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4 CONCLUSIONS AND FUTURE
WORK
This paper presented hybrid pedestrian localization
system for mobile devices. The key concept is
parallel combination of inertial navigation and Wi-Fi
localization, where both parts are mutually
beneficial. Inertial navigation can be calibrated by
data obtained by Wi-Fi localization. On the other
hand, Wi-Fi localization accuracy can be enhanced
by restraining a selection of improbable results,
when taking sensor data into account – mainly the
digital compass and the approximated travelled
distance.
In our previous research, we have focused on
developing inertial navigation based on step
counting. We have implemented techniques for step
detection, which proved to be nearly 100% positive
in detecting steps while walking continuously. Now,
we are implementing the Compass system enhanced
by clustering. Current prototype is capable of
localizing a pedestrian with an error close to 4
meters. We believe that combination with inertial
navigation will reduce this error and provide better
results. Scaling will also affect the overall speed of
the system.
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