Academic literature on the topic 'Unmanned aerial vehicle'

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Journal articles on the topic "Unmanned aerial vehicle"

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Oktay, Tugrul, Harun Celik, and Ilke Turkmen. "Maximizing autonomous performance of fixed-wing unmanned aerial vehicle to reduce motion blur in taken images." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 7 (March 28, 2018): 857–68. http://dx.doi.org/10.1177/0959651818765027.

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In this study, reducing motion blur in images taken by our unmanned aerial vehicle is investigated. Since shakes of unmanned aerial vehicle cause motion blur in taken images, autonomous performance of our unmanned aerial vehicle is maximized to prevent it from shakes. In order to maximize autonomous performance of unmanned aerial vehicle (i.e. to reduce motion blur), initially, camera mounted unmanned aerial vehicle dynamics are obtained. Then, optimum location of unmanned aerial vehicle camera is estimated by considering unmanned aerial vehicle dynamics and autopilot parameters. After improving unmanned aerial vehicle by optimum camera location, dynamics and controller parameters, it is called as improved autonomous controlled unmanned aerial vehicle. Also, unmanned aerial vehicle with camera fixed at the closest point to center of gravity is called as standard autonomous controlled unmanned aerial vehicle. Both improved autonomous controlled and standard autonomous controlled unmanned aerial vehicles are performed in real time flights, and approximately same trajectories are tracked. In order to compare performance of improved autonomous controlled and standard autonomous controlled unmanned aerial vehicles in reducing motion blur, a motion blur kernel model which is derived using recorded roll, pitch and yaw angles of unmanned aerial vehicle is improved. Finally, taken images are simulated to examine effect of unmanned aerial vehicle shakes. In comparison with standard autonomous controlled flight, important improvements on reducing motion blur are demonstrated by improved autonomous controlled unmanned aerial vehicle.
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Wang, Bo Hang, Dao Bo Wang, Zain Anwar Ali, Bai Ting Ting, and Hao Wang. "An overview of various kinds of wind effects on unmanned aerial vehicle." Measurement and Control 52, no. 7-8 (May 13, 2019): 731–39. http://dx.doi.org/10.1177/0020294019847688.

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Attitude, speed, and position of unmanned aerial vehicles are susceptible to wind disturbance. The types, characteristics, and mathematical models of the wind, which have great influence on unmanned aerial vehicle in the low-altitude environment, are summarized, including the constant wind, turbulent flow, many kinds of wind shear, and the propeller vortex. Combined with the mathematical model of the unmanned aerial vehicle, the mechanism of unmanned aerial vehicle movement in the wind field is illustrated from three different kinds of viewpoints including velocity viewpoint, force viewpoint, and energy viewpoint. Some simulation tests have been implemented to show the effects of different kinds of wind on unmanned aerial vehicle’s path and flight states. Finally, some proposals are presented to tell reader in which condition, which wind model should be added to simulation, and how to enhance the stability of unmanned aerial vehicle for different kinds of wind fields.
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Ju, Chanyoung, and Hyoung Il Son. "A distributed swarm control for an agricultural multiple unmanned aerial vehicle system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 10 (February 21, 2019): 1298–308. http://dx.doi.org/10.1177/0959651819828460.

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In this study, we propose a distributed swarm control algorithm for an agricultural multiple unmanned aerial vehicle system that enables a single operator to remotely control a multi-unmanned aerial vehicle system. The system has two control layers that consist of a teleoperation layer through which the operator inputs teleoperation commands via a haptic device and an unmanned aerial vehicle control layer through which the motion of unmanned aerial vehicles is controlled by a distributed swarm control algorithm. In the teleoperation layer, the operator controls the desired velocity of the unmanned aerial vehicle by manipulating the haptic device and simultaneously receives the haptic feedback. In the unmanned aerial vehicle control layer, the distributed swarm control consists of the following three control inputs: (1) velocity control of the unmanned aerial vehicle by a teleoperation command, (2) formation control to obtain the desired formation, and (3) collision avoidance control to avoid obstacles. The three controls are input to each unmanned aerial vehicle for the distributed system. The proposed algorithm is implemented in the dynamic simulator using robot operating system and Gazebo, and experimental results using four quadrotor-type unmanned aerial vehicles are presented to evaluate and verify the algorithm.
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Real, Fran, Arturo Torres-González, Pablo Ramón-Soria, Jesús Capitán, and Aníbal Ollero. "Unmanned aerial vehicle abstraction layer: An abstraction layer to operate unmanned aerial vehicles." International Journal of Advanced Robotic Systems 17, no. 4 (July 1, 2020): 172988142092501. http://dx.doi.org/10.1177/1729881420925011.

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This article presents a software layer to abstract users of unmanned aerial vehicles from the specific hardware of the platform and the autopilot interfaces. The main objective of our unmanned aerial vehicle abstraction layer (UAL) is to simplify the development and testing of higher-level algorithms in aerial robotics by trying to standardize and simplify the interfaces with the unmanned aerial vehicles. Unmanned aerial vehicle abstraction layer supports operation with PX4 and DJI autopilots (among others), which are current leading manufacturers. Besides, unmanned aerial vehicle abstraction layer can work seamlessly with simulated or real platforms and it provides calls to issue standard commands such as taking off, landing or pose, and velocity controls. Even though unmanned aerial vehicle abstraction layer is under continuous development, a stable version is available for public use. We showcase the use of unmanned aerial vehicle abstraction layer with a set of applications coming from several European research projects, where different academic and industrial entities have adopted unmanned aerial vehicle abstraction layer as a common development framework.
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Xu, Linxing, and Yang Li. "Distributed Robust Formation Tracking Control for Quadrotor UAVs with Unknown Parameters and Uncertain Disturbances." Aerospace 10, no. 10 (September 28, 2023): 845. http://dx.doi.org/10.3390/aerospace10100845.

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In this paper, the distributed formation tracking control problem of quadrotor unmanned aerial vehicles is considered. Adaptive backstepping inherently accommodates model uncertainties and external disturbances, making it a robust choice for the dynamic and unpredictable environments in which unmanned aerial vehicles operate. This paper designs a formation flight control scheme for quadrotor unmanned aerial vehicles based on adaptive backstepping technology. The proposed control scheme is divided into two parts. For the position subsystem, a distributed robust formation tracking control scheme is developed to achieve formation flight of quadrotor unmanned aerial vehicles and track the desired flight trajectory. For the attitude subsystem, an adaptive disturbance rejection control scheme is proposed to achieve attitude stabilization during unmanned aerial vehicle flight under uncertain disturbances. Compared to existing results, the novelty of this paper lies in presenting a disturbance rejection flight control scheme for actual quadrotor unmanned aerial vehicle formations, without the need to know the model parameters of each unmanned aerial vehicle. Finally, a quadrotor unmanned aerial vehicle swarm system is used to verify the effectiveness of the proposed control scheme.
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Gabhane, Sakha. "Unmanned Aerial Vehicle." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 1370–76. http://dx.doi.org/10.22214/ijraset.2021.34557.

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Wang, Ziyi. "Summarize of the Development of UAV." Academic Journal of Science and Technology 12, no. 2 (September 14, 2024): 178–79. http://dx.doi.org/10.54097/brgxrg45.

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An unmanned aerial vehicle is an unmanned aerial vehicle that, compared to a piloted aircraft, does not require a pilot to fly, and is therefore also called an unmanned aerial vehicle. UAVs have a wide range of applications in both military and civilian fields. In the military field, UAVs are capable of performing a variety of missions such as reconnaissance, surveillance, target location. This article will analyze the current application of unmanned aerial vehicles in military and civilian fields from the development history and current situation of unmanned aerial vehicles, and prospect its future development trend.
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RĂDUCANU, Gabriel, and Ionică CÎRCIU. "UNMANNED AERIAL VEHICLE FUTURE DEVELOPMENT TRENDS." Review of the Air Force Academy 15, no. 3 (December 14, 2017): 105–10. http://dx.doi.org/10.19062/1842-9238.2017.15.3.12.

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UDEANU, Gheorghe, Alexandra DOBRESCU, and Mihaela OLTEAN. "UNMANNED AERIAL VEHICLE IN MILITARY OPERATIONS." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (June 24, 2016): 199–206. http://dx.doi.org/10.19062/2247-3173.2016.18.1.26.

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Melnikov, Sergiy V., Sergiy O. Bondar, and Oleksiy Yu Gospodarchuk. "Modern Unmanned Aerial Vehicle Control Systems." Upravlâûŝie sistemy i mašiny, no. 6 (272) (January 2018): 84–90. http://dx.doi.org/10.15407/usim.2017.06.084.

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Dissertations / Theses on the topic "Unmanned aerial vehicle"

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Sargeant, Nick. "Unmanned aerial vehicle payload development for aerial survey." Thesis, Sargeant, Nick (2012) Unmanned aerial vehicle payload development for aerial survey. Other thesis, Murdoch University, 2012. https://researchrepository.murdoch.edu.au/id/eprint/14812/.

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Aerial imaging is key part of remote sensing and surveying, however traditionalacquisition methods such as satellite imagery and manned aircraft suffer from some limitations, namely, “high capital, operational and personnel costs, slow and weather-dependent data collection, restricted manoeuvrability, limited availability, limited flying time, low ground resolution”[1].Unmanned Aerial Vehicle have gained increasing attention in recent years as technological advancements such as sensor minimization have made them a viable alternative for aerial photogrammetry applications. This report outlines the design and development of an Unmanned Aerial Vehicle suited for aerial survey. The first stage of the project involved a comprehensive literature review of existing research and evaluation of existing commercial solutions. Existing commercial solutions such as the Gatewing X100 have proved capable in industry, however a number of limitations were identified; the most prominent being that the optical payload they carry is rigidly coupled to the airframe. As weather conditions become more adverse and wind gusts buffet aircraft, the camera’s axisis no longer orthogonal relative to groundwhich ultimately reduces the quality of the data captured. Research identified from the literature review showed that “payload stabilization increases useful data capture during banking and increases processing success rate thanks to overall more predictable photo properties.” [7] In addition, “even when ordered to ‘fly straight’ over ground, deviations in roll and pitch of a few degrees occur due to turbulence and require extra image overlap pre-planned. Such overlap is costly in terms of flight time and performance worsens significantly during windy weather” [7]. As such, the primary focus of this project was to design an improved imaging payload design that actively stabilized the camera. The project started by evaluating a sub $200, open source, autopilot called the Ardupilot in a fixed wing aircraft. An appropriate camera and airframe were selected and a stabilized gimbal designed. During the project, setbacks were encountered whenCyber Technology, a company that provides ‘UAV solutions for search and rescue operations, military support, high-end surveillance, law enforcement, environmental conservation, agricultural operations, oil & gas structural inspection operations, and cinematography/photography applications’[2] showed interest and suggested that the project should instead focus on designing a surveying payload for one of their flagship products, the CyberQuad MAXI. An imaging payload was designed that satisfied all design constraints and was successfully integrated onto the CyberQuad. A flight planning parameter calculator was created and trial flights were then conducted. The planned test methodology to evaluate the gimbal was to collect imagery of a test site, flying repeated missions with a given overlap first with gimbal stabilization enabled and then again with the stabilization disabled such that the gimbal remained fixed. By contracting licensed surveyors to conduct a conventional surveyof the test site, using their data as an absolute reference, it was planned that the imagery captured could be processed using photogrammetric software and any improvements due to stabilization be quantified. Unfortunately the data from the ground control survey was not provided in time to be used forprocessing; however the gimbal did improve image acquisition. Further, in partnership with the aforementioned surveying company, a commercial test flight wasconducted at Kwinana Bulk Terminal surveying an iron-ore stockpile with industry grade models generated as a result. Development of the project will continue beyond the submission of this thesis and it is hoped that the survey data can be obtained and used for processing. This should definitively prove one of the original hypotheses of the research; using a stabilized gimbal allows for more efficient flight plans as a lower level of overlap is required. Additionally, the data generated from processing should allow an estimated function of overlap vs. model accuracy to be determined allowing future flight plans to be optimized.
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Dowd, Garrett E. "Improving Autonomous Vehicle Safety using Communicationsand Unmanned Aerial Vehicles." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574861007798385.

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Hauss, Jean-Marc C. (Jean-Marc Claude) 1975. "Design of a unmanned aerial vehicle." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50380.

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Guerra, Elia. "Unmanned Aerial Vehicle (UAV) per applicazioni geomatiche." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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La tesi tratta i dispositivi UAV, in particolare i droni di peso inferiore ai 25 kg, facendo riferimento alla normativa ENAC. Vengono descritte le applicazioni pratiche in campo civile, concentrandosi sulle geomatiche, delineando i principali sensori esterni utilizzati come Camere digitali, termiche e multispettrali.
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Allegretti, Marcello. "Unmanned Aerial Vehicle: tecnologie e prospettive future." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11979/.

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Partendo dalla definizione di UAV e UAS, arrivando a quella di drone, nella tesi saranno definiti i termini precedenti, ossia un sistema aereo senza pilota a bordo, la nascita del termine drone e le tendenze attuali. Dopo una precisa classificazione nelle quattro categorie principali (droni per hobbisti, commerciali e militari di me- dia grandezza, militari specifici di grandi dimensioni e stealth da combattimento) saranno descritti gli ambiti di utilizzo: da un lato quello militare e della sicurezza, dall’altro quello civile e scientifico. I capitoli centrali della tesi saranno il cuore dell’opera: l’architettura dell’UAV sarà descritta analizzando la totalità delle sue componenti, sia hardware che software. Verranno, quindi, analizzati i problemi relativi alla sicurezza, focalizzandosi sull’hacking di un UAV, illustrandone le varie tecniche e contromisure (tra cui anche come nascondersi da un drone). Il lavoro della tesi prosegue nei capitoli successivi con un’attenta trattazione della normativa vigente e dell’etica dei droni (nonché del diritto ad uccidere con tali sistemi). Il capitolo relativo alla tecnologia stealth sarà importante per capire le modalità di occultamento, le tendenze attuali e i possibili sviluppi futuri degli UAV militari da combattimento. Il capitolo finale sugli sviluppi futuri esporrà le migliorie tecnologiche e gli obiettivi degli UAV negli anni a venire, insieme ad eventuali utilizzi sia militari che civili. La ricerca sarà orientata verso sistemi miniaturizzati, multiple UAV e swarming.
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Valente, Evandro Gurgel do Amaral. "Composite construction of an unmanned aerial vehicle." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3930.

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Thesis (M.S.) -- University of Maryland, College Park, 2006.
Thesis research directed by: Dept. of Aerospace Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Susuz, Umut. "Aeroelastic Analysis Of An Unmanned Aerial Vehicle." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609225/index.pdf.

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In this thesis aeroelastic analysis of a typical Unmanned Aerial Vehicle (UAV) using MSC®
FlightLoads and Dynamics module and MSC®
NASTRAN Aero 1 solver was performed. The analyses were carried out at sea level, 1000m, 2000m and 4000m altitudes for Mach Numbers M=0.2, 0.4 and 0.6 for the full model of the UAV. The flutter characteristics of the UAV for different flight conditions were obtained and presented. The effect of altitude on flutter characteristics has been examined and compared with the theoretical and experimental trends in the literature. Also the divergence characteristics of the full model UAV was obtained. In the study, some verification and test cases are also included. The results of the analyses of an untapered swept-wing and AGARD 445.6 wing models were compared with wind tunnel data and a maximum error of 1.3 % in the flutter speed prediction was obtained. In two different wing models the effect of taper was investigated.
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Tell, Fredrik. "CCUAV : Cloud Center for Unmanned Aerial Vehicle." Thesis, Högskolan i Halmstad, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-36304.

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Projektets syfte är att bryta kopplingen mellan en specifik användare och drönare. Målet med projektet är att flera användare ska kunna hantera flera drönare från en central. En länk mellan en internetbaserad plattform vid namn Thingworx och en drönare med en inbyggd styrenhet, som kallas Pixhawk, sammankopplas med mikrodatorn Raspberry Pi 3. Sjöräddningssällskapet i Sverige önskar ett interface där flera av deras drönare med den inbyggda styrenheten kan hanteras och se dess position och videoström. PDSVisions mål är att skapa en demonstrator i en nyutvecklad plattform som förenklar uppkoppling med enheter med hjälp av ett begrepp som kallas IoT (Internet of Things). Resultat har resulterat i en prototyp av Sjöräddningssällskapets drönare ämnad att kontrolleras via den internetbaserade plattformen Thingworx. Drönaren startar, lyfter från marken och flyger en planerad rutt utan pilot. Slutsatsen visade att projektet kunde genomföras samt att det är möjligt att kommunicera med drönare via Thingworx
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Waugh, Edward Michael. "An unmanned aerial vehicle for oceanographic applications." Thesis, University of Southampton, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538988.

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Watkiss, Eric John. "Flight dynamics of an unmanned aerial vehicle." Thesis, Monterey, California. Naval Postgraduate School, 1994. http://hdl.handle.net/10945/28222.

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Approved for public release; distribution is unlimited.
Moments of inertia were experimentally determined and longitudinal and lateral/directional static and dynamic stability and control derivatives were estimated for a fixed wing Unmanned Air Vehicle (UAV). Dynamic responses to various inputs were predicted based upon the estimated derivatives. A divergent spiral mode was revealed, but no particularly hazardous dynamics were predicted. The aircraft was then instrumented with an airspeed indicator, which when combined with the ability to determine elevator deflection through trim setting on the flight control transmitter, allowed for the determination of the aircraft's neutral point through flight test. The neutral point determined experimentally corresponded well to the theoretical neutral point. However, further flight testing with improved instrumentation is planned to raise the confidence level in the neutral point location. Further flight testing will also include dynamic studies in order to refine the estimated stability and control derivatives
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Books on the topic "Unmanned aerial vehicle"

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Corps, United States Marine. Unmanned aerial vehicle operations. Washington, DC: Dept. of the Navy, Headquarters, U.S. Marine Corps, 2003.

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Imoize, Agbotiname Lucky, Sardar M. N. Islam, T. Poongodi, Lakshmana Kumar Ramasamy, and B. V. V. Siva Prasad, eds. Unmanned Aerial Vehicle Cellular Communications. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-08395-2.

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Duo, Bin, Xiaojun Yuan, and Yifan Liu. Securing Unmanned Aerial Vehicle Networks. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45605-3.

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Karakoc, T. Hikmet, and Emre Özbek, eds. Unmanned Aerial Vehicle Design and Technology. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-45321-2.

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Watkiss, Eric John. Flight dynamics of an unmanned aerial vehicle. Monterey, Calif: Naval Postgraduate School, 1994.

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Avtar, Ram, and Teiji Watanabe, eds. Unmanned Aerial Vehicle: Applications in Agriculture and Environment. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-27157-2.

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Civil Aviation Authority. Unmanned aerial vehicle operations in UK Airspace - guidance. London: Civil Aviation Authority, 2001.

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1956-, Drew John G., ed. Unmanned aerial vehicle end-to-end support considerations. Santa Monica, CA: RAND, 2005.

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Corrigan, Craig. California autonomous unmanned aerial vehicle air pollution profiling study. Sacramento, Calif.]: [California Energy Commission], 2009.

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Labbadi, Moussa, Yassine Boukal, and Mohamed Cherkaoui. Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81014-6.

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Book chapters on the topic "Unmanned aerial vehicle"

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Singh, Bhupinder, and Christian Kaunert. "Unmanned aerial vehicle." In Cognitive Machine Intelligence, 108–29. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003500865-7.

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Ng, Tian Seng. "Unmanned Aerial Vehicle System." In Flight Systems and Control, 109–18. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8721-9_6.

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Johnson, Eric N. "Unmanned Aerial Vehicle (UAV)." In Encyclopedia of Systems and Control, 1–6. London: Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_100039-1.

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Jankowski, Andrzej. "Unmanned Aerial Vehicle (UAV)." In Interactive Granular Computations in Networks and Systems Engineering: A Practical Perspective, 297–302. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57627-5_20.

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Johnson, Eric N. "Unmanned Aerial Vehicle (UAV)." In Encyclopedia of Systems and Control, 2388–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_100039.

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Shi, Minwei, Kai Yang, and He Zhou. "Unmanned Aerial Vehicle Networks." In Stochastic Geometry Analysis of Space-Air-Ground Networks, 59–90. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6266-8_3.

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Wenzel, Karl Engelbert, Andreas Masselli, and Andreas Zell. "Automatic Take Off, Tracking and Landing of a Miniature UAV on a Moving Carrier Vehicle." In Unmanned Aerial Vehicles, 221–38. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1110-5_15.

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Kingan, Michael J., Ryan S. McKay, Yan Wu, Riul Jung, and Sung Tyaek Go. "Unmanned Aerial Vehicle Propeller Noise." In Flinovia—Flow Induced Noise and Vibration Issues and Aspects—IV, 103–18. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-73935-4_6.

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Suganthi, S., G. Nagarajan, and T. Poongodi. "Blockchain Technology Enabling UAV Cellular Communications." In Unmanned Aerial Vehicle Cellular Communications, 203–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08395-2_9.

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Pradhan, Nilanjana, Roohi Sille, and Shrddha Sagar. "Artificial Intelligence Empowered Models for UAV Communications." In Unmanned Aerial Vehicle Cellular Communications, 95–113. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08395-2_5.

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Conference papers on the topic "Unmanned aerial vehicle"

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B, Panjavarnam, Anish Bose S. S, Dinesh K, and Nataraj P. "Unmanned Aerial Vehicle – Disaster Management." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), 1–4. IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780226.

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Singh, Siddharth Kumar, Dinanath Prasad, and Vikram Singh Rajput. "Multi-Role Unmanned Aerial Vehicle." In 2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC), 1–6. IEEE, 2024. https://doi.org/10.1109/akgec62572.2024.10868422.

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Wang, Jiaqi, Yuhang Wang, Zhiyi Ye, Yushun Lin, Zhanyong Wang, and Jiangang Guo. "Detection Model for Small Vehicle Targets from Unmanned Aerial Vehicle Perspectives." In 2024 IEEE International Conference on Unmanned Systems (ICUS), 207–12. IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10839936.

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Sklaličanová, Nikola, and Branislav Kandera. "Unmanned aerial vehicle pilot training." In Práce a štúdie. University of Zilina, 2021. http://dx.doi.org/10.26552/pas.z.2021.2.38.

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The paper titled "Unmanned aerial vehicle pilot training" is focused on the analysis of unmanned aerial vehicle pilot training and the importance of using an unmanned flight simulator during the practical training of unmanned aerial vehicle pilots. For the realization of the paper, we used a device that served to measure the mental workload of unmanned aerial vehicle pilots during simulated and practical flight. Our experiment involved 5 unmanned aerial vehicle pilots in training who had zero or minimal flying experience. The aim of this work was to investigate to what extent mental workload acts on UAV pilots during simulated and practical flights. The measurements and their analysis showed that a much greater load is exerted on the pilots of unmanned aerial vehicles during practical flight. Through a primary experiment of already experienced pilots, we concluded that the majority of respondents would welcome the opportunity to use an unmanned flight simulator during their training. The paperconcludes with a summary of the individual measurement results, graphical representations of the respondents' answers, as well as an implementation design that could be applied to the training of UAV pilots.
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Ericson, Steven, Melissa Kelly, Nathan Marshall, Ryan Navarro, Christopher Newton, Jeffrey Parkhurst, Adam Pranaitis, and Robert Waldron. "Autonomous Unmanned Aerial Vehicle." In 52nd Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0101.

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Doherty, Patrick. "Unmanned aerial vehicle research." In the 2006 international symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1232425.1232428.

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Ragab, Ahmed Refaat, Mohammad Sadeq Ale Isaac, Marco A. Luna, and Pablo Flores Pena. "Unmanned Aerial Vehicle Swarming." In 2021 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2021. http://dx.doi.org/10.1109/iceet53442.2021.9659698.

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Sinsley, Gregory, and Lyle Long. "Unmanned Aerial Vehicle and Unmanned Ground Vehicle Distributed Mapping." In AIAA Infotech@Aerospace 2010. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-3368.

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Kruber, Friedrich, Eduardo Sanchez Morales, Samarjit Chakraborty, and Michael Botsch. "Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304794.

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Kruber, Friedrich, Eduardo Sanchez Morales, Samarjit Chakraborty, and Michael Botsch. "Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304794.

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Reports on the topic "Unmanned aerial vehicle"

1

Weeks, Joseph L. Unmanned Aerial Vehicle Operator Qualifications. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada379424.

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Hann, Richard, and Tor Johansen. Unsettled Topics in Unmanned Aerial Vehicle Icing. SAE International, April 2020. http://dx.doi.org/10.4271/epr2020008.

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Hart, Chris, and Henry P. Williams. Usability Evaluation of Unmanned Aerial Vehicle Symbology. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada477535.

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Chitrakaran, Vilas K., Darren M. Dawson, Jian Chen, and Mathew Feemster. Vision Assisted Landing of an Unmanned Aerial Vehicle. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada465706.

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Carr, Lee, Kristen Lambrecht, Scott Shaw, Greg Whittier, and Catherine Warner. Unmanned Aerial Vehicle Operational Test and Evaluation Lessons Learned. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada424895.

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Perry, Chatry D. Unmanned Aerial Vehicle: A Tool for the Operational Commander. Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada381737.

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Leblanc, S. G., and H P White. 2016 unmanned aerial vehicle study at Mer Bleue, Ontario. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2020. http://dx.doi.org/10.4095/326066.

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Rasmussen, S. J., M. W. Orr, D. Carlos, A. F. Deglopper, and B. R. Griffith. Simulating Multiple Micro-Aerial Vehicles and a Small Unmanned Aerial Vehicle in Urban Terrain Using MultiUAV2. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada446221.

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Bo, Wang, Petar Getsov, and Svetoslav Zabunov. Tandem Helicopter and Other Award Winning Unmanned Aerial Vehicle Inventions. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, May 2018. http://dx.doi.org/10.7546/crabs.2018.04.12.

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Yang, Justin A. Conceptual Aerodynamic Modeling of a Flapping Wing Unmanned Aerial Vehicle. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada592189.

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