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A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications
Revisión de algoritmos, métodos y técnicas para la detección de UAVs y UAS en aplicaciones de audio, radiofrecuencia y video
dc.creator | Flórez, Jimmy | |
dc.creator | Ortega, José | |
dc.creator | Betancourt, Andrés | |
dc.creator | García, Andrés | |
dc.creator | Bedoya, Marlon | |
dc.creator | Botero , Juan S. | |
dc.date | 2020-05-15 | |
dc.identifier | https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1408 | |
dc.identifier | 10.22430/22565337.1408 | |
dc.description | Unmanned Aerial Vehicles (UAVs), also known as drones, have had an exponential evolution in recent times due in large part to the development of technologies that enhance the development of these devices. This has resulted in increasingly affordable and better-equipped artifacts, which implies their application in new fields such as agriculture, transport, monitoring, and aerial photography. However, drones have also been used in terrorist acts, privacy violations, and espionage, in addition to involuntary accidents in high-risk zones such as airports. In response to these events, multiple technologies have been introduced to control and monitor the airspace in order to ensure protection in risk areas. This paper is a review of the state of the art of the techniques, methods, and algorithms used in video, radiofrequency, and audio-based applications to detect UAVs and Unmanned Aircraft Systems (UAS). This study can serve as a starting point to develop future drone detection systems with the most convenient technologies that meet certain requirements of optimal scalability, portability, reliability, and availability. | en-US |
dc.description | Los vehículos aéreos no tripulados, conocidos también como drones, han tenido una evolución exponencial en los últimos tiempos, debido en gran parte al desarrollo de las tecnologías que potencian su desarrollo, lo cual ha desencadenado en artefactos cada vez más asequibles y con mejores prestaciones, lo que implica el desarrollo de nuevas aplicaciones como agricultura, transporte, monitoreo, fotografía aérea, entre otras. No obstante, los drones se han utilizado también en actos terroristas, violaciones a la privacidad y espionaje, además de haber producido accidentes involuntarios en zonas de alto riesgo de operación como aeropuertos. En respuesta a dichos eventos, aparecen tecnologías que permiten controlar y monitorear el espacio aéreo, con el fin de garantizar la protección en zonas de riesgo. En este artículo se realiza un estudio del estado del arte de la técnicas, métodos y algoritmos basados en video, en análisis de sonido y en radio frecuencia, para tener un punto de partida que permita el desarrollo en el futuro de un sistema de detección de drones, con las tecnologías más propicias, según los requerimientos que puedan ser planteados con las características de escalabilidad, portabilidad, confiabilidad y disponibilidad óptimas. | es-ES |
dc.format | application/pdf | |
dc.format | text/xml | |
dc.format | text/html | |
dc.language | eng | |
dc.publisher | Instituto Tecnológico Metropolitano (ITM) | en-US |
dc.relation | https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1408/1632 | |
dc.relation | https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1408/1683 | |
dc.relation | https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1408/1732 | |
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dc.rights | Copyright (c) 2020 TecnoLógicas | en-US |
dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0 | en-US |
dc.source | TecnoLógicas; Vol. 23 No. 48 (2020); 269-285 | en-US |
dc.source | TecnoLógicas; Vol. 23 Núm. 48 (2020); 269-285 | es-ES |
dc.source | 2256-5337 | |
dc.source | 0123-7799 | |
dc.subject | Drone detection | en-US |
dc.subject | Deep Learning detection | en-US |
dc.subject | Machine Learning classification | en-US |
dc.subject | sound sensors | en-US |
dc.subject | video sensors | en-US |
dc.subject | radiofrequency sensors | en-US |
dc.subject | Detección de drones | es-ES |
dc.subject | aprendizaje profundo | es-ES |
dc.subject | aprendizaje de máquina | es-ES |
dc.subject | sensores de sonido | es-ES |
dc.subject | sensores de video | es-ES |
dc.subject | sensores de radiofrecuencia | es-ES |
dc.title | A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications | en-US |
dc.title | Revisión de algoritmos, métodos y técnicas para la detección de UAVs y UAS en aplicaciones de audio, radiofrecuencia y video | es-ES |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion | |
dc.type | Review Article | en-US |
dc.type | Artículos de revisión | es-ES |
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tecnologia [520]