A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications
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| Format: | Artículo científico |
| Langue: | en |
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Instituto Tecnológico Metropolitano
2020
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| _version_ | 1876479162083966976 |
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| author | Jimmy Flórez |
| author_facet | Jimmy Flórez |
| contents | A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications Jimmy Flórez José Ortega Andrés Betancourt Andrés García Marlon Bedoya Ingeniería sound sensors video sensors Drone detection radiofrequency sensors Deep Learning detection 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. 2020 artículo científico 0123-7799 https://www.redalyc.org/articulo.oa?id=344263272014 https://www.redalyc.org/journal/3442/344263272014/ https://www.redalyc.org/journal/3442/344263272014/html/ https://www.redalyc.org/journal/3442/344263272014/344263272014.epub https://www.redalyc.org/journal/3442/344263272014/movil https://doi.org/10.22430/22565337.1408 en http://www.redalyc.org/revista.oa?id=3442 TecnoLógicas application/pdf Instituto Tecnológico Metropolitano TecnoLógicas (Colombia) Num.48 Vol.23 |
| format | Artículo científico |
| id | redalyc_344263272014 |
| institution | Redalyc |
| language | en |
| publishDate | 2020 |
| publisher | Instituto Tecnológico Metropolitano |
| spellingShingle | A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications Jimmy Flórez Ingeniería sound sensors video sensors Drone detection radiofrequency sensors Deep Learning detection A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications Jimmy Flórez José Ortega Andrés Betancourt Andrés García Marlon Bedoya Ingeniería sound sensors video sensors Drone detection radiofrequency sensors Deep Learning detection 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. 2020 artículo científico 0123-7799 https://www.redalyc.org/articulo.oa?id=344263272014 https://www.redalyc.org/journal/3442/344263272014/ https://www.redalyc.org/journal/3442/344263272014/html/ https://www.redalyc.org/journal/3442/344263272014/344263272014.epub https://www.redalyc.org/journal/3442/344263272014/movil https://doi.org/10.22430/22565337.1408 en http://www.redalyc.org/revista.oa?id=3442 TecnoLógicas application/pdf Instituto Tecnológico Metropolitano TecnoLógicas (Colombia) Num.48 Vol.23 |
| title | A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications |
| topic | Ingeniería sound sensors video sensors Drone detection radiofrequency sensors Deep Learning detection |
| url | https://www.redalyc.org/articulo.oa?id=344263272014 https://www.redalyc.org/journal/3442/344263272014/ https://www.redalyc.org/journal/3442/344263272014/html/ https://www.redalyc.org/journal/3442/344263272014/344263272014.epub https://www.redalyc.org/journal/3442/344263272014/movil https://doi.org/10.22430/22565337.1408 |