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Journal articles on the topic 'UAV'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Pap, László. "Ember nélkül vezetett légi járművekkel kapcsolatos jövőbeli elképzelések." Hadtudomány 26, Különszám (2016): 118–21. http://dx.doi.org/10.17047/hadtud.2016.26.k.118.

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A cikk áttekintést ad az UAV- és UAS-eszközök fejlődéséről és a főbb piaci trendekről. Ismerteti a katonai UAV-k és UAS-ek osztályozását és alkalmazási területeit, valamint a civil UAV-k típusait és alkalmazásait. A cikk bemutatja az USA-hadsereg 2010 és 2035 közötti terveit az UAV-k és UAS-ek fejlesztésével, alkalmazásával kapcsolatban. A cikk foglalkozik a hazai fejlesztések egyes eredményeivel és áttekinti azokat a lehetőségeket, amelyek a szakterületen a hazai fejlesztők és gyártók előtt állnak.

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2

Ye, Jia, Chao Zhang, Hongjiang Lei, Gaofeng Pan, and Zhiguo Ding. "Secure UAV-to-UAV Systems With Spatially Random UAVs." IEEE Wireless Communications Letters 8, no. 2 (2019): 564–67. http://dx.doi.org/10.1109/lwc.2018.2879842.

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Li, Huadong, Yiliang Liu, Daochun Li, Dawei Bie, and Zi Kan. "Ground Test and Numerical Simulation of Aerodynamic Interference of the Marsupial UAS." Aerospace 10, no. 2 (2023): 175. http://dx.doi.org/10.3390/aerospace10020175.

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The marsupial unmanned aircraft system (UAS) consists of a large parent unmanned aerial vehicle (UAV) and multiple small children UAVs that can be launched and recovered in the air. The employment of marsupial UAS can expand the mission range of small UAVs and enhance the collaborative capabilities of small UAVs. However, the serious aerodynamic interference between the parent UAV and the child UAV will affect the flight safety during the launch and recovery process. In this paper, the interference characteristics of marsupial UAS is investigated through ground tests and CFD simulation. Ground

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4

Silva, Mário, and Jorge Silva. "Management of urban air logistics with unmanned aerial vehicles: The case of medicine supply in Aveiro, Portugal." Journal of Airline and Airport Management 11, no. 1 (2021): 34. http://dx.doi.org/10.3926/jairm.182.

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Purpose: This research aims to investigate the relation between urban logistics and all delivery systems used. The unmanned aerial vehicle (UAV) and the unmanned aerial system (UAS) have been under investigation in the world of logistics, having been pointed as the next logistic technology. For that reason, this article proposes the use of UAV in urban logistics.Design/methodology/approach: We set for the methodology study the current state of this system and analyze what lies ahead soon. Based on this information, we intend to implement a scenario of deliveries in an urban environment. This s

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Nopiani, Yanti, Dewi Fortuna Ayu, Evy Rossi, Yelmira Zalfiatri, and Siti Nurhajijah. "PENGARUH TEPUNG AMPAS KEDELAI DALAM PEMBUATAN FLAKES UBI JALAR MERAH." Jurnal Teknologi Pertanian 24, no. 2 (2023): 95–104. http://dx.doi.org/10.21776/ub.jtp.2023.024.02.3.

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Penelitian ini bertujuan untuk mengkaji pengaruh penambahan tepung ampas kedelai terhadap mutu flakes dari tepung ubi jalar merah. Rancangan Acak Lengkap (RAL) digunakan dalam penelitian ini, dengan 6 perlakuan dan 3 ulangan. Perlakuan yang digunakan adalah penggunaan rasio tepung ubi jalar merah dan tepung ampas kedelai (w/w): UA0 (100:0%), UA1 ( 90:10%), UA2 (80:20%), UA3 (70:30%), dan UA4 (60:40%) dan UA5 (50:50%). Data yang diperoleh dianalisis secara statistik dengan menggunakan ANOVA dan diuji lanjut dengan DNMRT pada taraf 5%. Rasio penggunaan tepung ubi jalar merah dan tepung ampas ked

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Szabolcsi, Róbert. "The Quadrotor-Based Night Watchbird UAV System Used In The Force Protection Tasks." International conference KNOWLEDGE-BASED ORGANIZATION 21, no. 3 (2015): 749–55. http://dx.doi.org/10.1515/kbo-2015-0126.

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Abstract The Unmanned Aerial Vehicles (UAV), or Unmanned Aerial Systems (UAS) are widely used today in real time, high precision reconnaissance missions. The UAS can lean on various types of the UAVs, whilst this paper deals only with multirotor UAV applications. The special flying abilities of the multirotor UAVs (e.g. vertical take-off and landing, hovering, flying at extremely low altitudes and airspeeds) open new areas in UAV applications. Challenges of the modern era put many problems to be solved such as problems of safeguarding in civil life, handling disaster management tasks, border c

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Hu, Xiaodan, Yifan Li, Han Wu, Zhijie Liu, and Jiyu Li. "A YOLOv3-Based Rice Vortex Detecting System Using Dual Collaborative UAVs." Journal of the ASABE 65, no. 5 (2022): 1133–40. http://dx.doi.org/10.13031/ja.14994.

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HighlightsUsed dual collaborative UAVs to track the rice vortex formed on rice canopy.A trained YOLOv3-tiny model was used to recognize and calculate the rice vortex parameters with high accuracy.Discovered a quantitative relationship between rice vortex parameters and UAV flight parameters.Aligned the time axis of data process to enhance the accuracy of the vortex parameter calculation.Abstract. A rice vortex generated by the downwash airflow of the agricultural UAV has a great connection to pesticide droplet deposition. In this study, an unmanned aircraft system (UAS) was designed to obtain

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Huang, Yuzhuo, Jingyi Qu, Haoyu Wang, and Jun Yang. "An All-Time Detection Algorithm for UAV Images in Urban Low Altitude." Drones 8, no. 7 (2024): 332. http://dx.doi.org/10.3390/drones8070332.

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With the rapid development of urban air traffic, Unmanned Aerial Vehicles (UAVs) are gradually being widely used in cities. Since UAVs are prohibited over important places in Urban Air Mobility (UAM), such as government and airports, it is important to develop air–ground non-cooperative UAV surveillance for air security all day and night. In the paper, an all-time UAV detection algorithm based on visible images during the day and infrared images at night is proposed by our team. We construct a UAV dataset used in urban visible backgrounds (UAV–visible) and a UAV dataset used in urban infrared

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Blagodaryashchev, I. V., M. A. Kiselev, R. S. Naumov, and V. S. Shapkin. "Topical issues of personnel training in the field of unmanned aircraft systems." Civil Aviation High Technologies 25, no. 4 (2022): 8–19. http://dx.doi.org/10.26467/2079-0619-2022-25-4-8-19.

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The legal regulation, and hence, the training system in the field of unmanned aircraft systems (UAS) in the Russian Federation, the European Union and the United States is based on the unmanned aerial vehicles (UAV) rating with respect to UAS maximum take-off weight (MTOW) and their purpose (method of use). In this regard, small-unmanned aircraft (sUAS) are identified – in our country up to 30 kg, in the EU and the USA up to 55 lbs (25 kg) and UAV with larger weight. In the USA and Europe, the training of remote pilots for sUAS is differentiated based on the degree of risk that UAV can represe

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Tkachyck, P., O. Kotcemyr, S. Sokolovskyi, and D. Bilous. "Accounting for real meteorological conditions at the time of UAV flight mission planning." Military Technical Collection, no. 25 (December 21, 2021): 54–60. http://dx.doi.org/10.33577/2312-4458.25.2021.54-60.

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The article is dedicated to the the problem of not considering the real meteorological conditions in planning the flight task of the unmanned aerial vehicle (UAV) A1-CM Furia . Unmanned aerial system(UAS) A1-CM Furia has been developed and manufactured by LLC SPC Athlon Avia since 2014. Within 2019-2020, the UAS passed a full spectrum of state tests and was adopted by the Armed Forces of Ukraine. The main criteria that this UAS meets are the detection and tracking of enemy objectives, equipment maintenance and target reconnaissance. Among the peculiarities of UAV application are performance of

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Zhang, Jingmin, Xiaokui Yue, Haofei Zhang, and Tiantian Xiao. "Optimal Unmanned Ground Vehicle—Unmanned Aerial Vehicle Formation-Maintenance Control for Air-Ground Cooperation." Applied Sciences 12, no. 7 (2022): 3598. http://dx.doi.org/10.3390/app12073598.

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This paper investigates the air–ground cooperative time-varying formation-tracking control problem of a heterogeneous cluster system composed of an unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV). Initially, the structure of the UAV–UGV formation-control system is analyzed from the perspective of a cooperative combat system. Next, based on the motion relationship between the UAV–UGV in a relative coordinate system, the relative motion model between them is established, which can clearly reveal the physical meaning of the relative motion process in the UAV–UGV system. Then, u

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An, Namwon, Kyung-Mee Lim, and So-Young Jeong. "Acquiring Precise Coordinates of Ground Targets through GCP Geometric Correction of Captured Images in UAS." Journal of the Korea Institute of Military Science and Technology 26, no. 2 (2023): 129–38. http://dx.doi.org/10.9766/kimst.2023.26.2.129.

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Acquiring precise coordinates of ground targets can be regarded as the key mission of the tactical-level military UAS(Unmanned Aerial System) operations. The coordinates deviations for the ground targets estimated from UAV (Unmanned Aerial Vehicle) images may depend on the sensor specifications and slant ranges between UAV and ground targets. It has an order of several tens to hundreds of meters for typical tactical UAV mission scenarios. In this paper, we propose a scheme that precisely acquires target coordinates from UAS by mapping image pixels to geographical coordinates based on GCP(Groun

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13

Becerra, Yeyson, and Dante Giovanni Sterpin Buitrago. "Actividades de construcción sencillas desarrolladas por sistemas aéreos no tripulados." Tecnura 27, no. 76 (2023): 12–30. http://dx.doi.org/10.14483/22487638.18612.

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Contexto: Los vehículos aéreos no tripulados (UAV, por sus siglas en inglés) han tomado gran relevancia en los últimos años, al integrarse en diversos sectores de la economía, como el agrícola, energético, público, construcción, entre otros. Precisamente, en este último sector, se han venido realizando avances que permiten la manipulación, transporte e identificación de elementos propios del sector, así como la cooperación entre distintos robots aéreos o robots terrestres para solucionar el problema de límite de carga, asociado a los UAV. Método: Este trabajo está dividido en cuatro categorías

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Cherkasov, S. V., B. V. Sterligov, and L. A. Zolotaya. "The ability to use unmanned Aerial Vehicles for Making high precision measurements of the anomalies of Eart’s Geomagnetic Field." Moscow University Bulletin. Series 4. Geology, no. 3 (June 28, 2016): 17–20. http://dx.doi.org/10.33623/0579-9406-2016-3-17-20.

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The article presents a review of Russian airborne geomagnetic evolution and shows that nowadays the creation of airborne geomagnetic complexes based on air drones (Unmanned Aerial Vehicle, UAV) is much in demand. The theoretical and research data on the development on UAV optimal configuration to place a new-generation quantum aeromagnetometer (using a rubidium sensor with optical injection) on the UAV are shown. The authors have developed an unmanned aeromagnetic complex (UAC) to use in high-quality aeromagnetic surveys at low altitudes (from 30 m) for geological, engineering, and ecological

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Yoon, Jiyoung, Hyojun Lee, and Kyung-Jun Park. "UAV System Security Enhancement in Wi-Fi Communication Between UAV and GCS." Journal of Korean Institute of Communications and Information Sciences 45, no. 4 (2020): 686–90. http://dx.doi.org/10.7840/kics.2020.45.4.686.

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Wang, Gicheol, Byoung-Sun Lee, Jae Young Ahn, and Gihwan Cho. "A UAV-Aided Cluster Head Election Framework and Applying Such to Security-Driven Cluster Head Election Schemes: A Survey." Security and Communication Networks 2018 (June 19, 2018): 1–17. http://dx.doi.org/10.1155/2018/6475927.

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UAS (Unmanned Aerial Systems) are now drawing a lot of attention from academic and research fields as well as the general public. The UAS is expected to provide many promising applications such as intelligent transportation system, disaster management, search and rescue, public safety, smart delivery, wild species monitoring, and wireless service area extension. More specifically, as a part of the wireless service extension, we deal with the information dissemination and collection using a UAV in this paper. In this application, because the UAV communicates with each CH (Cluster Head) to colle

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Mohammed, Ameer, Bashir Garba Ibrahim, Muyideen Omuya Momoh, Kumater Peter Ter, Abolanle Oluwatoyin Adetifa, and Damilare Abdulbasit Oluwole. "Challenges of Ground Control System in Ensuring Safe Flights for Unmanned Aerial Vehicles." MEKATRONIKA 4, no. 1 (2022): 8–19. http://dx.doi.org/10.15282/mekatronika.v4i1.7350.

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Unmanned Aerial Systems (UAS) are considered as evolving technology due to the diversity and feasibility of their applications. Generally, UAS are controlled by a ground operator in a ground control station (GCS). GCS can be used for several remote applications for unmanned vehicles; however, for the purpose of this review, GCS applications would be limited to its application on Unmanned Aerial Vehicles (UAV). Such stations are made up of basic components consisting of commercial-off-the-shelf components and low-cost equipment depending on the sophistication of the UAV. This requires that as U

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Mbaitiga, Zacharie and Kyuhei Honda NIT Okinawa College Japan. "Fabrication and Evaluation of the Inshore Fishing UAV Gripper." Journal of Advanced Control, Automation and Robotics (JACAR) Volume 4, Issue 1 (2018): 129–35. https://doi.org/10.5281/zenodo.4280141.

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<strong>Abstract:</strong> UAV is defined as Unmanned Aerial Vehicle with some greater or lesser degree of ‘automatic intelligence’ part of an unmanned aircraft systems. Although all UAV systems have many elements other than the air vehicles, UAVs are usually categorized by the capability or size of the air vehicle that is required to carry out the mission. However, it is possible that one system may employ more than one type of air vehicle to cover different types of missions, and that may pose a problem in its designation. However, these definitions are constantly being changed a

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Granshaw, Stuart I. "RPV, UAV, UAS, RPAS … or just drone?" Photogrammetric Record 33, no. 162 (2018): 160–70. http://dx.doi.org/10.1111/phor.12244.

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Salamí, Esther, Antonia Gallardo, Georgy Skorobogatov, and Cristina Barrado. "On-the-Fly Olive Trees Counting Using a UAS and Cloud Services." Remote Sensing 11, no. 3 (2019): 316. http://dx.doi.org/10.3390/rs11030316.

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Unmanned aerial systems (UAS) are becoming a common tool for aerial sensing applications. Nevertheless, sensed data need further processing before becoming useful information. This processing requires large computing power and time before delivery. In this paper, we present a parallel architecture that includes an unmanned aerial vehicle (UAV), a small embedded computer on board, a communication link to the Internet, and a cloud service with the aim to provide useful real-time information directly to the end-users. The potential of parallelism as a solution in remote sensing has not been addre

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Mani, Prashant, Pankaj Singh, Abhishek Singhal, and Apoorv Katiyar. "Design and Simulation of Smart Communication System for Unmanned Arial Vehicles." International Journal of Computers and Communications 15 (November 29, 2021): 89–94. http://dx.doi.org/10.46300/91013.2021.15.15.

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In recent years, the use of drones has drastically increased as the evolution of drone use in commercial sectors and reduced costs of the hardware. Earlier drone services were mostly used for military operations but nowadays the Unmanned Arial Vehicles (UAV) system is very advanced and its applications are not limited to military operations. The recent years have also witnessed a network evolution of UAVs from single ground to air network to multi-UAV network systems along with usage of wireless public networks like LTE which can act as UAV communication channel. In the proposed project, a com

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Park, Chanhong, Alex Ramirez-Serrano, and Mahdis Bisheban. "Adaptive Incremental Nonlinear Dynamic Inversion Control for Aerial Manipulators." Aerospace 11, no. 8 (2024): 671. http://dx.doi.org/10.3390/aerospace11080671.

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This paper proposes an adaptive incremental nonlinear dynamic inversion (INDI) controller for unmanned aerial manipulators (UAMs). A novel adaptive law is employed to enable aerial manipulators to manage the inertia parameter changes that occur when the manipulator moves or picks up unknown objects during any phase of the UAM’s flight maneuver. The adaptive law utilizes a Kalman filter to estimate a set of weighting factors employed to adjust the control gain matrix of a previously developed INDI control law formulated for the corresponding UAV (no manipulator included). The proposed adaptive

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Tan, Qichen, Haoyu Bian, Siyang Zhong, and Xin Zhang. "Simulation of multi-rotor powered urban aerial mobility noise for environmental assessment." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (2021): 3854–60. http://dx.doi.org/10.3397/in-2021-2541.

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The operation of the rapidly growing unmanned aerial vehicles (UAV) and the promising urban aerial mobility (UAM) could have a significant noise impact on the environment. In this work, we developed a cloud-based noise simulator to efficiently assess the environmental impact of UAM and UAV. The noise sources and long-distance propagation are computed by the propeller noise prediction models and an advanced Gaussian beam tracing method, respectively, in local high-performance computers. Users can define the working conditions and vehicle layer through a platform with a user-friendly graphical i

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Parshin, Alexander, Ayur Bashkeev, Yuriy Davidenko, et al. "Lightweight Unmanned Aerial System for Time-Domain Electromagnetic Prospecting—The Next Stage in Applied UAV-Geophysics." Applied Sciences 11, no. 5 (2021): 2060. http://dx.doi.org/10.3390/app11052060.

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Nowadays in solving geological problems, the technologies of UAV-geophysics, primarily magnetic and gamma surveys, are being increasingly used. However, for the formation of the classical triad of airborne geophysics methods in the UAV version, there was not enough technology for UAV-electromagnetic sounding, which would allow studying the geological environment at depths of tens and hundreds of meters with high detail. This article describes apparently the first technology of UAV-electromagnetic sounding in the time domain (TDEM, TEM), implemented as an unmanned system based on a light multi-

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Ajith, V. S., and KG Jolly. "Unmanned aerial systems in search and rescue applications with their path planning: a review." Journal of Physics: Conference Series 2115, no. 1 (2021): 012020. http://dx.doi.org/10.1088/1742-6596/2115/1/012020.

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Abstract In recent days, the Unmanned Aerial Systems (UAS) is an emerging technology rapidly across many warfare’s and enable new civilian domains which include real-time monitoring, security, border surveillance, wildlife surveys, providing wireless coverage, weather monitoring, smart farming, surveying, search and rescue, products delivery, farming, and civil structure inspection. Initially, there were many challenges in the design and control of UAS as it lacks an onboard pilot for navigation. Now the condition is improved with the implementation of artificial intelligence techniques in pat

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Ariante, Gennaro, Salvatore Ponte, Umberto Papa, Alberto Greco, and Giuseppe Del Core. "Ground Control System for UAS Safe Landing Area Determination (SLAD) in Urban Air Mobility Operations." Sensors 22, no. 9 (2022): 3226. http://dx.doi.org/10.3390/s22093226.

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The use of the Unmanned Aerial Vehicles (UAV) and Unmanned Aircraft System (UAS) for civil, scientific, and military operations, is constantly increasing, particularly in environments very dangerous or impossible for human actions. Many tasks are currently carried out in metropolitan areas, such as urban traffic monitoring, pollution and land monitoring, security surveillance, delivery of small packages, etc. Estimation of features around the flight path and surveillance of crowded areas, where there is a high number of vehicles and/or obstacles, are of extreme importance for typical UAS missi

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Yi, Jia, Honghai Zhang, Fei Wang, Changyuan Ning, Hao Liu, and Gang Zhong. "An Operational Capacity Assessment Method for an Urban Low-Altitude Unmanned Aerial Vehicle Logistics Route Network." Drones 7, no. 9 (2023): 582. http://dx.doi.org/10.3390/drones7090582.

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The Federal Aviation Administration introduced the concept of urban air mobility (UAM), a new three-dimensional transport system that operates with a fusion of manned/unmanned aerial vehicles on an urban or intercity scale. The rapid development of UAM has brought innovation and dynamism to many industries, especially in the field of logistics. Various types of unmanned aerial vehicles (UAVs) for use in transport logistics are being designed and produced. UAV logistics refers to the use of UAVs, usually carrying goods and parcels, to achieve route planning, identify risk perception, facilitate

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Azari, M. Mahdi, Giovanni Geraci, Adrian Garcia-Rodriguez, and Sofie Pollin. "UAV-to-UAV Communications in Cellular Networks." IEEE Transactions on Wireless Communications 19, no. 9 (2020): 6130–44. http://dx.doi.org/10.1109/twc.2020.3000303.

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Giurato, Mattia, Paolo Gattazzo, and Marco Lovera. "UAV Lab: a multidisciplinary UAV design course." IFAC-PapersOnLine 52, no. 12 (2019): 490–95. http://dx.doi.org/10.1016/j.ifacol.2019.11.291.

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Azari, M.Mahdi, Giovanni Geraci, Adrián García-Rodríguez, and Sofie Pollin. "UAV-to-UAV Communications in Cellular Networks." IEEE Transsaction on Wireless Communications 9, no. 9 (2020): 6130–44. https://doi.org/10.1109/TWC.2020.3000303.

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We consider a cellular network deployment where UAV-to-UAV (U2U) transmit-receive pairs share the same spectrum with the uplink (UL) of cellular ground users (GUEs). For this setup, we focus on analyzing and comparing the performance of two spectrum sharing mechanisms: (i) underlay, where the same time-frequency resources may be accessed by both UAVs and GUEs, resulting in mutual interference, and (ii) overlay, where the available resources are divided into orthogonal portions for U2U and GUE communications. We evaluate the coverage probability and rate of both link types and their interplay t

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Kaliszuk, Krzysztof, Artur Kierzkowski, and Bartłomiej Dziewoński. "Method of Collaborative UAV Deployment: Carrier-Assisted Localization with Low-Resource Precision Touchdown." Electronics 14, no. 13 (2025): 2726. https://doi.org/10.3390/electronics14132726.

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This study presents a cooperative unmanned aerial system (UAS) designed to enable precise autonomous landings in unstructured environments using low-cost onboard vision technology. This approach involves a carrier UAV with a stabilized RGB camera and a neural inference system, as well as a lightweight tailsitter payload UAV with an embedded grayscale vision module. The system relies on visually recognizable landing markers and does not require additional sensors. Field trials comprising full deployments achieved an 80% success rate in autonomous landings, with vertical touchdown occurring with

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Luan, Zhirong, Hongtao Jia, Ping Wang, Rong Jia, and Badong Chen. "Joint UAVs’ Load Balancing and UEs’ Data Rate Fairness Optimization by Diffusion UAV Deployment Algorithm in Multi-UAV Networks." Entropy 23, no. 11 (2021): 1470. http://dx.doi.org/10.3390/e23111470.

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Unmanned aerial vehicles (UAVs) can be deployed as base stations (BSs) for emergency communications of user equipments (UEs) in 5G/6G networks. In multi-UAV communication networks, UAVs’ load balancing and UEs’ data rate fairness are two challenging problems and can be optimized by UAV deployment strategies. In this work, we found that these two problems are related by the same performance metric, which makes it possible to optimize the two problems simultaneously. To solve this joint optimization problem, we propose a UAV diffusion deployment algorithm based on the virtual force field method.

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Bouassida, Sana, Najett Neji, Lydie Nouvelière, and Jamel Neji. "Evaluating the Impact of Drone Signaling in Crosswalk Scenario." Applied Sciences 11, no. 1 (2020): 157. http://dx.doi.org/10.3390/app11010157.

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The characteristic pillars of a city are its economy, its mobility, its environment, its inhabitants, its way of life, and its organization. Since 1980, the concept of smart city generally consists of optimizing costs, organization, and the well-being of inhabitants. The idea is to develop means and solutions capable of meeting the needs of the population, while preserving resources and the environment. Owing to their little size, their flexibility, and their low cost, Unmanned Aerial Vehicles (UAV) are today used in a huge number of daily life applications. UAV use cases can be classified int

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Mousa, Morad, and Saba Al-Rubaye. "Intelligent 5G-Aided UAV Positioning in High-Density Environments Using Neural Networks for NLOS Mitigation." Aerospace 12, no. 6 (2025): 543. https://doi.org/10.3390/aerospace12060543.

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The accurate and reliable positioning of unmanned aerial vehicles (UAVs) in urban environments is crucial for urban air mobility (UAM) application, such as logistics, surveillance, and disaster management. However, global navigation satellite systems (GNSSs) often fail in densely populated areas due to signal reflections (multipath propagation) and obstructions non-line-of-sight (NLOS), causing significant positioning errors. To address this, we propose a machine learning (ML) framework that integrates 5G position reference signals (PRSs) to correct UAV position estimates. A dataset was genera

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Swinney, Carolyn J., and John C. Woods. "The Effect of Real-World Interference on CNN Feature Extraction and Machine Learning Classification of Unmanned Aerial Systems." Aerospace 8, no. 7 (2021): 179. http://dx.doi.org/10.3390/aerospace8070179.

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Small unmanned aerial systems (UASs) present many potential solutions and enhancements to industry today but equally pose a significant security challenge. We only need to look at the levels of disruption caused by UASs at airports in recent years. The accuracy of UAS detection and classification systems based on radio frequency (RF) signals can be hindered by other interfering signals present in the same frequency band, such as Bluetooth and Wi-Fi devices. In this paper, we evaluate the effect of real-world interference from Bluetooth and Wi-Fi signals concurrently on convolutional neural net

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Senchuk, D. V. "Studying the Performance Features of the Scenario Algorithm in the Control System of an Unmanned Aerial System." Izvestiya of Altai State University, no. 4(132) (September 14, 2023): 89–93. http://dx.doi.org/10.14258/izvasu(2023)4-14.

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In this paper, we consider the results of a full-scale experiment carried out under conditions most closely resembling real operating ones. The goal of the experiment is to identify the performance features of the control system inside an unmanned aerial system (UAS) when using the swarm control method of a decentralized UAS control strategy. The considered flight performance characteristics of a single UAV provide an opportunity to analyze the operation feasibility of the presented UAS to solve other kinds of problems. The results of the presented experiment enable the development of a set of

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Crazzolara, Claudio, Martin Ebner, Andreas Platis, Tatiana Miranda, Jens Bange, and Annett Junginger. "A new multicopter-based unmanned aerial system for pollen and spores collection in the atmospheric boundary layer." Atmospheric Measurement Techniques 12, no. 3 (2019): 1581–98. http://dx.doi.org/10.5194/amt-12-1581-2019.

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Abstract. The application of a new particle collection system (PCS) developed in-house and operated on board a commercially available multicopter unmanned aerial vehicle (UAV) is presented as a new unmanned aerial system (UAS) approach for in situ measurement of the concentration of aerosol particles such as pollen grains and spores in the atmospheric boundary layer (ABL). A newly developed impactor is used for high-efficiency particle extraction on board the multicopter UAV. An airflow volume of 0.2 m3 min−1 through the impactor is provided by a battery-powered blower and measured with an on-

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Ariyanto, Mochammad, Joga D. Setiawan, Munadi Munadi, and Teguh Parabowo. "Uji Terbang Autonomous Low Cost Fixed Wing UAV Menggunakan PID Compensator." ROTASI 19, no. 4 (2017): 231. http://dx.doi.org/10.14710/rotasi.19.4.231-236.

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Pengguna UAV pada umumnya terbagi ke dalam dua kelompok, yaitu pengguna yang menggunakan UAV buatan pabrik dan pengguna yang membuat UAV sendiri. Pengguna yang membangun UAV sendiri harus mendesain, menghitung performa aerodinamika, dan membuat (memanufaktur) UAV-nya sendiri. Selain itu, mereka harus menentukan komponen-komponen mekanis dan elektris dimana yang dibutuhkan agar UAV dapat beroperasi sesuai dengan performa yang diharapkan. Membangun UAV membutuhkan biaya yang lebih murah daripada membeli UAV buatan pabrik. Pada pengembangan UAV diperlukan proses desain, pembuatan (manufaktur), da

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Hellweg, Robert, and Gregg G. Fleming. "Unmanned air systems (UAS/UAV) (drone) and aerial mobility: summaries of the 2018 and 2020 TQA workshops." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (2021): 4945–54. http://dx.doi.org/10.3397/in-2021-2899.

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Unmanned air system (UAS/UAV) noise and urban mobility noise were the subject of two National Academy of Engineering (NAE) hosted workshops under the auspices of the Technology of Quieter America (TQA) program. Both workshops were organized by the INCE Foundation in cooperation with the U.S. National Aeronautics and Space Administration (NASA) and the U.S. Federal Aviation Administration (FAA). The first workshop "UAS and UAV (Drone): Noise Emissions and Noise Control Engineering Technology" was held in Washington, DC in December, 2018. manufacturers, users, U.S. government agencies, universit

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Liu, Wenpeng. "Study on the dynamic adjustment of UAV formation based on purely azimuthal passive positioning." Highlights in Science, Engineering and Technology 120 (December 25, 2024): 798–806. https://doi.org/10.54097/yrm1tq42.

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In recent years, with the continuous development of unmanned aerial vehicle (UAV) technology, the application of UAV formation flight has also more and more extensive, but the UAV formation is easy to be interfered with by the outside world, which affects the formation. In this paper, we use pure orientation passive positioning, the least squares method to fit the UAV orientation, according to the superior and inferior arc model, cross-positioning, to reduce the UAV formation to emit electromagnetic wave signals to the outside. Firstly, the dynamic adjustment model of UAV formation is establis

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Grzyb, Łukasz, and Karol Gazda. "UAV FORENSICS." Cybersecurity & Cybercrime 1, no. 4 (2024): 195–212. http://dx.doi.org/10.5604/01.3001.0054.7105.

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The aim of this article is to present current methods of obtaining and investigative analysis of data from unmanned aerial vehicles (UAVs), taking into account the problems that must be faced in such a dynamic field of technology. The article focuses on the multi-track use of techniques from both Computer Forensics and Mobile Forensics, including specialized analytical environments for recognizing and parsing disclosed data.

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Vadipina, Amarnadh, Chennabatny Anuroop, Karthik K., Kalyan Raj S., and Uday Rushi Y. "Pharmaceutical UAV." International Journal of Innovative Science and Research Technology 8, no. 3 (2023): 2103–7. https://doi.org/10.5281/zenodo.7807328.

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Delivery drones have developed into a potentially feasible option for a multitude of industries and uses, such as e-commerce, logistics, and emergency services. The primary objective of employing delivery drones is to automate the delivery process in order to increase efficiency and save expenses. The ability of delivery drones to avoid gridlock and get at the location quickly is a significant advantage. In particular for remote or difficult-to-reach places, this can considerably cut down on delivery time and expense. Last but not least, delivery drones can be employed in emergency services to

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Liang, Jinfan, Xun Huang, Qiwang Xu, Yu Liu, Jingfan Zhang, and Jie Huang. "A Novel UAV-Assisted Multi-Mobility Channel Model for Urban Transportation Emergency Communications." Electronics 12, no. 14 (2023): 3015. http://dx.doi.org/10.3390/electronics12143015.

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With the increasing requirements for unmanned aerial vehicle (UAV) communication in various application scenarios, the UAV-assisted emergency communication in urban transportation scenario has received great attention. In this paper, a novel UAV-assisted UAV-to-vehicle (U2V) geometry-based stochastic model (GBSM) for the urban traffic communication scenario is proposed. The three-dimensional (3D) multi-mobilities of the transmitter (Tx), receiver (Rx), and clusters are considered by introducing the time-variant acceleration and velocity correspondingly. The velocity variation of the clusters i

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Qiu, Zhenyue, Lei Zhang, Yuan Chi, and Zequn Li. "Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method." Mathematics 13, no. 1 (2024): 86. https://doi.org/10.3390/math13010086.

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Aiming at the formation problem of the multi-rotor UAV swarm, this paper adopts a multi-rotor UAV swarm formation control method based on a stress matrix to ensure the stability of multi-rotor UAV swarm formation. On the basis of achieving the target formation through a stress matrix, the formation of a multi-rotor UAV swarm can be rotated, scaled, and sheared. When the obstacles are known, the multi-rotor UAV swarm can pass through the obstacle environment smoothly through rotation, scaling, and shearing transformations. However, this transformation cannot cope with the situation where the ob

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Yang, Zhikai. "The development and application of UAV intelligent machine learning system based on artificial intelligence." Advances in Education, Humanities and Social Science Research 6, no. 1 (2023): 140. http://dx.doi.org/10.56028/aehssr.6.1.140.2023.

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In the rapid development of artificial intelligence technology, some scholars proposed to integrate artificial intelligence and UAV technology together, comprehensively improve the application technology level of UAV, and truly meet the needs of information collection and processing in different fields. According to the application of UAV technology means in recent years, whether in the military field or the civil field, UAV has a very broad prospect for development. Intelligent UAV will replace the traditional UAV in a comprehensive way. Therefore, Chinese scientific research field should str

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Oakey, Andy, Matt Grote, Angela Smith, et al. "Integrating drones into NHS patient diagnostic logistics systems: Flight or fantasy?" PLOS ONE 17, no. 12 (2022): e0264669. http://dx.doi.org/10.1371/journal.pone.0264669.

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Healthcare accounts for approximately 5% of emissions in developed nations, and the public healthcare provider in the United Kingdom (UK), the National Health Service (NHS), has set a target to reach net-zero emissions by 2040 without detriment to its quality of patient care. With Uncrewed Aerial Vehicles (UAVs; a.k.a. drones, UAS, or RPAS) starting to be used in healthcare systems outside the UK, there is interest in how they could be integrated into NHS operations to transport diagnostic specimens. Reflecting on a business-as-usual analysis of current NHS diagnostic specimen logistics across

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Bagas.A, Hernanda, Erwan Eko Prasetiyo, and Erwhin Irmawan. "RANCANG BANGUN INDIKATOR PARAMETER BATERAI UNTUK PESAWAT TANPA AWAK MENGGUNAKAN SENSOR MAX 471 SECARA NIRKABEL." Teknika STTKD: Jurnal Teknik, Elektronik, Engine 7, no. 2 (2021): 163–73. http://dx.doi.org/10.56521/teknika.v7i2.317.

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Abstrak UAV (Unmanned Aerial Vehicle) didefinisikan sebagai pesawat tanpa awak. UAV (Unmanned Aerial Vehicle) merupakan salah satu teknologi yang sedang mengalami perkembangan yang pesat dan memiliki potensi yang sangat besar, baik untuk keperluan militer maupun sipil. UAV dapat dioperasikan jarak jauh dengan mengunakan nergy remote control oleh pilot. Salah satu jenis UAV adalah quadcopter. Sumber tenaga (energy) dari UAVyaitu baterai, baterai merupakan salah satu bagian dari UAV, peran baterai bagi UAV yaitu menyimpan tenaga listrik dan mendistribusikan listrik selama UAV digunakan. Ba

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Cabrera-Ponce, Aldrich A., J. Martinez-Carranza, and Caleb Rascon. "Detection of nearby UAVs using a multi-microphone array on board a UAV." International Journal of Micro Air Vehicles 12 (January 2020): 175682932092574. http://dx.doi.org/10.1177/1756829320925748.

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In this work, we address the problem of UAV detection flying nearby another UAV. Usually, computer vision could be used to face this problem by placing cameras onboard the patrolling UAV. However, visual processing is prone to false positives, sensible to light conditions and potentially slow if the image resolution is high. Thus, we propose to carry out the detection by using an array of microphones mounted with a special array onboard the patrolling UAV. To achieve our goal, we convert audio signals into spectrograms and used them in combination with a CNN architecture that has been trained

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Jačionis, Tomas. "MODERN METHODS FOR DETECTION OF UNMANNED AERIAL VEHICLES." Mokslas - Lietuvos ateitis 12 (February 19, 2020): 1–6. http://dx.doi.org/10.3846/mla.2020.11435.

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Most recent Unmanned Aerial Vehicle (UAV) detection methods are discussed in the article. Detection of UAV principles are pointed out during the overview. Brief advantages of each technique is covered and compared in between. Key technological limitations of each technique is pointed out and discussed. Several most recent and actual UAV threat accidents are presented with the indication of the used counter UAV systems. New upcoming threat of “Kamikaze” (selfdestructive) UAV and their detection limitations are presented. Case studies on the hybrid counter drone technology interactions are cover

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Meng, Lingxuan, Zhixing Peng, Ji Zhou, et al. "Real-Time Detection of Ground Objects Based on Unmanned Aerial Vehicle Remote Sensing with Deep Learning: Application in Excavator Detection for Pipeline Safety." Remote Sensing 12, no. 1 (2020): 182. http://dx.doi.org/10.3390/rs12010182.

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Unmanned aerial vehicle (UAV) remote sensing and deep learning provide a practical approach to object detection. However, most of the current approaches for processing UAV remote-sensing data cannot carry out object detection in real time for emergencies, such as firefighting. This study proposes a new approach for integrating UAV remote sensing and deep learning for the real-time detection of ground objects. Excavators, which usually threaten pipeline safety, are selected as the target object. A widely used deep-learning algorithm, namely You Only Look Once V3, is first used to train the exca

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