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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/375

Title: Context Rich Hybrid Navigation Using Wi-Fi And Geomagnetic Sensors in Smartphones and Map Generation Using Lidar : IPS
Authors: Alahakoon, D.
Somathilake, P.
Weerawardene, N.
ayakody, A.
Keywords: LIDAR
Map
accurate
device
crowdsourcing
indoor
navigation
scalability
accuracy
Issue Date: 2016
Publisher: SLIIT
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 information.
URI: http://hdl.handle.net/123456789/375
Appears in Collections:SLIIT Student Research -2016

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