A method for geolocating distant objects using a MEMS gyroscope

This paper presents a new method for geolocating distant objects using a MEMS (micro-electromechanical systems) gyroscope and available GPS (Geographics Positioning System) coordinates of the measurement positions. Using this method, GPS coordinates of a distant object can be calculated based on two successive gyroscope measurements of the angle which forms the distant object and horizontal line. The measurements can be taken from an UAV (Unmanned Aerial Vehicle) or manually from the ground, where GPS signal is available. Accuracy of the method has been tested experimentally using the developed embedded system based on the STM32F103 microcontroller, gyroscope MPU-6050 and NEO-6M GPS module.

Authors

Institutions

Publication Details

Published
2025-03-19
DOI
https://doi.org/10.1109/infoteh64129.2025.10959211
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A method for geolocating distant objects using a MEMS gyroscope

Enes Saletović, Malik Kriještorac
Inertial Sensor and Navigation
article

A method for geolocating distant objects using a MEMS gyroscope

Enes Saletović, Malik Kriještorac
article en

Abstract

This paper presents a new method for geolocating distant objects using a MEMS (micro-electromechanical systems) gyroscope and available GPS (Geographics Positioning System) coordinates of the measurement positions. Using this method, GPS coordinates of a distant object can be calculated based on two successive gyroscope measurements of the angle which forms the distant object and horizontal line. The measurements can be taken from an UAV (Unmanned Aerial Vehicle) or manually from the ground, where GPS signal is available. Accuracy of the method has been tested experimentally using the developed embedded system based on the STM32F103 microcontroller, gyroscope MPU-6050 and NEO-6M GPS module.

Sarajevo School of Science and Technology (BA)
Openalex Percentile: Top 90%
Inertial Sensor and Navigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.