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|Title: ||Context Rich Hybrid Navigation Using Wi-Fi And Geomagnetic Sensors in Smartphones and Map Generation Using Lidar : IPS|
|Authors: ||Alahakoon, D.|
|Issue Date: ||2016|
|Abstract: ||Navigation systems perform a huge role in
traveling component of life. Most importantly it helps people get
to places even in foreign or unfamiliar environments. Even
though there are well-groomed systems to navigate outdoors,
there is no proper way of navigating indoors. People do most of
their activities, business, commerce, entertainment and
socializing indoors. As the growing development and expansions
of these indoor establishments, it has become much more
complex to find places of interest, hence the urgency for a costeffective,
accurate and more generalized solution for indoor
navigation has arisen. This research, we present a complete
Indoor Positioning System, coined IPS, which has an open,
modular, extensible system architecture, which makes it
superlative for a wide range of applications.
This research introduces a way of mapping environments
with less effort, it uses a technology called ‘LIDAR,’ which is
clearly feasible for the requirement of indoor map generation.
IPS is implemented with a set of crowdsourcing-supportive
mechanisms to handle the collective amount of raw data, filter
incorrect user contributions and rouge Wi-Fi data from diverse
mobile devices. Furthermore, it uses a big-data architecture for
effective storage and retrieval of localization and mapping data.
In this research, presented service relies on the sensitive data
collected by smartphones (Wi-Fi signal strength and geomagnetic
measurements) to deliver reliable indoor geolocation
|Appears in Collections:||SLIIT Student Research -2016|
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