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1
Suroso, Indreswari, and Erwhin Irmawan. "Analysis Of Aerial Photography With Drone Type Fixed Wing In Kotabaru, Lampung." Journal of Applied Geospatial Information 2, no. 1 (May 4, 2018): 102–7. http://dx.doi.org/10.30871/jagi.v2i1.738.
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In the world of photography is very closely related to the unmanned aerial vehicle called drones. Drones mounted camera so that the plane is pilot controlled from the mainland. Photography results were seen by the pilot after the drone aircraft landed. Drones are unmanned drones that are controlled remotely. Unmanned Aerial Vehicle (UAV), is a flying machine that operates with remote control by the pilot. Methode for this research are preparation assembly of drone, planning altitude flying, testing on ground, camera of calibration, air capture, result of aerial photos and analysis of result aerial photos. There are two types of drones, multicopter and fixed wing. Fixed wing has an airplane like shape with a wing system. Fixed wing use bettery 4000 mAh . Fixed wing drone in this research used mapping in This drone has a load ability of 1 kg and operational time is used approximately 30 minutes for an areas 20 to 50 hectares with a height of 100 m to 200 m and payload 1 kg above ground level. The aerial photographs in Kotabaru produce excellent aerial photographs that can help mapping the local government in the Kotabaru region.
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Suroso, Indreswari. "ANALISIS PERAN UNMANNED AERIAL VEHICLE JENIS MULTICOPTER DALAM MENINGKATKAN KUALITAS DUNIA FOTOGRAFI UDARA DI LOKASI JALUR SELATAN MENUJU CALON BANDARA BARU DI KULONPROGO." REKAM: Jurnal Fotografi, Televisi, dan Animasi 14, no. 1 (August 15, 2018): 17. http://dx.doi.org/10.24821/rekam.v14i1.2134.
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Dunia fotografi sangat erat berkaitan dengan pesawat tanpa awat disebut drone. Drone dipasang kamera sehingga pesawat tersebut dikendalikan pilot dari daratan. Hasil fotografi dilihat pilot setelah pesawat drone tersebut mendarat. Drone adalah pesawat tanpa awak yang dikendalikan dari jarak jauh. Pesawat tanpa awak atau pesawat nirawak (Unmanned Aerial Vehicle atau UAV) adalah sebuah mesin terbang yang berfungsi dengan kendali jarak jauh oleh pilot. Perkembangan teknologi membuat drone juga mulai banyak diterapkan untuk kebutuhan sipil, terutama di bidang bisnis, industri, dan logistik. Dalam dunia industri bisnis, drone telah diterapkan dalam berbagai layanan seperti pengawasan infrastruktur, pengiriman paket barang, pemadam kebakaran hutan, eksplorasi bahan tambang, pemetaaan daerah pertanian, dan pemetaan daerah industri. Berdasarkan jenisnya, terdapat dua jenis drone, yaitu multicopter dan fixed wing. Multicopter adalah jenis drone yang memanfaatkan putaran baling-baling untuk terbang, sedangkan fixed wing memiliki bentuk seperti pesawat terbang biasa yang dilengkapi sistem sayap. Langkah yang digunakan dalam penelitian ini adalah persiapan pembuatan drone, perencanaan ketinggian terbang, pengujian drone di ground, pengaturankalibrasi kamera, pengambilan foto udara, melihat hasil foto udara, kemudian menganalisis hasil foto udara. Drone dalam penelitian ini memiliki empat propeller, yang digunakan untuk pemetaan jalur selatan menuju pintu masuk New International Yogyakarta Airports melalui Desa Plumbon, Kecamatan Temon, Kabupaten Kulonprogo. AbstractRole Analysis of Unmanned Aerial Vehicle Type MultiCopter in Improving the Quality of Aerial Photography Field in the Southern Path towards the Prospective New Airport in Kulonprogo. The world of photography is very closely related to the unattended aircraft called drones. Drones are mounted with camera so that the plane is pilot-controlled from the mainland. Photography results are seen by the pilot after the drone aircraft is landed. Drones are unmanned aircraft controlled remotely. Unmanned aircraft or Unmanned Aerial Vehicle (UAV), is a flying machine which is operated with remote control by the pilot. Technological developments make the drones also start widely applied to civilian needs, especially in the areas of business, industry and logistics. In business industry, drones have been applied in various services such as infrastructure monitoring, freight forwarding, forest fire-fighter, mining exploration, agricultural mapping, and industrial area mapping. Based on its type, there are two types of drones, namely multicopter and fixed wing. Multicopter is the type of drone that utilizes the spin of the propeller, while the fixed wing has an airplane-like shape with a wing system. The steps used in this study were as follows: drone making preparation, fly height planning, ground drone testing, camera calibration settings, air photo capture, air results viewing, and aerial photographs results analyzing. Drone used in this study has fourpropellers used for mapping south path entrance of New Yogyakarta International Airport through Plumbon Village,Temon sub-district, Kulonprogo regency.
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Okulski, Michał, and Maciej Ławryńczuk. "A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone." Applied Sciences 12, no. 14 (July 13, 2022): 7059. http://dx.doi.org/10.3390/app12147059.
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Most types of Unmanned Aerial Vehicle (UAV, drone) missions requiring Vertical-Take-Off-and-Landing (VTOL) capability could benefit if a drone’s effective range could be extended. Example missions include Search-And-Rescue (SAR) operations, a remote inspection of distant objects, or parcel delivery. There are numerous research works on multi-rotor drones (e.g., quadcopters), fixed-wing drones, VTOL quadplanes, or tilt-motor/tilt-wing VTOLs. We propose a unique compact VTOL UAV optimized for long hover and long-range missions with great lifting capacity and manoeuvrability: a tandem-wing quadplane with fixed motors only. To the best of our knowledge, such a drone has not yet been researched. The drone was designed, built, and tested in flight. Construction details, its advantages, and issues are discussed in this research.
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Hu, Jiahao, Jingbo Wei, Kun Liu, Xiaobin Yu, Mingzhi Cao, and Zijie Qin. "Hybrid Mode: Routinization of the Transition Mode as the Third Common Mode for Compound VTOL Drones." Drones 8, no. 3 (March 8, 2024): 93. http://dx.doi.org/10.3390/drones8030093.
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Fixed-wing Vertical Takeoff and Landing (VTOL) drones have been widely researched and applied because they combine the advantages of both rotorcraft and fixed-wing drones. However, the research on the transition mode of this type of drone has mainly focused on completing the process quickly and stably, and the application potential of this mode has not been given much attention. The objective of this paper is to routinize the transition mode of compound VTOL drones, i.e., this mode works continuously for a longer period of time as a third commonly used mode besides multi-rotor and fixed-wing modes, which is referred to as the hybrid mode. For this purpose, we perform detailed dynamics modeling of the drone in this mode and use saturated PID controllers to control the altitude, velocity, and attitude of the drone. In addition, for more stable altitude control in hybrid mode, we identify the relevant parameters for the lift of the fixed-wings and the thrust of the actuators. Simulation and experimental results show that the designed control method can effectively control the compound VTOL drone in hybrid mode. Moreover, it is proven that flight in hybrid mode can reduce the flight energy consumption to some extent.
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Alhammadi, Mohamed, Mohammed Alavi, Ali Alameri, and Sharul Sham Bin Dol. "Aerodynamic Study and Design of Fixed Wing and Multi-copter Combination." Engineering World 4 (December 31, 2022): 91–95. http://dx.doi.org/10.37394/232025.2022.4.12.
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This project aims to design a hybrid drone with fixed wing for the stable cruising as well as multi-copters for the vertical take-off and landing (VTOL) operations. Drones are utilized for number of applications leading from transportation to the surveillance purposes. Some drones are popular for their stable operation, while other for optimum landing and takeoff. Therefore, numerical analysis was performed on propeller, landing gear as well as on whole structure of the drone. The observed result from CFD analysis show that the velocity distribution had maximum velocity of 40 m/s at the mid span of the drone. In addition, the maximum stress obtained was on the landing gear with approximate value of 185 MPa which is due to the weigh and payload of the drone. The final model was built after the analytical and numerical analysis in order to achieve sustainable and reliable prototype.
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Yan, Jun, Huiping Hu, Jiangkun Gong, Deyong Kong, and Deren Li. "Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types." Drones 7, no. 4 (April 21, 2023): 280. http://dx.doi.org/10.3390/drones7040280.
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In this study, we examine the use of micro-Doppler signals produced by different blades (i.e., puller and lifting blades) to aid in radar-based target recognition of small drones. We categorize small drones into three types based on their blade types: fixed-wing drones with only puller blades, multi-rotor drones with only lifting blades, and hybrid vertical take-off and landing (VTOL) fixed-wing drones with both lifting and puller blades. We quantify the radar signatures of the three drones using statistical measures, such as signal-to-noise ratio (SNR), signal-to-clutter ratio (SCR), Doppler speed, Doppler frequency difference (DFD), and Doppler magnitude ratio (DMR). Our findings show that the micro-Doppler signals of lifting blades in all three drone types were stronger than those of puller blades. Specifically, the DFD and DMR values of pusher blades were below 100 Hz and 0.3, respectively, which were much smaller than the 200 Hz and 0.8 values for lifting blades. The micro-Doppler signals of the puller blades were weaker and more stable than those of the lifting blades. Our study demonstrates the potential of using micro-Doppler signatures modulated by different blades for improving drone detection and the identification of drone types by drone detection radar.
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Ellis-Felege, Susan N., Tanner Stechmann, Samuel Hervey, Christopher J. Felege, Robert F. Rockwell, and Andrew F. Barnas. "Nesting Common Eiders (Somateria mollissima) show little behavioral response to fixed-wing drone surveys." Drone Systems and Applications 10, no. 1 (January 1, 2022): 1–14. http://dx.doi.org/10.1139/juvs-2021-0012.
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Drones may be valuable in polar research because they can minimize researcher activity and overcome logistical, financial, and safety obstacles associated with wildlife research in polar regions. Because polar species may be particularly sensitive to disturbance and some research suggests behavioral responses to drones are species-specific, there is a need for focal species-specific disturbance assessments. We evaluated behavioral responses of nesting Common Eiders (Somateria mollissima (Linnaeus, 1758), n = 19 incubating females) to first, second, or in a few cases third exposure of fixed-wing drone surveys using nest cameras. We found no effect of drone flights (F[1,23] = 0, P = 1.0) or previous exposures (F[1,23] = 0.75, P = 0.397) on the probability of a daily recess event (bird leaves nests). Drone flights did not impact recess length (F[1,25] = 1.34, P = 0.26); however, Common Eiders with prior drone exposure took longer recess events (F[1,25] = 5.27, P = 0.03). We did not observe any overhead vigilance behaviors common in other species while the drone was in the air, which may reflect Common Eiders’ anti-predator strategies of reducing activity at nests in response to aerial predators. Surveying nesting Common Eider colonies with a fixed-wing drone did not result in biologically meaningful behavioral changes, providing a potential tool for research and monitoring this polar nesting species.
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Huang, Chenn-Jung, Kai-Wen Hu, Hao-Wen Cheng, and Yi-Sin Sie Lin. "A Mission-Oriented Flight Path and Charging Mechanism for Internet of Drones." Sensors 23, no. 9 (April 25, 2023): 4269. http://dx.doi.org/10.3390/s23094269.
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In addition to traditional battery exchange services and stationary charging stations, researchers have proposed wireless charging technology, such as decentralized laser charging or drone-to-drone charging in flight, to provide power to drones with insufficient battery electricity. However, the charging methods presented in the literature will inevitably cause drones to wait in line for charging during peak hours and disrupt their scheduled trips when the number of drones grows rapidly in the future. To the best of our knowledge, there have been no integrated solutions for drone flight path and charging planning to alleviate charging congestion, taking into account the different mission characteristics of drones and the charging cost considerations of drone operators. Accordingly, this paper provides adaptive charging options to help drone operators to solve the above-mentioned problems. Drones on ordinary missions can use conventional battery swap services, wired charging stations, or electromagnetic wireless charging stations to recharge their batteries as usual, whereas drones on time-critical missions can choose drone-to-drone wireless charging or decentralized laser charging deployed along the fight paths to charge the batteries of drones in flight. Notably, since fixed-wing drones have larger wing areas to install solar panels, they can also use solar energy to charge during flight if the weather is clear. The simulation results exhibited that the proposed work reduced the power load of the power grid during peak hours, met the charging needs of each individual drone during flight, and cut down the charging costs of drone operators. As a result, an all-win situation for drone operators, drone customers, and power grid operators was achieved.
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Kapoulas, Ioannis K., Antonios Hatziefremidis, A. K. Baldoukas, Evangelos S. Valamontes, and J. C. Statharas. "Small Fixed-Wing UAV Radar Cross-Section Signature Investigation and Detection and Classification of Distance Estimation Using Realistic Parameters of a Commercial Anti-Drone System." Drones 7, no. 1 (January 6, 2023): 39. http://dx.doi.org/10.3390/drones7010039.
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Various types of small drones constitute a modern threat for infrastructure and hardware, as well as for humans; thus, special-purpose radar has been developed in the last years in order to identify such drones. When studying the radar signatures, we observed that the majority of the scientific studies refer to multirotor aerial vehicles; there is a significant gap regarding small, fixed-wing Unmanned Aerial Vehicles (UAVs). Driven by the security principle, we conducted a series of Radar Cross Section (RCS) simulations on the Euclid fixed-wing UAV, which has a wingspan of 2 m and is being developed by our University. The purpose of this study is to partially fill the gap that exists regarding the RCS signatures and identification distances of fixed-wing UAVs of the same wingspan as the Euclid. The software used for the simulations was POFACETS (v.4.1). Two different scenarios were carried out. In scenario A, the RCS of the Euclid fixed-wing UAV, with a 2 m wingspan, was analytically studied. Robin radar systems’ Elvira Anti Drone System is the simulated radar, operating at 8.7 to 9.65 GHz; θ angle is set at 85° for this scenario. Scenario B studies the Euclid RCS within the broader 3 to 16 Ghz spectrum at the same θ = 85° angle. The results indicated that the Euclid UAV presents a mean RCS value (σ ¯) of −17.62 dBsm for scenario A, and a mean RCS value (σ ¯) of −22.77 dBsm for scenario B. These values are much smaller than the values of a typical commercial quadcopter, such as DJI Inspire 1, which presents −9.75 dBsm and −13.92 dBsm for the same exact scenarios, respectively. As calculated in the study, the Euclid UAV can penetrate up to a distance of 1784 m close to the Elvira Anti Drone System, while the DJI Inspire 1 will be detected at 2768 m. This finding is of great importance, as the obviously larger fixed-wing Euclid UAV will be detected about one kilometer closer to the anti-drone system.
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MARIN, Florin Bogdan, Daniela Laura BURUIANA, Viorica GHISMAN, and Mihaela MARIN. "Deep neural network modeling for CFD simulation of drone bioinspired morphing wings." INCAS BULLETIN 15, no. 4 (December 2, 2023): 149–57. http://dx.doi.org/10.13111/2066-8201.2023.15.4.12.
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In this paper we present a deep neural network modelling using Computational Fluid Dynamics (CFD) simulations data in order to optimize control of bioinspired morphing wings of a drone. Drones flight needs to consider variation in aerodynamic conditions that cannot all be optimized using a fixed aerodynamic profile. Nature solves this issue as birds are changing continuously the shape of their wings depending of the aerodynamic current requirements. One important issue for fixed wing drone is the landing as it is unable to control and most of the time consequences are some damages at the nose. An optimized shape of the wing at landing will avoid this situation. Another issue is that wings with a maximum surface are sensitive to stronger head winds; while wings with a small surface allowing the drone to fly faster. A wing with a morphing surface could adapt its aerial surface to optimize aerodynamic performance to specific flight situations. A morphing wing needs to be controlled in an optimized manner taking into account current aerodynamics parameters. Predicting optimized positions of the wing needs to consider (CFD) prior simulation parameters. The scenarios for flight require an important number of CFD simulation to address different conditions and geometric shapes. We compare in this paper neural network architecture suitable to predict wing shape according to current conditions. Deep neural network (DNN) is trained using data resulted out of CFD simulations to estimate flight conditions.
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Chahl, Javaan, Nasim Chitsaz, Blake McIvor, Titilayo Ogunwa, Jia-Ming Kok, Timothy McIntyre, and Ermira Abdullah. "Biomimetic Drones Inspired by Dragonflies Will Require a Systems Based Approach and Insights from Biology." Drones 5, no. 2 (March 27, 2021): 24. http://dx.doi.org/10.3390/drones5020024.
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Many drone platforms have matured to become nearly optimal flying machines with only modest improvements in efficiency possible. “Chimera” craft combine fixed wing and rotary wing characteristics while being substantially less efficient than both. The increasing presence of chimeras suggests that their mix of vertical takeoff, hover, and more efficient cruise is invaluable to many end users. We discuss the opportunity for flapping wing drones inspired by large insects to perform these mixed missions. Dragonflies particularly are capable of efficiency in all modes of flight. We will explore the fundamental principles of dragonfly flight to allow for a comparison between proposed flapping wing technological solutions and a flapping wing organism. We chart one approach to achieving the next step in drone technology through systems theory and an appreciation of how biomimetics can be applied. New findings in dynamics of flapping, practical actuation technology, wing design, and flight control are presented and connected. We show that a theoretical understanding of flight systems and an appreciation of the detail of biological implementations may be key to achieving an outcome that matches the performance of natural systems. We assert that an optimal flapping wing drone, capable of efficiency in all modes of flight with high performance upon demand, might look somewhat like an abstract dragonfly.
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Lenzi, Javier, Christopher J. Felege, Robert Newman, Blake McCann, and Susan N. Ellis-Felege. "Feral Horses and Bison at Theodore Roosevelt National Park (North Dakota, United States) Exhibit Shifts in Behaviors during Drone Flights." Drones 6, no. 6 (May 25, 2022): 136. http://dx.doi.org/10.3390/drones6060136.
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Drone use has been rapidly increasing in protected areas in North America, and potential impacts on terrestrial megafauna have been largely unstudied. We evaluated behavioral responses to drones on two terrestrial charismatic species, feral horse (Equus caballus) and bison (Bison bison), at Theodore Roosevelt National Park (North Dakota, United States) in 2018. Using a Trimble UX5 fixed-wing drone, we performed two flights at 120 m above ground level (AGL), one for each species, and recorded video footage of their behaviors prior to, during, and after the flight. Video footage was analyzed in periods of 10 s intervals, and the occurrence of a behavior was modeled in relation to the phase of the flights (prior, during, and after). Both species displayed behavioral responses to the presence of the fixed-wing drone. Horses increased feeding (p-value < 0.05), traveling (p-value < 0.05), and vigilance (p-value < 0.05) behaviors, and decreased resting (p-value < 0.05) and grooming (p-value < 0.05). Bison increased feeding (p-value < 0.05) and traveling (p-value < 0.05) and decreased resting (p-value < 0.05) and grooming (p-value < 0.05). Neither species displayed escape behaviors. Flying at 120 m AGL, the drone might have been perceived as low risk, which could possibly explain the absence of escape behaviors in both species. While we did not test physiological responses, our behavioral observations suggest that drone flights at the altitude we tested did not elicit escape responses, which have been observed in ground surveys or traditional low-level aerial surveys. Our results provide new insights for guidelines about drone use in conservation areas, such as the potential of drones for surveys of feral horses and bison with low levels of disturbance, and we further recommend the development of in situ guidelines in protected areas centered on place-based knowledge, besides existing standardized guidelines.
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Mesquita, Geison P., José Domingo Rodríguez-Teijeiro, Rodrigo Rocha de Oliveira, and Margarita Mulero-Pázmány. "Steps to build a DIY low-cost fixed-wing drone for biodiversity conservation." PLOS ONE 16, no. 8 (August 13, 2021): e0255559. http://dx.doi.org/10.1371/journal.pone.0255559.
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Despite the proved usefulness of drones in biodiversity studies, acquisition costs and difficulties in operating, maintaining and repairing these systems constrain their integration in conservation projects, particularly for low-income countries. Here we present the steps necessary to build a low-cost fixed-wing drone for environmental applications in large areas, along with instructions to increase the reliability of the system and testing its performance. Inspired by DIY (Do It Yourself) and open source models, this work prioritizes simplicity and accounts for cost-benefit for the researcher. The DIY fixed-wing drone developed has electric propulsion, can perform pre-programmed flight, can carry up to 500 g payload capacity with 65 minutes flight duration and flies at a maximum distance of 20 km. It is equipped with a RGB (Red, Green and Blue) sensor capable of obtaining 2.8 cm per pixel Ground Sample Distance (GSD) resolution at a constant altitude of 100 m above ground level (AGL). The total cost was $995 which is substantially less than the average value of similar commercial drones used in biodiversity studies. We performed 12 flight tests in auto mode using the developed model in protected areas in Brazil, obtaining RGB images that allowed us to identify deforestation spots smaller than 5 m2 and medium-sized animals. Building DIY drones requires some technical knowledge and demands more time than buying a commercial ready-to-fly system, but as proved here, it can be less expensive, which is often crucial in conservation projects.
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Nonami, Kenzo. "Research and Development of Drone and Roadmap to Evolution." Journal of Robotics and Mechatronics 30, no. 3 (June 20, 2018): 322–36. http://dx.doi.org/10.20965/jrm.2018.p0322.
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The history of drone dates far back. Human in those days must have had a yearn for the sky. This article first gives an overview of the history of research and development of drone including fixed wing and rotary wing, followed by, in particular, the history of development of rotary wing drone with the following four periods: before 1990 when radio control is at its dawn period; 1990 to 2010 when drone is at its dawn period; 2010 to 2015 when hobby-use drone is at its spread period; and 2016 and after when industrial-use drone is at its dawn period to growth period. In addition, this article presents the Japanese government’s roadmap, followed by a five-stage class of drone in terms of flight level and autonomy. In particular, autonomy will be discussed from the points of view of guidance, navigation, and control. Then with reference to an ideal state of drone in future, the article will discuss importance of the guidance system by fault tolerant control and supervisor control with implementation of the AI technology and the like.
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Di Luca, Matteo, Stefano Mintchev, Yunxing Su, Eric Shaw, and Kenneth Breuer. "A bioinspired Separated Flow wing provides turbulence resilience and aerodynamic efficiency for miniature drones." Science Robotics 5, no. 38 (January 29, 2020): eaay8533. http://dx.doi.org/10.1126/scirobotics.aay8533.
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Small-scale drones have enough sensing and computing power to find use across a growing number of applications. However, flying in the low–Reynolds number regime remains challenging. High sensitivity to atmospheric turbulence compromises vehicle stability and control, and low aerodynamic efficiency limits flight duration. Conventional wing designs have thus far failed to address these two deficiencies simultaneously. Here, we draw inspiration from nature’s small flyers to design a wing with lift generation robust to gusts and freestream turbulence without sacrificing aerodynamic efficiency. This performance is achieved by forcing flow separation at the airfoil leading edge. Water and wind tunnel measurements are used to demonstrate the working principle and aerodynamic performance of the wing, showing a substantial reduction in the sensitivity of lift force production to freestream turbulence, as compared with the performance of an Eppler E423 low–Reynolds number wing. The minimum cruise power of a custom-built 104-gram fixed-wing drone equipped with the Separated Flow wing was measured in the wind tunnel indicating an upper limit for the flight time of 170 minutes, which is about four times higher than comparable existing fixed-wing drones. In addition, we present scaling guidelines and outline future design and manufacturing challenges.
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Geelen, Stef, Johan Camps, Geert Olyslaegers, Greet Ilegems, and Wouter Schroeyers. "Radiological Surveillance Using a Fixed-Wing UAV Platform." Remote Sensing 14, no. 16 (August 12, 2022): 3908. http://dx.doi.org/10.3390/rs14163908.
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A drone–detector system was designed, developed, and tested for radiological monitoring. The system was tailored to perform measurements during the threat, release, and post-release phases of a nuclear or radiological event. This allows the surveillance of large areas, with an autonomy of up to 12 h, in a large range of altitudes above ground level. The detector system was optimized for gamma spectroscopy, taking into account the available payload for maximum endurance and maximum detection efficiency using ‘PENELOPE (2018)’ Monte Carlo simulations. A generic methodology was used to derive quantitative information on radioactivity levels from the raw measured gamma-ray spectra at different altitudes. Based on the methodology, it was demonstrated that the drone–detector system can measure the concentration of potassium-40 (K-40) that is naturally present in the soil. These measurements complied within 30% of the soil sampling results taking into account the uncertainties. The functioning of the system was tested during test flights, which demonstrated that radionuclide identification and quantification of radioactivity concentrations are possible.
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Siahaan, Megawati, Sri Murti Tarigan, Tuty Ningsih, Sandy Simangunsong, and Ridho Hikmawan. "EFEKTIVITAS DAN EFISIENSI PEMAKAIAN DRONE FIXED WING PADA PEMETAAN KEBUN DAN SENSUS POHON KELAPA SAWIT (Elaeis guineensis Jacq)." Jurnal Agro Estate 5, no. 1 (June 14, 2021): 25–38. http://dx.doi.org/10.47199/jae.v5i1.185.
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Drone is an unmanned aircraft (Unmanned Aerial Vehicle), which is an electro-mechanical based system that can perform programmed missions, with the following characteristics: (i) unmanned, (ii) operating in fully or partially independent mode, (iii) ) This system is designed to be used repeatedly. The drone is equipped with a high-resolution camera that allows users to monitor a specific location from a height in real time. The use of mapping photos (Mapping Block) using drones is usually used to calculate the principal amount of oil palm trees. This research was using drone fixed wing tipe and was conducted in Tamiang Hulu District, Aceh Tamiang District Nanggroe Aceh Darussalam. This research was conducted from 25-28 August 2020. This study used a descriptive analysis method. The results of this study indicate that the time used to prepare for the use of drones is 30 minutes, for taking aerial photographs and flying time for 25 minutes, combining photos using the Agisoft Photoscane software for 45 minutes, making way points and calculating the number of trees using the Arcgis application for 5 hours, making printout data for 60 minutes, so that the total time for all work is 7 hours 40 minutes for 53.53 hectares, assuming the cost per hectare is Rp.8,583, if with a manual census the time needed is 72 hours, with average costs -average Rp. 56,374, - / ha. Conclution of this research by using drones will be more effective and efficient than manual tree census.
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Siahaan, Megawati, Sri Murti Tarigan, Tuty Ningsih, Sandy Simangunsong, and Ridho Hikmawan. "EFEKTIVITAS DAN EFISIENSI PEMAKAIAN DRONE TIPE FIXED WING PADA PEMETAAN KEBUN DAN SENSUS POHON KELAPA SAWIT (Elaeis guineensis Jacq)." Jurnal Agro Estate 5, no. 1 (June 14, 2021): 25–38. http://dx.doi.org/10.47199/jae.v5i1.79.
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Drone is an unmanned aircraft (Unmanned Aerial Vehicle), which is an electro-mechanical based system that can perform programmed missions, with the following characteristics: (i) unmanned, (ii) operating in fully or partially independent mode, (iii) ) This system is designed to be used repeatedly. The drone is equipped with a high-resolution camera that allows users to monitor a specific location from a height in real time. The use of mapping photos (Mapping Block) using drones is usually used to calculate the principal amount of oil palm trees. This research was using drone fixed wing tipe and was conducted in Tamiang Hulu District, Aceh Tamiang District Nanggroe Aceh Darussalam. This research was conducted from 25-28 August 2020. This study used a descriptive analysis method. The results of this study indicate that the time used to prepare for the use of drones is 30 minutes, for taking aerial photographs and flying time for 25 minutes, combining photos using the Agisoft Photoscane software for 45 minutes, making way points and calculating the number of trees using the Arcgis application for 5 hours, making printout data for 60 minutes, so that the total time for all work is 7 hours 40 minutes for 53.53 hectares, assuming the cost per hectare is Rp.8,583, if with a manual census the time needed is 72 hours, with average costs -average Rp. 56,374, - / ha. Conclution of this research by using drones will be more effective and efficient than manual tree census.
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Bai, Zhuo, Bangchu Zhang, Zhong Tian, Shangnan Zou, and Weiyu Zhu. "Implementing a Multi-Attribute Decision-Making-Based Approach to Evaluate Small Electric Vertical Takeoff and Landing Fixed-Wing Drones with Mission Efficiency." Aerospace 11, no. 7 (July 11, 2024): 568. http://dx.doi.org/10.3390/aerospace11070568.
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Evaluating the mission efficiency of various drone configurations under complex, multi-source, and multi-dimensional requirements remains a significant challenge. This study aimed to develop a comprehensive decision support system (DSS) that employs mission efficiency evaluation, probabilistic hesitant fuzzy sets (PHFs), and multi-attribute decision-making (MADM) methods to assess and optimize drone design. In the proposed method, mission efficiency is defined as a composite measure of the flight performance, adaptability, and economic viability required to complete a mission. By designing a “demand–capability–design” mapping approach, this system effectively resolves multi-attribute conflicts in the decision-making process. To demonstrate the proposed approach, a set of small electric vertical takeoff and landing fixed-wing (e-VTOLFW) drones are compared and ranked based on their mission efficiency. The impacts of different mission requirements on drone evaluation are also discussed. The results demonstrate that this model resolves the traditional issue of unclear information flow in drone design. By improving the evaluation criteria, it enhances informed decision making and the robustness of evaluation results in drone design assessments. Additionally, the model is generalizable and can be widely applied to similar fields such as “demand–product design”, improving the understanding and optimization of product performance.
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Hill, Austin Chad, and Yorke M. Rowan. "The Black Desert Drone Survey: New Perspectives on an Ancient Landscape." Remote Sensing 14, no. 3 (February 2, 2022): 702. http://dx.doi.org/10.3390/rs14030702.
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This paper presents the results of a large scale, drone-based aerial survey in northeastern Jordan. Drones have rapidly become one of the most cost-effective and efficient tools for collecting high-resolution landscape data, fitting between larger-scale, lower-resolution satellite data collection and the significantly more limited traditional terrestrial survey approaches. Drones are particularly effective in areas where anthropogenic features are visible on the surface but are too small to identify with commonly and economically available satellite data. Using imagery from fixed-wing and rotary-wing aircraft, along with photogrammetric processing, we surveyed an extensive archaeological landscape spanning 32 km2 at the site of Wadi al-Qattafi in the eastern badia region of Jordan, the largest archaeological drone survey, to date, in Jordan. The resulting data allowed us to map a wide range of anthropogenic features, including hunting traps, domestic structures, and tombs, as well as modern alterations to the landscape including road construction and looting pits. We documented thousands of previously unrecorded and largely unknown prehistoric structures, providing an improved understanding of major shifts in the prehistoric use of this landscape.
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Panta, Ashim, Matthew Marino, Alex Fisher, Abdulghani Mohamed, and Simon Watkins. "Exploring the Impact of Rapidly Actuated Control Surfaces on Drone Aerodynamics." Drones 7, no. 8 (July 27, 2023): 494. http://dx.doi.org/10.3390/drones7080494.
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This study investigates the use of rapidly actuated leading-edge and trailing-edge control surfaces to improve the control authority of small fixed-wing drones. Static and dynamic characteristics were investigated and presented in two separate papers. In this paper, the focus is on the dynamic effects observed from rapidly actuated 30% chord leading- or trailing-edge hinged control surfaces affixed to two flat-plate airfoils. Forces were resolved from surface pressure measurements and are augmented by PIV measurements, smoke flow visualization and analyses. The static study revealed that trailing-edge control surfaces exhibited higher effectiveness in producing time-averaged CL compared to leading-edge control surfaces. However, leading-edge control surfaces exhibit significantly less fluctuation in pressure and lift coefficients at fixed angles of attack and control surface deflections, indicating better stability. Unsteady aerodynamic effects of the airfoil at α=0∘ and “ramp” deflections of trailing- and leading-edge control surfaces from 0∘ to 40∘ with variations in actuation rates showed that CL peaks are approximately three to four times greater than static values for the case of the leading-edge control surface. This has significant implications for fixed-wing drone maneuverability and countering the effects of atmospheric turbulence.
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Almheiri, Zayed, Rawan Aleid, and Sharul Sham Dol. "Design of Fixed-Wing and Multi-Copter Hybrid Drone System for Human Body Temperature Measurement during COVID-19 Pandemic." WSEAS TRANSACTIONS ON SYSTEMS 20 (March 16, 2021): 31–39. http://dx.doi.org/10.37394/23202.2021.20.5.
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The purpose of this research is to conduct aerodynamics study and design a hybrid drone system of fixed-wing and multi-copter. The mission of this drone is to measure human body temperature during COVID19 pandemic. The specific aim of the drone is to fly and cover larger industrial areas roughly about 50 km2 with longer flying time than the conventional drone, of about 1.5 hours. The applications of the simulation software such as XFLR5 and ANSYS have a big impact in identifying areas that need to be improved for the drone system. XFLR5 software was used to compare the characteristics of different airfoils with highest lift over drag, L/D ratio. Based on the airfoil selection, it was found that NACA 4412 airfoil produces the highest L/D ratio. The detailed geometry of the drone system includes a fuselage length of 1.9 meters and wingspan of 2 meters. Moreover, 10 sheets of solar panels were placed along the wing for sustainable flight operation to cover wider areas of mission. The structural analysis was done on ANSYS to test the elastic stress, equivalent strain, deformation, factor of safety pressure as well as lift and drag forces under various operational conditions and payloads. The landing gear was analyzed for harsh landing. ANSYS Computational Fluid Dynamics (CFD) was utilized to study the aerodynamics of the drone at different parameters such as the velocities and angles of attack during the operation. This design ensures the stability of the drone during the temperature measurement phase. The best thermal-imaging camera for such purpose would be the Vue Pro R 336, 45° radiometric drone thermal camera with a resolution of 640 x 512 pixels. This camera has the advantage of a permanent continuous out focus that give the ability of taking measurements even if there was changing on the altitude or any kind of vibrations.
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Mulero-Pázmány, Margarita, J. Ramiro Martínez-de Dios, Ana G. Popa-Lisseanu, Russell J. Gray, Francisco Alarcón, Carlos Albo Sánchez-Bedoya, Antidio Viguria, et al. "Development of a Fixed-Wing Drone System for Aerial Insect Sampling." Drones 6, no. 8 (July 28, 2022): 189. http://dx.doi.org/10.3390/drones6080189.
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Most current insect research techniques are ground-based and provide scarce information about flying insects in the planetary boundary layer (PBL), which remains a poorly studied ecological niche. To address this gap, we developed a new insect-sampling method consisting of a fixed-wing drone platform with net traps attached to the fuselage, a mobile design that has optimal aerodynamic characteristics for insect capture in the PBL. We tested the proposed device on 16 flights in Doñana National Park (Spain) with two different trap designs fitted on the fuselage nose and wing. We collected 34 insect specimens belonging to four orders with a representation of twelve families at mean altitudes below 23 m above ground level and sampling altitudes between 9 and 365 m. This drone insect-sampling design constitutes a low-cost and low-impact method for insect monitoring in the PBL, especially in combination with other remote sensing technologies that directly quantify aerial insect abundance but do not provide taxonomic information, opening interesting possibilities for ecology and entomological research, with the possibility of transfer to economically important sectors, such as agriculture and health.
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Oakey, Andrew, Tim Waters, Wanqing Zhu, Paul G. Royall, Tom Cherrett, Patrick Courtney, Dennis Majoe, and Nickolay Jelev. "Quantifying the Effects of Vibration on Medicines in Transit Caused by Fixed-Wing and Multi-Copter Drones." Drones 5, no. 1 (March 13, 2021): 22. http://dx.doi.org/10.3390/drones5010022.
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The concept of transporting medical products by drone is gaining a lot of interest amongst the medical and logistics communities. Such innovation has generated several questions, a key one being the potential effects of flight on the stability of medical products. The aims of this study were to quantify the vibration present within drone flight, study its effect on the quality of the medical insulin through live flight trials, and compare the effects of vibration from drone flight with traditional road transport. Three trials took place in which insulin ampoules and mock blood stocks were transported to site and flown using industry standard packaging by a fixed-wing or a multi-copter drone. Triaxial vibration measurements were acquired, both in-flight and during road transit, from which overall levels and frequency spectra were derived. British Pharmacopeia quality tests were undertaken in which the UV spectra of the flown insulin samples were compared to controls of known turbidity. In-flight vibration levels in both the drone types exceeded road induced levels by up to a factor of three, and predominant vibration occurred at significantly higher frequencies. Flown samples gave clear insulin solutions that met the British Pharmacopoeia specification, and no aggregation of insulin was detected.
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Rees, Nigel, Jeremy Howitt, Nigel Breyley, Phil Geoghegan, and Carl Powel. "A simulation study of drone delivery of Automated External Defibrillator (AED) in Out of Hospital Cardiac Arrest (OHCA) in the UK." PLOS ONE 16, no. 11 (November 15, 2021): e0259555. http://dx.doi.org/10.1371/journal.pone.0259555.
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Background Drones are increasingly used in healthcare, and feasibility studies of deployment of Automated External Defibrillators (AED) in Out-of-hospital cardiac arrest (OHCA) have been conducted. Despite the potential contribution of drones to healthcare, regulatory barriers exist, including limits on flights beyond visual line-of-sight (BVLOS). The aim of this project was to deliver an AED BVLOS in Wales. Methods We developed of a Concept of Operations (CONOPS) to identify requirements, constraints, organisation and roles and responsibilities associated with deploying a drone to deliver an AED BVLOS. We equipped a Penguin B drone with satellite-enabled technology to enhance situational awareness and safety for the remote pilot. A BVLOS Operating Safety Case and three-week flight test programme was conducted with an AED attached directly to parachute for deployment to simulated OHCA. Results We completed six flights totalling 92km, 1:02.5 hours of flight time and four successful parachute payload drops. We conducted a successful end-to-end flight demonstration of an AED delivered via BVLOS by drone to a simulated OHCA and resuscitation by lay responder’s in a remote location; the final delivery of 4.5km was completed in 2:50 minutes. Conclusion We have delivered an AED by parachute, from fixed wing drone BVLOS in the UK in simulated OHCA. This project adds to the body of knowledge required for regulatory assurance on drone use BVLOS. Further research is needed before routine use of this technology.
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Alkhalil, Omar. "Assessment of Factors Affecting the Use of Drones in Map Production." Advances in Environmental and Engineering Research 3, no. 3 (May 23, 2022): 1. http://dx.doi.org/10.21926/aeer.2203029.
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Multi-rotor and fixed-wing drones are extensively used to collect the data needed for producing large-scale topographic maps and plans. Several types of drone products are available, and the most important one for surveyors is an orthophoto. Flight planning, the quality of the control data, the assessment of drone products, and the image processing software need to be considered when using thes e drones. In this study, we explained these concepts and discussed their theoretical and practical importance in providing standards and tools that might help drone users, surveyors, and others, in obtaining the products they desire. We also proposed a detailed methodology for evaluating the accuracy of the image processing products of the drones as aerial triangulation and orthophoto. We discussed the importance of the Ground Sampling Distance (GSD) and the ground control points to assess the absolute accuracy of the aerial triangulation of the images and the importance of performing statistical tests before evaluating the absolute horizontal accuracy of the orthophoto. The checkpoints measured using more accurate methods than drone photogrammetry were used for the assessment. In this study, we evaluated the dependence of the differences between the coordinates of these points and the coordinates of the corresponding points measured on the orthophoto based on a normal distribution, and the correlation between them, before applying international standards for determining the absolute horizontal accuracy of the orthophoto. An orthophoto covering 6.57 hectares with a horizontal accuracy of 0.362
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Kucharczyk, Maja, and Chris H. Hugenholtz. "Pre-disaster mapping with drones: an urban case study in Victoria, British Columbia, Canada." Natural Hazards and Earth System Sciences 19, no. 9 (September 17, 2019): 2039–51. http://dx.doi.org/10.5194/nhess-19-2039-2019.
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Abstract. We report a case study using drone-based imagery to develop a pre-disaster 3-D map of downtown Victoria, British Columbia, Canada. This represents the first drone mapping mission over an urban area approved by Canada's aviation authority. The goal was to assess the quality of the pre-disaster 3-D data in the context of geospatial accuracy and building representation. The images were acquired with a senseFly eBee Plus fixed-wing drone with real-time kinematic/post-processed kinematic functionality. Results indicate that the spatial accuracies achieved with this drone would allow for sub-meter building collapse detection, but the non-gimbaled camera was insufficient for capturing building facades.
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Chen, Xiaolong, Hai Zhang, Jie Song, Jian Guan, Jiefang Li, and Ziwen He. "Micro-Motion Classification of Flying Bird and Rotor Drones via Data Augmentation and Modified Multi-Scale CNN." Remote Sensing 14, no. 5 (February 24, 2022): 1107. http://dx.doi.org/10.3390/rs14051107.
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Aiming at the difficult problem of the classification between flying bird and rotary-wing drone by radar, a micro-motion feature classification method is proposed in this paper. Using K-band frequency modulated continuous wave (FMCW) radar, data acquisition of five types of rotor drones (SJRC S70 W, DJI Mavic Air 2, DJI Inspire 2, hexacopter, and single-propeller fixed-wing drone) and flying birds is carried out under indoor and outdoor scenes. Then, the feature extraction and parameterization of the corresponding micro-Doppler (m-D) signal are performed using time-frequency (T-F) analysis. In order to increase the number of effective datasets and enhance m-D features, the data augmentation method is designed by setting the amplitude scope displayed in T-F graph and adopting feature fusion of the range-time (modulation periods) graph and T-F graph. A multi-scale convolutional neural network (CNN) is employed and modified, which can extract both the global and local information of the target’s m-D features and reduce the parameter calculation burden. Validation with the measured dataset of different targets using FMCW radar shows that the average correct classification accuracy of drones and flying birds for short and long range experiments of the proposed algorithm is 9.4% and 4.6% higher than the Alexnet- and VGG16-based CNN methods, respectively.
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Kokamägi, Kaupo, Rauno Künnapuu, and Natalja Liba. "Järvselja metsade tormikahjustuste seire mehitamata õhusõidukitega." Forestry Studies 76, no. 1 (December 1, 2022): 99–105. http://dx.doi.org/10.2478/fsmu-2022-0007.
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Abstract This paper provides an overview of a small research project. The object of the research was a 16 km2 forested area located in the territory of Järvselja Study and Experimental Forest, Estonia, which was damaged by storms in June 2021. The aim of the study was to investigate whether it is possible and reasonable to estimate the area of storm damage using orthophotos created from photographs collected from unmanned aircraft. The surveying was carried out on July 13–15, 2021. The data was collected via unmanned aerial vehicles with RGB-cameras on board. A multi-rotor drone DJI Phantom 3 Professional and a fixed-wing unmanned aircraft eBee X were used. In total, the eBee drone was flown 11 times to obtain 11,989 photos and the DJI drone 18 times to obtain 2,471 photos. During the project, it became clear that if there are open fields available, it is more efficient to use a fixed-wing type drone for this kind of research. However, in more difficult conditions where there are no clearances suitable for take-off and landing, a multi-rotor drone, such as the DJI, can be used instead. It can be concluded from the results of the work that although it is possible to use an unmanned aircraft for aerial photography of large forested areas, it takes a considerable amount of time for both photography and post-processing. It took 96 man-hours to collect the data and four working weeks to process the data.
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Bello, Ana Belén, Francisco Navarro, Javier Raposo, Mónica Miranda, Arturo Zazo, and Marina Álvarez. "Fixed-Wing UAV Flight Operation under Harsh Weather Conditions: A Case Study in Livingston Island Glaciers, Antarctica." Drones 6, no. 12 (November 28, 2022): 384. http://dx.doi.org/10.3390/drones6120384.
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How do the weather conditions typical of the polar maritime glaciers in the western Antarctic Peninsula region affect flight operations of fixed-wing drones and how should these be adapted for a successful flight? We tried to answer this research question through a case study for Johnsons and Hurd glaciers, Livingston Island, using a fixed-wing RPAS, in particular, a Trimble UX5 UAV with electric pusher propeller by brushless 700 W motor, chosen for its ability to fly long distances and reach inaccessible areas. We also evaluated the accuracy of the point clouds and digital surface models (DSM) generated by aerial photogrammetry in our case study. The results were validated against ground control points taken by differential GNSS techniques, showing an accuracy of 0.16 ± 0.12 m in the vertical coordinate. Various hypotheses were proposed and flight-tested, based on variables affecting the flight operation and the data collection, namely, gusty winds, low temperatures, battery life, camera configuration, and snow reflectivity. We aim to provide some practical guidelines that can help other researchers using fixed-wing drones under climatic conditions similar to those of the South Shetland Islands. Performance of the drone under harsh weather conditions, the logistical considerations, and the amount of snow at the time of data collection are factors driving the necessary modifications from those of conventional flight operations. We make suggestions concerning wind speed and temperature limitations, and avoidance of sudden fog banks, aimed to improve the planning of flight operations. Finally, we make some suggestions for further research.
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Israr, Amber, Eman H. Alkhammash, and Myriam Hadjouni. "Guidance, Navigation, and Control for Fixed-Wing UAV." Mathematical Problems in Engineering 2021 (October 16, 2021): 1–18. http://dx.doi.org/10.1155/2021/4355253.
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The purpose of this paper is to develop a fixed-wing aircraft that has the abilities of both vertical take-off (VTOL) and a fixed-wing aircraft. To achieve this goal, a prototype of a fixed-wing gyroplane with two propellers is developed and a rotor can maneuver like a drone and also has the ability of vertical take-off and landing similar to a helicopter. This study provides guidance, navigation, and control algorithm for the gyrocopter. Firstly, this study describes the dynamics of the fixed-wing aircraft and its control inputs, i.e., throttle, blade pitch, and thrust vectors. Secondly, the inflow velocity, the forces acting on the rotor blade, and the factors affecting the rotor speed are analyzed. Afterward, the mathematical models of the rotor, dual engines, wings, and vertical and horizontal tails are presented. Later, the flight control strategy using a global processing system (GPS) module is designed. The parameters that are examined are attitude, speed, altitude, turn, and take-off control. Lastly, hardware in the loop (HWIL) based simulations proves the effectiveness and robustness of the navigation guidance and control mechanism. The simulations confirm that the proposed novel mechanism is robust and satisfies mission requirements. The gyrocopter remains stable during the whole flight and maneuvers the designated path efficiently.
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Sayuti, Syahril, Agus Maulidi, and Ahmad Khaerudin. "Pengembangan Prototipe Pesawat Udara Tanpa Awak Jenis Fixed Wing VTOL." Jurnal Rekayasa Energi dan Mekanika 2, no. 2 (December 30, 2022): 128. http://dx.doi.org/10.26760/jrem.v2i2.128.
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ABSTRAK Pesawat udaramembutuhkan landasan pacu untuk dapat lepas landas maupun untuk mendarat, hal yang sama juga berlaku untuk Pesawat udara tanpa awak(Fixed Wings Drone). Penelitian ini bertujuan merancang dan membuat Pesawat Udara Tanpa Awak yang di persiapkan untuk dapat Lepas landas dan mendarat secara vertikal. Agar dapat Lepas landas dan mendarat secara vertikal tanpa butuh landasan pacu pada pesawat di tambahkan empat rotor vertikal yang berfungsi mengambil alih gerakan saat pesawat Lepas landas dan mendarat secara vertikal. Ide perancangan berasaldari inventarisasi prinsip kerja pesawat sejenis yang telah ada, dilakukan optimalisasi bentuk dan dimensi pesawat,kemudian dibuat dalam bentuk gambar teknik untukproses pembuatan pesawat, akhirnya dilakukan pengujian. Jenis pesawat yang dibuat adalah tipe Twin Boom yang ditambahkan empat propeler dengan bentang sayap pesawat 160cm dan panjang pesawat sekitar 105cm dengan bobot total sekitar 1,5 kg. Setelah dilakukan uji statis dan uji dinamis, pesawat tanpa awakyang di buat dapat terbang dan bermanuver dengan baik. Kata kunci: Pesawat Tanpa Awak, Fixed Wings, Vertikal Takeoff and landing. ABSTRACT An aircraft requires a runway both take-off and landing, the same can also be stated for unmanned aerial vehicles (Fixed Wings Drone). This research was done with the purpose of designing and developing unmanned aerial vehicles with the capability of taking off and landing in a vertical manner without a runway. In order to achieve this, four vertical rotors were added to the plane body to help control its motion. The main idea of the research comes from the working principles of similar aircraft designs, developing optimization on the shape and the dimension of the plane, developing the engineering drawings for those designs, and then testing the designs. The type of aircraft designed was a Twin Boom design with the addition of four propellers. The plane has a total width of 160 cm and length of 105 cm, with a total weight of 1.5 kg. After dynamic testing, the aircraft managed to achieve flight and good maneuvering capabilities. Keywords: Unmanned Aerial Vehicle, Fixed Wings, Vertical Take-off and landing.
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Meißner, H., K. Stebner, T. Kraft, M. Geßner, and R. Berger. "SURVEY ACCURACY AND SPATIAL RESOLUTION BENCHMARK OF A CAMERA SYSTEM MOUNTED ON A FAST FLYING DRONE." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2020 (August 3, 2020): 261–68. http://dx.doi.org/10.5194/isprs-annals-v-1-2020-261-2020.
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Abstract. Many drones are used to obtain high resolution imagery. Subsequent 3D object point derivation from images of these systems is an established technique. While rotor-craft drones are often used to capture fine, detailed structures and objects in small-scale areas fixed-wing versions are commonly used to cover larger areas even far beyond line of sight. Usually, these drones fly at much higher velocities during data acquisition and therefore the according sensor requirements are much higher.This paper presents the evaluation of a prototype camera system for fast flying fixed-wing drones. Focus of investigation is to find out if higher operating velocities, up to 100 km/h during image acquisition, has any influence on photogrammetric survey and image quality itself. It will be shown that images, obtained by the presented camera system and carrier, do not suffer from motion blur and that the overall survey accuracy is approximately 1/4 of ground sample distance.Survey accuracy analysis is carried out using standard photgrammetric procedures using signaled control- and checkpoints and verifying their conformity in image space and object space.Fundamentals of image quality will be introduced, as well asan approach to determine and evaluate motion smear of remote sensing senors (in theory and practical use case). Furthermore, it will be shown that the designed camera system mounted on a fixed-wing carrier does not suffer from motion smear.
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Djamel Kaddouri, Benlefki Abdelkrim, Adjlout Lahouari, and Mokhtari Abdellah. "Experimental investigation of aerodynamics behavior of a new generic of unmanned air vehicle (heliplane)." Journal of Mechanical Engineering and Sciences 16, no. 3 (September 28, 2022): 9066–80. http://dx.doi.org/10.15282/jmes.16.3.2022.09.0718.
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The aeronautics studies and particularly the development of drones represent an important field, in which there is a very large number of research and studies.This article aims to present an experimental aerodynamic study of an autonomous surveillance unmanned aerial vehicle (UAV) that is capable of combining the advantages of both categories, namely the fixed-wing drones and the rotary-wing drones. To achieve this objective, a wind tunnel was used to study the flow around this drone in order to better understand the aerodynamic phenomena and to obtain some initial estimates of the lift, drag and moment coefficients, at three different Reynolds numbers of 4.02×104, 6.03×104 and 8.04×104, and for different angles of attack, from [−45°, +45°] with step of 1°.The experimental results obtained in this work show an casi-symetrical variation bertwen the negatif and positif incidence angles of the lift coeffecient, wiche indicate that the heliplane can fly in an inverted position, whatever the angle of incidence. Moreover, the minimum mean value of drag coeffecient according 1° incidence angle is 0.0478 then the drag due to geometry and pitching moment can never be canceled.
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Xiong, Wei, Zhao Ying Zhou, and Xiao Yan Liu. "Study of Low Cost Micro Autopilot for Fixed-Wing UAV." Advanced Materials Research 317-319 (August 2011): 1672–76. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1672.
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From the cost-effective viewpoint of low cost Bank-to-Turn (BTT) Unmanned Air Vehicles (UAV) and target drone, a low cost flight control system, with the fewest number of sensors, is studied in this paper for the fixed-wing UAV. The structure of the control system is described which is able to estimate necessary information to provide stabilization and guidance for a small fixed wing BTT UAV. The practical flight control system structure and control law for roll hold loop, altitude hold loop, trajectory tracking loop are designed based on the sensor configuration with only a MEMS rate gyro, a MEMS pressure sensor and global positioning system (GPS) receiver only. A prototype low cost autopilot is trial-produced to control a typical UAV. The Experimental results show the effectiveness of navigation and control methods of f the proposed methodology.
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Makode, Kunal. "Parcel providing and Patrolling Hexacopter with High Payload." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1977–80. http://dx.doi.org/10.22214/ijraset.2021.35378.
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The different varieties of drones may be differentiated in terms of the sort (fixed-wing, multirotor, etc.), the degree of autonomy, the dimensions and weight, and also the power supply. These specifications are dynamic, as an example for the drone’s cruising vary, the utmost flight length, and also the loading capability. Apart from the drone itself (i.e., the ‘platform’) varied varieties of payloads may be distinguished, together with freight (e.g., mail parcels, medicines, hearth ending material, flyers, etc.) and differing kinds of sensors (e.g., cameras, sniffers, meteorological sensors, etc.). Applications of various payloads are described. So as to perform a flight, drones have a necessity for (a specific amount of) wireless communication with a pilot on the bottom. During this paper we tend to are introducing drone consists of six blades referred to as hexocoptor that's upraised and propelled by six motor will which may which might carry a load up to ten weight unit or can fly up to thirty minute with payload. It contain twilight vision camera and GPS controller is employed for remote location in night. During this system, brushless DC motors are adjoined with the electronic speed controller.
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Gong, Jiangkun, Jun Yan, Huiping Hu, Deyong Kong, and Deren Li. "Improved Radar Detection of Small Drones Using Doppler Signal-to-Clutter Ratio (DSCR) Detector." Drones 7, no. 5 (May 10, 2023): 316. http://dx.doi.org/10.3390/drones7050316.
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The detection of drones using radar presents challenges due to their small radar cross-section (RCS) values, slow velocities, and low altitudes. Traditional signal-to-noise ratio (SNR) detectors often fail to detect weak radar signals from small drones, resulting in high “Missed Target” rates due to the dependence of SNR values on RCS and detection range. To overcome this issue, we propose the use of a Doppler signal-to-clutter ratio (DSCR) detector that can extract both amplitude and Doppler information from drone signals. Theoretical calculations suggest that the DSCR of a target is less dependent on the detection range than the SNR. Experimental results using a Ku-band pulsed-Doppler surface surveillance radar and an X-band marine surveillance radar demonstrate that the DSCR detector can effectively extract radar signals from small drones, even when the signals are similar to clutter levels. Compared to the SNR detector, the DSCR detector reduces missed target rates by utilizing a lower detection threshold. Our tests include quad-rotor, fixed-wing, and hybrid vertical take-off and landing (VTOL) drones, with mean SNR values comparable to the surrounding clutter but with DSCR values above 10 dB, significantly higher than the clutter. The simplicity and low radar requirements of the DSCR detector make it a promising solution for drone detection in radar engineering applications.
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Wu, Yansen, Deshan Liu, Tiancheng Wang, and Anmin Zhao. "Research of a novel aerodynamic evaluation method for fixed-wing UAV." Journal of Physics: Conference Series 2633, no. 1 (November 1, 2023): 012001. http://dx.doi.org/10.1088/1742-6596/2633/1/012001.
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Abstract The aerodynamic parameters of unmanned aerial vehicles (UAVs) play an important role in the newly designed drone. For the purpose of the real-time measurement of the aerodynamic performance parameters of the UAV in flight status, based on the self-development connected-wing configuration airplane, a novel airborne aerodynamics test scheme is researched and verified in this work. The findings of this study indicate that the effectiveness of numerical calculations can be verified by comparison with both results of the numerical simulation and airborne flight test in the same conditions. The newly designed UAV equipped with this test system in the future, not only achieves quick and reliable results of aerodynamic performance and powered system efficiency but also can save the expense of wind tunnel experiments, which is of high potential to the UAV application.
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An, Weigang, Tianyu Lin, and Peng Zhang. "An Autonomous Soaring for Small Drones Using the Extended Kalman Filter Thermal Updraft Center Prediction Method Based on Ordinary Least Squares." Drones 7, no. 10 (September 26, 2023): 603. http://dx.doi.org/10.3390/drones7100603.
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Many birds in the natural world are capable of engaging in sustained soaring within thermal updrafts for extended periods without flapping their wings. Autonomous soaring has the potential to greatly improve both the range and endurance of small drones. In this paper, the extended Kalman filter (EKF) thermal updraft center prediction method based on ordinary least squares (OLS) is proposed to develop the autonomous soaring system for small drones, and an adaptive step size update strategy is incorporated into the EKF. The proposed method is compared with EKF thermal updraft prediction methods through simulated experiments. The results indicate that the proposed prediction method has low computational complexity and fast convergence speed and performs more stably in weak thermal updrafts. The above advantages stem from the OLS providing an approximate distribution of the thermal updraft around the drone for the EKF. This empowers the EKF algorithm with ample information to dynamically update the thermal updraft center in real time. The adaptive step size update strategy further accelerates the convergence speed of this process. In addition, flight experiments were conducted on the Talon fixed-wing drone platform to test the autonomous soaring system. During the flight experiment, the drone successfully engaged in static soaring within thermal updrafts, effectively hovering and gaining energy. Throughout the approximately 40 min flight duration, the drone only utilized its propulsion for about 8 min. This demonstrated the effectiveness of the autonomous soaring system using the EKF thermal updraft center prediction method based on OLS. Finally, by analyzing and discussing the differences between the simulation experiment results and the flight experiment results, some improvement strategies for the current work are proposed.
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Lee, Sungjae, and Yosoon Choi. "Comparison of Topographic Surveying Results using a Fixed-wing and a Popular Rotary-wing Unmanned Aerial Vehicle (Drone)." Tunnel and Underground Space 26, no. 1 (February 29, 2016): 24–31. http://dx.doi.org/10.7474/tus.2016.26.1.024.
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Musoles, Jose Luis, Sergio Garcia-Nieto, Raul Simarro, and Cesar Ramos. "Motion Equations and Attitude Control in the Vertical Flight of a VTOL Bi-Rotor UAV: Part 2." Electronics 13, no. 13 (June 26, 2024): 2497. http://dx.doi.org/10.3390/electronics13132497.
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This paper gathers the dynamical modeling of an unmanned aircraft and the design and simulation of the control system, allowing it to perform a Vertical Take-Off (VTOL) maneuver, a fixed-wing (FW) flight and a transition between the two configurations using two tilting rotors (Bi-Tilt). These Unmanned Aerial Vehicles (UAVs) operating in this configuration are categorized as Hybrid UAVs, for their capability of having a dual flight envelope: flying like a multi-rotor and navigating like a traditional fixed-wing aircraft, allowing the drone to perform complex missions where these two flight configurations are essential. This work exhibits the Bi-Rotor non-linear dynamics, valid for both flight configurations, the design of the control algorithm for stability and navigation, and a simulation of a complete flight mission.
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Bayomi, Norhan, and John E. Fernandez. "Eyes in the Sky: Drones Applications in the Built Environment under Climate Change Challenges." Drones 7, no. 10 (October 16, 2023): 637. http://dx.doi.org/10.3390/drones7100637.
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This paper reviews the diverse applications of drone technologies in the built environment and their role in climate change research. Drones, or unmanned aerial vehicles (UAVs), have emerged as valuable tools for environmental scientists, offering new possibilities for data collection, monitoring, and analysis in the urban environment. The paper begins by providing an overview of the different types of drones used in the built environment, including quadcopters, fixed-wing drones, and hybrid models. It explores their capabilities and features, such as high-resolution cameras, LiDAR sensors, and thermal imaging, which enable detailed data acquisition for studying climate change impacts in urban areas. The paper then examines the specific applications of drones in the built environment and their contribution to climate change research. These applications include mapping urban heat islands, assessing the energy efficiency of buildings, monitoring air quality, and identifying sources of greenhouse gas emissions. UAVs enable researchers to collect spatially and temporally rich data, allowing for a detailed analysis and identifying trends and patterns. Furthermore, the paper discusses integrating UAVs with artificial intelligence (AI) to derive insights and develop predictive models for climate change mitigation and adaptation in urban environments. Finally, the paper addresses drone technologies’ challenges and the future directions in the built environment. These challenges encompass regulatory frameworks, privacy concerns, data management, and the need for an interdisciplinary collaboration. By harnessing the potential of drones, environmental scientists can enhance their understanding of climate change impacts in urban areas and contribute to developing sustainable strategies for resilient cities.
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Benavides, Martin T., F. Joel Fodrie, and David W. Johnston. "Shark detection probability from aerial drone surveys within a temperate estuary." Journal of Unmanned Vehicle Systems 8, no. 1 (March 1, 2020): 44–56. http://dx.doi.org/10.1139/juvs-2019-0002.
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Drones are easy to operate over metres-to-kilometre scales, making them potentially useful to monitor species distributions and habitat use in shallow estuaries with widely varying environmental conditions. To investigate the utility of drones for surveying bonnethead sharks (Sphyrna tiburo) across estuarine environmental gradients, we deployed decoys, fashioned to mimic sharks, in the field. Decoys were placed in two flight areas (0.8 km2 each) in shallow (<2 m) water near Beaufort, N.C., on five days during 2015–2016. Survey flights were conducted using a fixed-wing drone (senseFly eBee) equipped with a digital camera. Images were indexed for combinations of six environmental factors across flights. Images representative of all (N = 36) observed environmental combinations were sent to a group of 15 scientists who were asked to identify sharks in each image. Non-parametric rank-sum comparisons and regression tree analysis on resultant detection probabilities highlighted depth as having the largest, statistically reliable influence on detection probabilities, with decreasing detection probabilities at increased depth. Detection probabilities were higher during midday flights, with notable effects of wind speed and cloud presence also apparent. Our study highlights depth as a first-order factor constraining the temperate estuarine habitats over which drones may reliably quantify sharks (i.e., <0.75 m).
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Morio, Jérôme, Baptiste Levasseur, and Sylvain Bertrand. "Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis." Applied Sciences 11, no. 9 (April 25, 2021): 3871. http://dx.doi.org/10.3390/app11093871.
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This paper addresses the estimation of accurate extreme ground impact footprints and probabilistic maps due to a total loss of control of fixed-wing unmanned aerial vehicles after a main engine failure. In this paper, we focus on the ground impact footprints that contains 95%, 99% and 99.9% of the drone impacts. These regions are defined here with density minimum volume sets and may be estimated by Monte Carlo methods. As Monte Carlo approaches lead to an underestimation of extreme ground impact footprints, we consider in this article multiple importance sampling to evaluate them. Then, we perform a reliability oriented sensitivity analysis, to estimate the most influential uncertain parameters on the ground impact position. We show the results of these estimations on a realistic drone flight scenario.
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Yakushiji, Koki, Fumiatsu Yakushiji, and Hiroshi Fujita. "The quality of blood dropped from an unmanned aerial vehicle (Drone)." Hematology & Transfusion International Journal 8, no. 2 (2020): 38–40. http://dx.doi.org/10.15406/htij.2020.08.00220.
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Objective: To evaluate the risk of deterioration in the quality of blood transported by a fixed-wing drone. Materials and methods: Red blood cell (RBC) solutions were categorized into “travel group” (transported by train or car to test place) and “non-travel” group. The travel group was further subcategorized into “dropped,” and “non-dropped” groups. One bag each from the dropped and non-dropped groups were wrapped in an Absorption Sheet (A-Sheet) and an Under Sheet (U-Sheet). RBC solution of dropped group was dropped onto the ground from an altitude of 10 Lactate dehydrogenase (LD) levels from the samples of RBC solution were measured and the LD ratio (LDR) was calculated as the rate of increase of the LD which can be compared. We compared the differences in LDR between the dropped and non-dropped groups. Results: In the dropped group, there was an increase in LDR before filtration in the blood wrapped in the A-sheet. No increase was noted in the blood wrapped in the U-sheet. LDR levels after filtration were slightly increased in the blood samples wrapped in the U-sheet and clearly increased in blood samples wrapped in the A-Sheet. Conclusion: We considered the possibility of blood getting hemolyzed due to a fall and observed that hemolysis was affected by packing. Thus, since it may be difficult to find good packaging for blood, dropped blood may not be safe for transfusion due to the likelihood of hemolysis. Hence, for practical purposes, using a drone without a fixed-wing may be preferable for transportation of blood.
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Yue, Hao, David Bassir, Hicham Medromi, Hua Ding, and Khaoula Abouzaid. "Optimal design of Vertical-Taking-Off-and-Landing UAV wing using multilevel approach." International Journal for Simulation and Multidisciplinary Design Optimization 11 (2020): 26. http://dx.doi.org/10.1051/smdo/2020020.
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In order to overcome the propre disadvantages of FW(Fixed-Wing) and VTOL(Vertical-Taking-Off-and-Landing) UAV (Unmanned Aerial Vehicle) and extend its application, the hybrid drone is invested more in recent years by researchers and several classifications are developed on the part of dual system. In this article, an innovative hybrid UAV is raised and studied by introducing the canard configuration that is coupled with conventional delta wing as well as winglet structure. Profited by Computational Fluid Dynamics (CFD) and Response Surface Method (RSM), a multilevel optimization approach is practically presented and concerned in terms of cruise flight mode: adopted by an experienced-based distribution strategy, the total lift object is respectively assigned into the delta wing (90–95%) and canard wing(5–10%) which is applied into a two-step optimization: the first optimization problem is solved only with the parameters concerned with delta wing afterwards the second optimization is successively concluded to develop the canard configuration considering the optimized delta wing conception. Above all, the optimal conceptual design of the delta and canard wing is realized by achieving the lift goal with less drag performance in cruise mode.
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Tadić, Snežana, Mladen Krstić, Miloš Veljović, Olja Čokorilo, and Milica Milovanović. "Risk Analysis of the Use of Drones in City Logistics." Mathematics 12, no. 8 (April 20, 2024): 1250. http://dx.doi.org/10.3390/math12081250.
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Drone delivery in city logistics is gaining attention due to road congestion, environmental threats, etc. However, there are risks associated with using drones which can result in hazardous events, such as conflicts in the air, loss of control, and system failures. It is crucial to assess the risks involved in using different types of drones and choose the option with the lowest risk. The existence of different criteria important for this decision imposes the need to apply the multi-criteria decision-making (MCDM) method(s). This paper proposes a new hybrid model that combines the fuzzy Factor Relationship (FARE) method for obtaining the criteria weights and the Axial Distance-based Aggregated Measurement (ADAM) method for obtaining the final ranking of the alternatives. A single-rotor microdrone weighing up to 4.4 lb was chosen as the optimal solution, and after that, the most favorable are also the drones of this size (multi-rotor and fixed-wing microdrones). The establishment of a novel hybrid MCDM model, the identified risks, the set of criteria for evaluating the least risky drones, and the framework for prioritizing the drones are the main novelties and contributions of the paper.
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Badea, Gabriel Petre, Tiberius Florian Frigioescu, Madalin Dombrovschi, Grigore Cican, Marius Dima, Victoras Anghel, and Daniel Eugeniu Crunteanu. "Innovative Hybrid UAV Design, Development, and Manufacture for Forest Preservation and Acoustic Surveillance." Inventions 9, no. 2 (April 10, 2024): 39. http://dx.doi.org/10.3390/inventions9020039.
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The research described in this paper focuses on the development of an innovative unmanned aerial vehicle (UAV) tailored for a specific mission: detecting the acoustic signature emitted by chainsaws, identifying deforestation, and reporting its location for legality assessment. Various calculations were conducted to determine the optimal solution, resulting in the choice of a fixed-wing UAV. A comparative analysis between tri-rotor and quadcopter systems was performed, leading to the selection of the tri-rotor configuration. The primary objective of this study is to design an innovative hybrid UAV concept with key features including a fixed-wing design and integrated VTOL (vertical takeoff and landing) capability in the experimental model. The aircraft has been constructed using advanced materials such as fiber-reinforced polymer composites, manufactured using both conventional and advanced techniques like continuous fiber additive manufacturing and the use of a polymer matrix. Additionally, the aerodynamic configuration is optimized to achieve a cruise speed of approximately 50 km/h and a flight autonomy exceeding 3 h. The UAV has been equipped with payloads for mounting sensors to collect meteorological data, and crucially, the VTOL system has been optimized to vectorize thrust for improved performance during the transition from hover to cruise flight. This paper details the entire manufacturing and assembly process of the drone, covering both the structural framework and associated electrical installations. A dedicated sound detection system is incorporated into the drone to identify chainsaw noise, with the aim of preventing deforestation.
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Avila-Sanchez, J. Silverio, Humberto L. Perotto-Baldivieso, Lori D. Massey, J. Alfonso Ortega-S., Leonard A. Brennan, and Fidel Hernández. "Evaluating the Use of a Thermal Sensor to Detect Small Ground-Nesting Birds in Semi-Arid Environments during Winter." Drones 8, no. 2 (February 15, 2024): 64. http://dx.doi.org/10.3390/drones8020064.
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Aerial wildlife surveys with fixed-wing airplanes and helicopters are used more often than on-the-ground field surveys to cover areas that are both extensive and often inaccessible. Drones with high-resolution thermal sensors are being widely accepted as research tools to aid in monitoring wildlife species and their habitats. Therefore, our goal was to assess the feasibility of detecting northern bobwhite quail (Colinus virginianus, hereafter ‘bobwhite’) using drones with a high-resolution thermal sensor. Our objectives were (1) to identify the altitudes at which bobwhites can be detected and (2) compare the two most used color palettes to detect species (black-hot and isotherm). We achieved this goal by performing drone flights at different altitudes over caged tame bobwhites and capturing still images and video recordings at altitudes from 18 to 42 m. We did not observe or detect any obvious signs of distress, movement, or fluttering of bobwhites inside cages caused by the noise or presence of the drone during data acquisition. We observed the highest counts of individual bobwhites with the black-hot thermal palette at 18 m (92%; x¯ = 47 bobwhites; SE = 0.41) and at 24 m (81%; x¯ = 41 bobwhites; SE = 0.89). The isotherm thermal palette had lower count proportions. The use of video to count quail was not feasible due to the low resolution of the video and the species size. Flying drones with high-resolution thermal sensors provided reliable imagery to detect roosting bobwhite individuals in South Texas during the winter.
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Lapointe, L., C. Buisson, and R. Fleet. "P084: The sky is not the limit! Protocol for a rapid systematic review on the use of drones in emergency medicine." CJEM 21, S1 (May 2019): S93—S94. http://dx.doi.org/10.1017/cem.2019.275.
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Introduction: Drones are already being used in medicine. They are employed to transport blood products and laboratory samples in rural and remote areas and they are increasingly being tested to deliver external defibrillators outside the hospital to patients with cardiac arrest. As this technology rapidly develops and attracts the attention of the scientific community, we present a rapid systematic review protocol that aims to synthesize the scientific evidence that has tested the use of drones to provide emergency medical care. Methods: A search strategy incorporating the concepts of ‘drone’ and ‘emergency medicine’ was launched in 52 bibliographic databases, including CINAHL and PubMed. Using the artificial intelligence module included in DistillerSR, a reviewer completed the first screening phase by reading the title and abstract of the retrieved articles. To be included, articles had to report empirical research projects that tested the potential uses of drones to improve the quality and accessibility of emergency medical care. These selection criteria were applied to the full text of the included articles during the second screening phase by a single reviewer. The results of these two screening phases will be validated by a second independent reviewer. The bibliography of included studies, relevant scientific journals and literature reviews will be manually searched for relevant articles. Results: The search strategy retrieved 1809 articles, of which 22 met our inclusion criteria in the first and second screening phases. Of these, one study used an empirical research design (qualitative interviews) to evaluate the usefulness of drones in emergency medicine, 17 used simulations or scenarios, and four were comprehensive literature reviews on the use of drones to provide healthcare. The final review will synthesize evidence related to the use of drones in emergency medicine and its impact on emergency medical services: nature of the emergency situation (cardiac arrest, blood transfusion), type of drone (fixed wing, quadcopter), tasks performed by drones (transport, surveillance), improvement in access or quality of care (patient's health, time saved in providing services). Conclusion: Drone technology is evolving rapidly and the indications for its use in providing emergency care is increasing. This rapid systematic review will focus on scientific studies aimed at testing the effectiveness of drones to improve the quality and access to emergency medical care.