SYAIJan 12, 2012

Hybrid GPS-GSM Localization of Automobile Tracking System

arXiv:1201.2630v1139 citations
Originality Synthesis-oriented
AI Analysis

This addresses fleet management and theft prevention for organizations, but it is incremental as it combines existing technologies.

The paper tackled vehicle tracking by integrating GPS and GSM with a Kalman filter for accuracy, achieving enhanced position measurement for fleet management and security applications.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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