Research on the Application of Deep Learning Target Detection of Engineering Vehicles in the Patrol and Inspection for Military Optical Cable Lines by UAV

Zhang, Mingjiang; Li, Hongwei; Xia, Guijin; Zhao, Weihu; Ren, Shuai; Wang, Chengyuan

doi:10.1109/iscid.2018.00029

Cited by 18 publications

(5 citation statements)

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“…Estos Vehículos han presentado avances con el desarrollado de sistemas integrados basados en dispositivos electrónicos como sensores, cámaras, radares, Sistemas de Posicionamiento Global (en inglés, Global Positioning System GPS) y el Sistema Global para las Comunicaciones Móviles (del inglés, Global System for Mobile communications GSM) dando calidad a las operaciones realizadas en la milicia, algunas misiones se enfocan en las comunicaciones donde el UAV toma mayor relevancia debido a que genera una conexión y estabilidad de redes inalámbricas entre bases y brigadas, retransmisiones de radio con enlaces de datos tácticos punto a punto de nivel superior (en inglés, Top-Level Domain TLD), trabajando en bandas de frecuencias altas debido a su velocidad de procesamiento de datos, estas labores se llevan a cabo gracias a las características de vuelo y a su clasificación, en UAV tácticos, de resistencia, de altitud media y alta. Sin embargo, estos vehículos aéreos se han implementado para identificar fallas o daños producidos por automóviles y camiones de carga en las líneas de comunicaciones militares, ejecutando monitoreo en tiempo real con algoritmos de aprendizaje automático para la detección de peligros ocultos en zonas aledañas a las líneas de comunicación [24,25].…”

Section: Fuente: Elaboración Propiaunclassified

Vehículos aéreos no tripulados como alternativa de solución a los retos de innovación en diferentes campos de aplicación: una revisión de la literatura

Pedraza

Sarmiento

Vergel

et al. 2021

Investigación e Innovación en Ingenierías

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Objetivo: Identificar los principales campos de aplicación en los que los vehículos aéreos no tripulados son una alternativa de solución innovadora, así como las tecnologías implementadas en ellos, articulando información fragmentada. Metodología: Mediante la herramienta Tree of Science se desarrolló una búsqueda inicial en Web of Science y con base en la información obtenida se complementó con el modelo de revisión sistemática tomado como referencia las bases de datos Scopus, ScienceDirec, IEEE y Web of Science aplicando una selección y descarte de información de las diferentes investigaciones relacionadas. Resultados y Conclusiones: Se seleccionaron un total de 81 artículos que fueron analizados y estudiados acorde a las aplicaciones de enfoque donde los vehículos aéreos no tripulados han presentado aportes, soluciones y alternativas a las labores diarias implementadas en áreas como agricultura, ambiente, militar, logística, mapeo y geociencias. Los vehículos aéreos más utilizados como alternativa de solución son los multirrotor que obtuvieron un 58.82 % de participación, seguido de los ala fija o flexible con un 31.76 %. Además, se encontró que el 91.36 % adaptan cámaras en estas aeronaves para el desarrollo de sus estudios. Finalmente, se observó que el área de la logística, en términos generales, es un tema potencial para estudios futuros.

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Section: Fuente: Elaboración Propiaunclassified

Vehículos aéreos no tripulados como alternativa de solución a los retos de innovación en diferentes campos de aplicación: una revisión de la literatura

Pedraza

Sarmiento

Vergel

et al. 2021

Investigación e Innovación en Ingenierías

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“…In [24], the used imagery information extracted from UAV systems along with deep learning techniques to detect the presence of heavy construction vehicles/equipment such as excavators and bulldozers that is near the military communication network lines.…”

Section: E Object Detectionmentioning

confidence: 99%

A Systematic Review on Fusion Techniques and Approaches Used in Applications

Jusoh

Almajali

2020

IEEE Access

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Fusion technologies have rapidly evolved. These technologies are normally customized according to the needs of domains. Despite a large number of publications on intelligence fusion applications for various domains, they are scattered. The aim of this review is to present the state of the art for intelligence fusion applications within a specific domain. We identified three major domains for the purpose, namely robotics, military, and healthcare, during the initial process of the systematic review. These three domains are always in need of superior intelligence. Articles were searched mainly in IEEE Xplore. We limit the range of publications to the year 2014 to 2019, to focus on the most recent publications. We adopt the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to screen, filter and evaluate qualities of each retrieved article. As a result, we retrieved 675 articles at the initial stage of the search, we conducted screening and filtering process and reviewed 153 articles potential articles, and finally, we excluded 36 articles as they do not comply with our quality assessment criteria. Only 117 articles are included. The results of this study are a list of classified applications within the domains and a number of relevant techniques or approaches used in each classified application. The finding of this review showed that the most published works for the use of intelligence fusion are mainly applications in the robotics domain, where mostly used techniques are Kalman Filter and its variants. Outcomes of this study can be a guideline or an insight for researchers to further develop and implement in this field.

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“…Fortunately, the application of UAV‐assisted communications provides opportunities to solve this problem, which can be employed as a supplement and extension of current communication systems to improve the performance [1, 2]. In recent decades, with the continuous maturity of technologies such as flight control, navigation, power, and communications, the safety and reliability of UAVs have also been constantly improved, so the application of UAVs in the fields of military and civilian has been a reality [3–5].…”

Section: Introductionmentioning

confidence: 99%

A survey on unmanned aerial vehicle relaying networks

Zhao

Miao

et al. 2021

IET Communications

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With the explosive growth of data communications, existing infrastructure networks are under ever-increasing pressure. Due to the advantages of fully controllable mobility, rapid deployment, and low cost, the unmanned aerial vehicles (UAVs) have attracted much attentions from both industry and academia in recent years, and it has become an inevitable trend to employ UAVs to enhance the network performance in different environments.As an important paradigm of UAV-assisted communications, UAV relaying communications has been regarded as a promising solution in enhancing connectivity and improving transmission rate. This paper for the first time comprehensively summarizes UAV relaying communications and its application scenarios, including single UAV relaying networks, multi-user UAV relaying networks, multi-hop UAV relaying networks, as well as Internet of UAVs, and deeply analyzes the key technologies and challenges to be solved under this topic. Furthermore, the state-of-the-art researches and opportunities of UAV relaying communications are discussed in detail. INTRODUCTIONWith the dramatic development of wireless communications as well as the rapid increase in the scale and variety of mobile communication services, the amount of data to be transmitted is constantly exploding. And thus mobile data transmissions with high capacity, high speed, and high coverage has become the focus of attention in the industry, which is also an urgent problem to be solved. In this regard, the existing wireless communication system seems to be insufficient. Fortunately, the application of UAV-assisted communications provides opportunities to solve this problem, which can be employed as a supplement and extension of current communication systems to improve the performance [1,2]. In recent decades, with the continuous maturity of technologies such as flight control, navigation, power, and communications, the safety and reliability of UAVs have also been constantly improved, so the applicationThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Research on the Application of Deep Learning Target Detection of Engineering Vehicles in the Patrol and Inspection for Military Optical Cable Lines by UAV

Cited by 18 publications

References 4 publications

Vehículos aéreos no tripulados como alternativa de solución a los retos de innovación en diferentes campos de aplicación: una revisión de la literatura

Vehículos aéreos no tripulados como alternativa de solución a los retos de innovación en diferentes campos de aplicación: una revisión de la literatura

A Systematic Review on Fusion Techniques and Approaches Used in Applications

A survey on unmanned aerial vehicle relaying networks

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