance under multiple scenarios within a complex environment.
The system is able to handle problems like sample impoverishment and multimodal densities, occurring through the us of a particle filtering scheme.
The system is able to handle problems like sample impoverishment and multimodal densities, occurring through the use of a particle filtering scheme.
The main advantage of our approach is its suitability for practical use.
Compared to other state-of-the-art solutions, the setup time is only a few hours and does not require any expert knowledge or hardware.
The localization runs solely an a commercial smartphone, thus no connection to a server or the Wi-Fi infrastructure is required.
@@ -17,7 +17,7 @@ Especially in buildings where elevators pass many floors, the transition fails t
Here, we need to incorporate special environmental knowledge about elevators and escalators or again integrate a probabilistic sensor model for the barometer as already done in previous works \cite{Ebner-15}.
A crucial point to further increase the accuracy of the system is the choice of the signal strength prediction model.
At the moment we consider only the attenuation per floor, however by including information about walls and other obstacles, we should be able to decrease the error at the cost of additional computations.
Currently we consider only the attenuation per floor, however by including information about walls and other obstacles, we should be able to decrease the error at the cost of additional computations.
Instead of providing those additional environmental informations by manual measurements, the optimization scheme could be used to approximate the respective model and material parameters.
Special data-structures for pre-computation combined with online interpolation might then be a viable choice for utmost accuracy that is still able to run on a commercial smartphone in real-time.