An Improved Android Based Application for Traveler Location Monitoring Using Ray Casting Geo-fence and Kalman Filter Algorithm

Abstract

Geo-fencing is a virtual perimeter in a geographical area that uses location-based services as a boundary for an area. To provide better accuracy and improving tracking of travellers using an optimized virtual fencing (geo-fence) to detect unusual user locations. This work presents a proposed technique for testing the possibilities of merging a geo-fencing technique and Kalman Filter to provide more accurate data to the smartphone users. The location monitoring system is an LBS (Location Based Services) system which utilizes the GPS found on a smartphone. This location is subjected to error variance using Kalman filter and then sent to the server. The server will display the location of the traveller’s whereabouts on a map that can be accessed via the website or next of kins smartphone. The use of geo-fencing would limit traveller supervision areas and notification will appear to user in the form of a message or alarm via their smartphone device should in case the traveller leaves the Geo-fence area. The proposed scheme presents a model that allows family members to directly monitor the whereabouts of loved ones using the incorporation of Geofencing technology, Kalman filter, GPS, and SMS (Short Messages Services). KEYWORDS: Geo-fence, tracking, Location Based Services, Smartphone, coordinates, Kalman Filter