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Virtualización de artefactos explosivos para entrenamiento militar: desarrollo de una aplicación interactiva para la visualización

Authors: Gualdria Carranza, Juan Felipe; Díaz Naranjo, Mateo; Espitia Rodríguez, Karen Matilde;

Virtualización de artefactos explosivos para entrenamiento militar: desarrollo de una aplicación interactiva para la visualización

Abstract

El entrenamiento de soldados en la identificación y desactivación de Artefactos Explosivos (AE) es una tarea critica la cual conlleva riesgos y costos elevados al utilizar explosivos reales desactivados. Este proyecto se enfoca en dar una solución innovadora mediante la virtualización de artefactos explosivos, tales como minas explosivas; minas de fragmentación direccional; minas de fragmentación delimitadoras; minas de fragmentación omnidireccionales, por medio de una aplicación interactiva la cual permita a los soldados visualizar y desarmar estos dispositivos de manera segura y eficiente, sin necesidad de recurrir a explosivos reales. En este contexto aparece la necesidad de innovar en los métodos de entrenamiento mediante el uso de tecnología vanguardista que permita simular de manera precisa, realista y segura, el proceso de identificación y desactivación de Artefactos Explosivos. Entre estas tecnologías contamos con distintas técnicas como la inteligencia artificial (IA), la fotogrametría y el desarrollo de software para crear modelos de 3D precisos y funcionalidades interactivas que mejoren la experiencia de entrenamiento.

Training soldiers in the identification and deactivation of explosive devices (EDs) is a critical task that entails high risks and costs when using real, deactivated explosives. This project focuses on providing an innovative solution through the virtualization of explosive devices, such as explosive mines, directional fragmentation mines, boundary fragmentation mines, and omnidirectional fragmentation mines, using an interactive application that allows soldiers to visualize and disarm these devices safely and efficiently, without the need to resort to real explosives. In this context, there is a need to innovate in training methods through the use of cutting-edge technology that allows the identification and deactivation process of explosive devices to be accurately, realistically, and safely simulated. These technologies include different techniques such as artificial intelligence (AI), photogrammetry, and software development to create precise 3D models and interactive features that enhance the training experience.

Ingeniero en Mecatrónica

Trabajo de grado

Country
Colombia
Related Organizations
Keywords

Modelado 3D, Ingeniería mecánica, Dispositivos electromecánicos, photogrammetry, 3D modeling, Realidad virtual, Fotogrametría, Explosive devices, Artificial Intelligence, entrenamiento militar, Artefacto explosivos, Inteligencia Artificial, military training, Mecatrónica

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green