|
ISSN: 1820-0206
First published in
1950
About the journal
Editorial board
All
issues
Latest issue
Issue in progress
Publishing
Policy
Guide for authors
Reviwers guidelines
Submit your article
Contact
|
doi:10.5937/OTEH2402032R
Vol. 74, No.2 (2024), Pages:
32-37
Impressum
Contents
Angle Based Computer Vision Target Locallization Module for Enhanced
Military Surveillance
Marko Radovanović
Aleksandar Petrovski
Aner Behlić
Rexhep Mustafovski
Kristijan Ilievski
Željko Jokić
Sofija Ackovska
This paper presents a novel system for accurately mapping military
targets using a combination of trigonometry and computer vision,
deployed through unmanned aerial vehicles (UAVs). The proposed
system integrates a drone equipped with a camera and employes
trigonometric principles to calculate target distances based on the
drone's position, angles and elevation. Upon sighting a target, the
system utilizes computer vision algorithms to precisely identify and
localize it within the drone's field of view. Subsequently,
leveraging the calculated distances and the drone's GPS coordinates,
the system accurately maps the target's coordinates on a global
positioning system (GPS). The integration of trigonometry and
computer vision enhances target localization capabilities,
facilitating efficient and precise mapping of military objectives in
diverse operational environments. This system holds significant
potential for enchancig situational awareness and operational
effectiveness in military applications.
Key words: Computer Vision, Target Localization, Military
Surveillance, UAV, GPS, Angle.
DOWNLOAD PDF
|