Hybrid GPS-GSM Localization of Automobile Tracking System

TL;DR

This paper presents a hybrid GPS-GSM vehicle tracking system that uses Kalman filtering to improve location accuracy and visualizes data via Google Earth for fleet management and security applications.

Contribution

It introduces an integrated GPS-GSM system with Kalman filtering for enhanced accuracy and real-time visualization using Google Earth, tailored for vehicle tracking applications.

Findings

Kalman filter improves GPS position accuracy

System enables real-time vehicle tracking

Application supports fleet and security management

Abstract

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.