International Journal of Computer Science and Information Technology · 2011 · 104 citations · 12 references
ComputingAutomotive EngineeringInformation TechnologyGlobal Navigation Satellite SystemsSensor FusionTransportationIntelligent Transportation SystemsKalman FilteringPrecise Point PositioningSensor Fusion For LocalizationTelematics SystemsVehicle-to-everything CommunicationData ProcessingGlobal Positioning SystemHybrid LocalizationKalman Filter-based LocalizationLocation TrackingPositionVehicle NavigationVehicle Tracking Systems
The system aims to track vehicles for fleet management, police distribution, and theft prevention using an integrated GPS‑GSM platform. It employs a GPS unit on the vehicle, transmits position and vehicle data via GSM SMS, applies a Kalman filter to refine coordinates, and displays the processed location on Google Earth.
An integrated GPS-GSM system is proposed to track vehicles using Google Earth application. The remote module has a GPS mounted on the moving vehicle to identify its current position, and to be transferred by GSM with other parameters acquired by the automobile's data port as an SMS to a recipient station. The received GPS coordinates are filtered using a Kalman filter to enhance the accuracy of measured position. After data processing, Google Earth application is used to view the current location and status of each vehicle. This goal of this system is to manage fleet, police automobiles distribution and car theft cautions.
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