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Добірка наукової літератури з теми "UAV (unmanned aerial vehicles)"

Автор: Grafiati
Опубліковано: 13 липня 2022
Оновлено: 14 березня 2023

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Статті в журналах з теми "UAV (unmanned aerial vehicles)":

1

Guo, Kexin, Zhirong Qiu, Wei Meng, Lihua Xie, and Rodney Teo. "Ultra-wideband based cooperative relative localization algorithm and experiments for multiple unmanned aerial vehicles in GPS denied environments." International Journal of Micro Air Vehicles 9, no. 3 (March 28, 2017): 169–86. http://dx.doi.org/10.1177/1756829317695564.

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This article puts forward an indirect cooperative relative localization method to estimate the position of unmanned aerial vehicles (UAVs) relative to their neighbors based solely on distance and self-displacement measurements in GPS denied environments. Our method consists of two stages. Initially, assuming no knowledge about its own and neighbors’ states and limited by the environment or task constraints, each unmanned aerial vehicle (UAV) solves an active 2D relative localization problem to obtain an estimate of its initial position relative to a static hovering quadcopter (a.k.a. beacon), which is subsequently refined by the extended Kalman filter to account for the noise in distance and displacement measurements. Starting with the refined initial relative localization guess, the second stage generalizes the extended Kalman filter strategy to the case where all unmanned aerial vehicles (UAV) move simultaneously. In this stage, each unmanned aerial vehicle (UAV) carries out cooperative localization through the inter-unmanned aerial vehicle distance given by ultra-wideband and exchanging the self-displacements of neighboring unmanned aerial vehicles (UAV). Extensive simulations and flight experiments are presented to corroborate the effectiveness of our proposed relative localization initialization strategy and algorithm.
2

Majka, Andrzej. "Flight Loads of Mini UAV." Solid State Phenomena 198 (March 2013): 194–99. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.194.

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Designing and building of the unmanned aircraft, especially light and ultra light vehicles, is mainly performed using the experience gained when constructing the flying models. There have not been uniform principles of building and exploiting of the mini and micro UAV (Unmanned Aerial Vehicle) in the form of regulations similar to those for manned airplanes. The unmanned vehicles of these classes in terms of their abilities and attractive price are more frequently exploited using the same air area as manned airplanes performing missions over the inhabited areas. An urgent necessity arises to work out the norms of flight suitability of the mini and micro unmanned aerial vehicles. The work contains the analysis of suitability of the current aviation regulations to determine the requirements for the mini unmanned vehicles. The work concentrates on the phenomenon of determining the symmetrical loads from the maneuvers and the turbulence atmosphere. The result of this analysis is the Limit Maneuver Envelope, Limit Gust Envelope and Limit Combined Envelope for mini UAV. The analyzed flight states allowed selecting the so called design cases which can become a basis for determining the norms of loading of mini unmanned aerial vehicles which can constitute the beginning of the regulations for building of the unmanned aerial vehicles of this class.
3

Meng, Channa, John Morris, and Chattraku Sombattheera. "Tracking from Unmanned Aerial Vehicles." Applied Mechanics and Materials 781 (August 2015): 491–94. http://dx.doi.org/10.4028/www.scientific.net/amm.781.491.

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We use multiple tracking agents in parallel for autonomously tracking an arbitrary target from an unmanned aerial vehicle. An object initially selected by a user from a possibly cluttered scene containing other static and moving objects and occlusions - both partial and complete - is tracked as long as it remains in view using a single light-weight camera readily installed in a UAV. We assumed, for the present, at least, that the UAV sends images to a ground station which controls it. We evaluated several individual tracking agents in terms of tracking success and their times for processing frames streamed from the UAV to the ground station at 25 fps, so that the system shoud compute results in 40ms. Histogram trackers were most successful at $\sim 10$ ms per frame which can be further optimized.
4

Al-Mousa, Amjed, Belal H. Sababha, Nailah Al-Madi, Amro Barghouthi, and Remah Younisse. "UTSim: A framework and simulator for UAV air traffic integration, control, and communication." International Journal of Advanced Robotic Systems 16, no. 5 (September 1, 2019): 172988141987093. http://dx.doi.org/10.1177/1729881419870937.

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The interest in unmanned systems especially unmanned aerial vehicle is continuously increasing. Unmanned aerial vehicles started to become of great benefit in many different fields. It is anticipated that unmanned aerial vehicles will soon become a main component of the future urban air traffic. The integration of unmanned aerial vehicles within existing air traffic environments has started getting the attention of researchers. Integrating unmanned systems in the real-world urban air traffic requires the development of tools and simulators to enable researchers in their ongoing efforts. In this article, a simulator called UTSim is introduced. The proposed simulator is built using the Unity platform. UTSim is capable of simulating unmanned aerial vehicle physical specification, navigation, control, communication, sensing and avoidance in environments with static and moving objects. The simulator enables studying and exploring several unmanned aerial vehicle air traffic integration issues like sense and avoid, communication protocols, navigation algorithms, and much more. UTSim is designed and developed to be easily used. The user can specify the properties of the environment, the number and types of unmanned aerial vehicles in the environment, and specify the algorithm to be used for path planning and collision avoidance. The simulator outputs a log file with a lot of useful information such as the number of sent and received messages, the number of detected objects and collided unmanned aerial vehicles. Three scenarios have been implemented in this article to present the capabilities of UTSim and to illustrate how it can benefit researchers in the field of integrating unmanned aerial vehicles in urban air traffic.
5

Uche, U. E., and S. T. Audu. "UAV for Agrochemical Application: A Review." Nigerian Journal of Technology 40, no. 5 (May 13, 2022): 795–809. http://dx.doi.org/10.4314/njt.v40i5.5.

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Unmanned aerial vehicles (UAVs) are tools for mechanized agriculture: they are used to alleviate maladies in a variety of fields through commercial, scientific, agricultural, and infrastructure enhancement. The purpose of the paper is to illuminate knowledge on mechanized agriculture using unmanned aircraft systems for pesticides and fertilizer application in obstacle rich farm. Various journal papers were reviewed to ascertain the state-of-the-art in agricultural unmanned aerial vehicles. X-rayed are unmanned aerial vehicle agrochemicals spraying architecture and efficacy, deployment and control strategies, obstacle sensing and avoidance systems, development/studies, and the limitations of the technology. The review shows that great strides have been made to develop agricultural unmanned aerial vehicles that can autonomously identify obstacle type, realize desired avoidance actions, and carry out variable rate agrochemical application. It is however noted that studies should continue on developing protocols and standard operation procedure, more human friendly interface platform, power technology, higher payload, real time quality imagery and robust mechanical features as well as enhanced sense and avoidance technology to meet the requirement of agricultural unmanned aerial vehicle for real time autonomous actions, flight endurance, low speed and low altitude. The paper therefore addressed the lack of awareness and absence of dedicated education on precision agriculture in the farming sector that has since ensured that its adoption level as a preferred system of farming remains very low in Nigeria despite the many benefits of unmanned aircraft vehicle farming technology
6

Evdokimenkov, V. N., M. N. Krasilshchikov, and N. A. Lyapin. "THE RESEARCH OF UNMANNED AIRCRAFT EVASIVE MANEUVERS FROM ATTACK BY ENEMY AIRCRAFT ON THE BASIS OF THE GAME APPROACH." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 184 (October 2019): 21–31. http://dx.doi.org/10.14489/vkit.2019.10.pp.021-031.

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Actual level of unmanned aerial vehicles development allows us to consider them as an effective tool for solving a variety of civil and military tasks (primarily reconnaissance and strike). At the same time, one of the most important problems associated with the combat use of unmanned aerial vehicles remains to ensure their high survivability in organized counteraction conditions, the source of which can be both ground-based air defense and fighter aircraft (manned or unmanned). For this reason, the study and optimization of unmanned aerial vehicle evasion maneuvers from an enemy air attack remains relevant. In the article on the basis of game approach the algorithm of the unmanned aerial vehicle trajectory guaranteeing management providing its evasion from attack of the air opponent is offered. The study of unmanned aerial vehicle maneuverability tactically significant indicators influence on the effectiveness of the evasion maneuver. The results of simulation, demonstrated the influence of unmanned aerial vehicle maneuvering capabilities on achievement a positional advantage in order to solve the problem of evasion from enemy air attack, are presented. A series of computational experiments, whose results allow to assert that the use of the developed algorithm to guarantee control regardless of the relative initial state target UAV (Unmanned Aerial Vehicle) and UAV-interceptor with the comparability of their maneuvering capabilities in 73 % of cases provides the positional advantage of the target UAV, the UAV position relative to the interceptor makes inefficient use of the latest posted guided missiles, are performed. Note that the increase in the values of tactical indicators that reflect the maneuverability of the attacked UAV compared to the enemy, leads to the fact that in all cases, regardless of the initial position of the attacked UAV relative to the UAV-interceptor, it is ensured that it is brought beyond the zone of possible launches of guided missiles.
7

Chen, Mingzhang, Xuancheng Zhang, Xiaoshuang Xiong, Fanfei Zeng, and Wuhao Zhuang. "Transformer: A Multifunctional Fast Unmanned Aerial Vehicles–Unmanned Surface Vehicles Coupling System." Machines 9, no. 8 (July 29, 2021): 146. http://dx.doi.org/10.3390/machines9080146.

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With the continuous development of the maritime economy, the maritime unmanned surface vehicles (USVs) and unmanned aerial vehicles (UAVs) have become important parts of the maritime transportation system. Unmanned vehicles play a pivotal role in water safety management, offshore patrol and maritime rescue. Consequently, this article researches and develops an unmanned aerial vehicle–unmanned surface vehicle (UAV-USV) coupling system with multiple functions. The ship body module, the deformation module and the UAV module are designed by using the modular analysis method, then volume of fluid (VOF) technology and STAR-CCM+ software are applied to analyze the ship resistance before and after deformation and optimize it. The results show that the Transformer has high speed before deformation and stable navigation ability after deformation, and it can navigate in high winds and waves. It has a large reconnaissance range and some radar stealth capability, which can fulfill different tasks, such as maritime patrol, military strike and maritime rescue.
8

Raza, Ali, Syed Hashim Raza Bukhari, Farhan Aadil, and Zeshan Iqbal. "An UAV-assisted VANET architecture for intelligent transportation system in smart cities." International Journal of Distributed Sensor Networks 17, no. 7 (July 2021): 155014772110317. http://dx.doi.org/10.1177/15501477211031750.

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Vehicular ad hoc network is a pretty research vibrant area since last decade. It has been successfully used for intelligent transportation system and entertainment purposes for realization of smart cities. However, intermittent connectivity, high routing overhead, inflexible communication infrastructure, unscalable networks, and high packet collision are the key challenges that put hindrances on the wide applications of vehicular ad hoc network. The severity of these challenges become even more intensified when deployed in urban areas. To overcome these hurdles, integrating micro unmanned aerial vehicles with vehicular ad hoc network provides a viable solution. In this article, we proposed an unmanned aerial vehicle–assisted vehicular ad hoc network communication architecture in which unmanned aerial vehicles fly over the deployed area and provide communication services to underlying coverage area. Unmanned aerial vehicle–assisted vehicular ad hoc network avails the advantages of line-of-sight communication, load balancing, flexible, and cost effective deployment. The performance of the proposed model is evaluated against a case study of vehicle collision on highway. Results show that utilization of unmanned aerial vehicles ensures the guaranteed and timely delivery of emergency messages to nearby vehicles so that a safe action can be taken to avoid further damages.
9

Ali, Shaaban, Osama Hassan, Anand Gopalakrishnan, Aboobacker Muriyan, and Sobers Francis. "Unmanned Aerial Vehicles: A Literature Review." Journal of Hunan University Natural Sciences 49, no. 7 (July 30, 2022): 96–113. http://dx.doi.org/10.55463/issn.1674-2974.49.7.11.

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In recent years, Unmanned Aerial Vehicles (UAVs) have grown and increased in applications because of computational simplicity and adaptive control capacity with strong support from both civilian and military sectors. The applications of UAVs in various military, commercial and civilian areas have led to sustainable results. The application areas include but are not limited to oil & gas, cargo transport, geographic mapping, aerial photography, health care, and disaster management. The success of the UAV application missions is completely dependent on the accuracy in control provided by the flight controllers. Thus, there is a need for accurate, robust, and adaptive flight controllers. UAV dynamics modeling and identification and control of these vehicles are still major active areas of research and development. They pose severe challenges due to the vehicle's complex design, inherently nonlinear, and time-varying dynamics. The main goal of this paper is to identify the past research trends and recent improvements in UAVs. Furthermore, this paper discusses a comprehensive literature review according to the optimized objectives, solution techniques, and applications of UAVs such as Cargo Transport, Disaster Management, etc. According to the literature review, aerial photography is one of the applications of smart UAVs. The reliability of image matching across multiple camera perspectives, angles, and positions encourages computer vision approaches for UAV navigation, opening the way for future researchers to develop vision applications. This article presents a comprehensive literature review discussing the importance of UAV applications related to cost-effectiveness and versatility. Furthermore, a detailed survey of system modeling identification and control techniques is presented.
10

Mykyjchuk, Mykola, and Nataliya Zihanshyn. "MODELING A NETWORK OF UNMANNED AERIAL VEHICLES." Measuring Equipment and Metrology 82, no. 3 (2021): 42–48. http://dx.doi.org/10.23939/istcmtm2021.03.042.

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The research concerns the methods of UAV group control in networks with duplex communication between nodes built on the "client-server" architecture. Such systems belong to self-organized networks with variable topology. It is important to study the allowable parameters of deviation from the task in the management of a group of UAVs and analysis of the network topology for the group flighting. The network was optimized according to the Ant Colony algorithm ACO. The application of different types of algorithms prevents routing problems in networks, such as ANTMANET, AntNet, ACODV and others. Methods of coordination of group joint actions are considered. A method is proposed by which the optimal number of UAVs operated by one operator can be determined and the traffic intensity of the communication channel is calculated, as well as the bandwidth and packet transmission delay are estimated.
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Статті в журналах Дисертації Книги

Дисертації з теми "UAV (unmanned aerial vehicles)":

1

Heath, Garrett D. "Simulation analysis of Unmanned Aerial Vehicles (UAV)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA368265.

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2

Foster, Tyler Michael. "Dynamic Stability and Handling Qualities of Small Unmanned-Aerial-Vehicles UNMANNED-AERIAL-VEHICLES." BYU ScholarsArchive, 2004. https://scholarsarchive.byu.edu/etd/219.

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General aircraft dynamic stability theory was used to predict the natural frequencies, damping ratios and time constants of the dynamic modes for three specific small UAVs with wingspans on the scale from 0.6 meters to 1.2 meters. Using USAF DatCom methods, a spreadsheet program for predicting the dynamic stability and handling qualities of small UAVs was created for use in the design stage of new small UAV concept development. This program was verified by inputting data for a Cessna-182, and by then comparing the program output with that of a similar program developed by DAR Corporation. Predictions with acceptable errors were made for all of the dynamic modes except for the spiral mode. The design tool was also used to verify and develop dynamic stability and handling qualities design guidelines for small UAV designers. Using this design tool, it was observed that small UAVs tend to exhibit higher natural frequencies of oscillation for all of the dynamic modes. Comparing the program outputs with military handling qualities specifications, the small UAVs at standard configurations fell outside the range of acceptable handling qualities for short-period mode natural frequency, even though multiple test pilots rated the flying qualities as acceptable. Using dynamic scaling methods to adjust the current military standards for the short period mode, a new scale was proposed specifically for small UAVs. This scale was verified by conducting flight tests of three small UAVs at various configurations until poor handling qualities were observed. These transitions were observed to occur at approximately the boundary predicted by the new, adjusted scale.
3

Elmagri, Loay Hatem Rajab. "Architecture and Drones: Accomodating Unmanned Aerial Vehicles." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87584.

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Through out history, technological advancements have reshaped the built environment and its Architecture. The cities that we live in today were only made possible by the technologies of the first, second, and third industrial revolutions. Today, we are witnessing another technological revolution based on open source data and artificial intelligence. As there is an enormous amount of prosperous innovations that would directly impact Architecture design tools, building and finishing materials, and construction methods, there are also other innovations that would require spaces, buildings, and cities to be designed to accommodate them. Among the latter mentioned innovations is the Unmanned Aerial Vehicle (UAV), also know as drones. Like the automobile, drone technology will influence not only the way we live but also our design thinking and the components of our built environment. Along with drone�s ability to fly, UAV�s digital infrastructure is much more flexible and most importantly, invisible. Autonomous Drones� intelligent abilities allow them to provide a wide range of services in various fields such as; freight and delivery, transportation, infrastructure and buildings maintenance, survey, surveillance, policing, fire fighting, agriculture, and even construction, all of which will effectively reduce the amount of ground vehicle traffic, especially in populated cities. Today, as these possibilities are available and constantly under development, it is important for Architecture and Urban Design disciplines to address the challenge and provide comprehensive solutions to accommodate such a technology and allow its possibilities to prosper even further. The intent of this thesis is to study UAV technology and design a mix-use complex that embraces and accommodates UAV services such as; delivery, transport, freight, and maintenance. The complex hosts a residential tower, a vertical garden tower, ground level commercial spaces, and an underground drone hub.
MArch
4

DeJong, Paul. "COALITION FORMATION IN MULTI-AGENT UAV SYSTEMS." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2712.

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Coalitions are collections of agents that join together to solve a common problem that either cannot be solved individually or can be solved more efficiently as a group. Each individual agent has capabilities that can benefit the group when working together as a coalition. Typically, individual capabilities are joined together in an additive way when forming a coalition. This work will introduce a new operator that is used when combining capabilities, and suggest that the behavior of the operator is contextual, depending on the nature of the capability itself. This work considers six different capabilities of Unmanned Air Vehicles (UAV) and determines the nature of the new operator in the context of each capability as coalitions (squadrons) of UAVs are formed. Coalitions are formed using three different search algorithms, both with and without heuristics: Depth-First, Depth-First Iterative Deepening, and Genetic Algorithm (GA). The effectiveness of each algorithm is evaluated. Multi agent-based UAV simulation software was developed and used to test the ideas presented. In addition to coalition formation, the software aims to address additional multi-agent issues such as agent identity, mutability, and communication as applied to UAV systems, in a realistic simulated environment. Social potential fields provide a means of modeling a clustering attractive force at the same time as a collision-avoiding repulsive force, and are used by the simulation to maintain aircraft position relative to other UAVs.
M.S.Cp.E.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Computer Engineering
5

Noonan, Andrea L. "Flight plan generation for unmanned aerial vehicles." Thesis, Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/385.

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6

Larsen, Thor Liland. "Unmanned Aerial Vehicles for Post Disaster Surveys." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/429.

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In the current built environment, structures require regular observation and maintenance. Many of these structures can be quite challenging to evaluate. The required scaffolding, lifts, or similar access facilities can become quite costly to rent and construct, and can be a long term disturbance to those who use and manage the particular structure. Furthermore, there are situations where examination for the purpose of detailed analysis can be quite hazardous, if not entirely unsafe for humans. In a post-disaster environment traditional methods may not be safe or adequate for gaining access to parts of a structure that require observation or analysis. The use of a remotely controlled unmanned vehicle is a reliable, safe and cost effective substitute for assessing structures before and after seismic, terrorist, or other destructive events.
7

Kersop, Stefanus Jacobus. "Short range reconnaissance unmanned aerial vehicle / S.J. Kersop." Thesis, North-West University, 2009. http://hdl.handle.net/10394/9171.

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Unmanned aerial vehicles (UAVs) have been used increasingly over the past few years. Special Forces of various countries utilise these systems successfully in war zones such as Afghanistan. The biggest advantage is rapid information gathering without endangering human lives. The South African National Defence Force (SANDF) also identified the need for local short range aerial reconnaissance and information gathering. A detailed literature survey identified various international players involved in the development of small hand-launch UAV systems. Unfortunately, these overseas systems are too expensive for the SANDF. A new system had to be developed locally to comply with the unique requirements, and budget, of the SANDF. The survey of existing systems provided valuable input to the detailed user requirement statement (URS) for the new South African development. The next step was to build a prototype using off-the-shelf components. Although this aircraft flew and produced good video images, it turned out to be unreliable. The prototype UAV was then replaced with a standard type model aircraft, purchased from Micropilot. Some modifications were needed to ensure better compliance with the URS. Laboratory and field tests proved that the aircraft can be applied for aerial images, within range of 10 km from the ground control station (GCS). The major limitation is that it can only fly for 40 minutes. Furthermore, the airframe is not robust, needing repairs after only 15 flights. Although the system has shortcomings, it has already been used successfully. It is expected that improved battery technologies and sturdier light-weight materials will further help to improve the system beyond user specifications.
Thesis (MIng (Electrical Engineering))--North-West University, Potchefstroom Campus, 2010.
8

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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9

Hasnain, Syed Saad. "Navigation of Unmanned Aerial Vehicles Using Image Processing." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105628.

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The purpose of this thesis is to investigate the possibility of using aerial or satellite images or eventually digital elevation models in order to localize the UAV helicopter in the environment. Matching techniques are investigated in order to match the available on-board image of the area with the live images acquired by the on-board video camera. The problem is interesting because it can provide a redundancy for the UAV navigation system which is based only on GPS. The thesis is in the context of the development of an integrated system for navigation using image sequences from an aircraft. The system is composed of relative position estimation, which computes the current position of the helicopter by accumulating relative displacement extracted from successive aerial images. These successive aerial images are then matched using certain image matching techniques.
10

Howe, William Beaman. "DESIGN METHODS FOR REMOTELY POWERED UNMANNED AERIAL VEHICLES." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1386.

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A method for sizing remotely powered unmanned aerial vehicles is presented to augment the conventional design process. This method allows for unconventionally powered aircraft to become options in trade studies during the initial design phase. A design matrix is created that shows where, and if, a remotely powered vehicle fits within the design space. For given range and power requirements, the design matrix uses historical data to determine whether an internal combustion or electrical system would be most appropriate. Trends in the historical data show that the break in the design space between the two systems is around 30 miles and 1 kW. Electrical systems are broken into subcategories of onboard energy sources and remote power sources. For this work, only batteries were considered as an onboard energy source, but both lasers and microwaves were considered for remote power transmission methods. The conventional sizing method is adjusted to so that it is based on energy consumption, instead of fuel consumption. Using the manner in which microwaves and laser propagate through the atmosphere, the weight fraction of a receiving apparatus is estimated. This is then used with the sizing method to determine the gross takeoff weight of the vehicle. This new sizing method is used to compare battery systems, microwave systems, and laser systems.
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Книги з теми "UAV (unmanned aerial vehicles)":

1

Gerken, Louis. UAV-- unmanned aerial vehicles. Chula Vista, Calif., U.S.A: American Scientific Corp., 1991.

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2

Hamilton, John. UAVs: Unmanned aerial vehicles. Minneapolis, MN: ABDO Pub. Co., 2012.

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3

International Symposium on Unmanned Aerial Vehicles (2008 Orlando, Fla.). Unmanned aircraft systems: International Symposium on Unmanned Aerial Vehicles, UAV'08. Dordrecht: Springer, 2008.

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4

Tiwary, Arun Kumar. Unmanned aerial vehicles (UAVs): Past, present, and future. New Delhi: Lancer's Books, 2013.

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5

Sokol, Yevgen I., and Artur O. Zaporozhets, eds. Control of Overhead Power Lines with Unmanned Aerial Vehicles (UAVs). Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69752-5.

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6

Perry, Robert C. Integration of a multi-rate position filter in the navigation system of an Unmanned Aerial Vehicle (UAV) for precise navigation in the Local Tangent Plane (LTP). Monterey, Calif: Naval Postgraduate School, 1998.

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7

Allen, Peyton M. Incorporation of a Differential Global Positioning System (DPGS) in the control of an unmanned aerial vehicle (UAV) for precise navigation in the Local Tangent Plane (LTP). Monterey, Calif: Naval Postgraduate School, 1997.

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8

Lozano, Rogelio, ed. Unmanned Aerial Vehicles. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118599938.

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9

Valavanis, Kimon, ed. Unmanned Aerial Vehicles. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1110-5.

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10

Austin, Reg. Unmanned air vehicles: UAV design, development, and deployment. Chichester, West Sussex, U.K: Wiley, 2010.

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Частини книг з теми "UAV (unmanned aerial vehicles)":

1

Bürkle, Axel, Florian Segor, and Matthias Kollmann. "Towards Autonomous Micro UAV Swarms." In Unmanned Aerial Vehicles, 339–53. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1110-5_22.

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2

Mir, Hasan S. "Calibration Techniques for UAV Antenna Arrays." In Unmanned Aerial Vehicles, 513–25. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1110-5_30.

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Sanchez, Anand, Juan Escareno, and Octavio Garcia. "Autonomous Hovering of a Two-Rotor UAV." In Unmanned Aerial Vehicles, 59–78. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118599938.ch4.

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Garcia, Octavio, Juan Escareno, and Victor Rosas. "Modeling and Control of a Convertible Plane UAV." In Unmanned Aerial Vehicles, 79–113. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118599938.ch5.

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5

Oh, Hyondong, Dae-Yeon Won, Sung-Sik Huh, David Hyunchul Shim, Min-Jea Tahk, and Antonios Tsourdos. "Indoor UAV Control Using Multi-Camera Visual Feedback." In Unmanned Aerial Vehicles, 57–84. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1110-5_6.

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6

Escareno, Juan, Sergio Salazar, and Eduardo Rondon. "Two-Rotor VTOL Mini UAV: Design, Modeling and Control." In Unmanned Aerial Vehicles, 41–57. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118599938.ch3.

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George, Joel, Sujit P. B., and J. B. Sousa. "Search Strategies for Multiple UAV Search and Destroy Missions." In Unmanned Aerial Vehicles, 355–67. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1110-5_23.

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8

Kemper, F. Paulo, Koji A. O. Suzuki, and James R. Morrison. "UAV Consumable Replenishment: Design Concepts for Automated Service Stations." In Unmanned Aerial Vehicles, 369–97. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-1110-5_24.

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9

Valavanis, Kimon P., and George J. Vachtsevanos. "Networked UAVs and UAV Swarms: Introduction." In Handbook of Unmanned Aerial Vehicles, 1983–85. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_146.

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10

Rondon, Eduardo, Sergio Salazar, Juan Escareno, and Rogelio Lozano. "Vision-Based Position Control of a Two-Rotor VTOL Mini UAV." In Unmanned Aerial Vehicles, 191–208. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118599938.ch10.

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Тези доповідей конференцій з теми "UAV (unmanned aerial vehicles)":

1

Shetty, Devdas, and Louis Manzione. "Unmanned Aerial Vehicles (UAV): Design Trends." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64518.

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Анотація:
This paper looks at the trends in design procedures in Unmanned Aerial Vehicles (UAVs). Rapid advances in technology are enabling more and more capability to be placed on smaller airframes which is spurring a large increase in the number of UAVs being deployed in the army. The military role of UAV is growing at unprecedented rates. The UAV is an acronym for Unmanned Aerial Vehicle, which is an aircraft with no pilot on board. UAVs can be remote controlled aircraft (e.g. flown by a pilot at a ground control station) or can fly autonomously based on pre-programmed flight plans or more complex dynamic automation systems. A variety of design configurations are in use. The primary driving parameters in all UAVs is the need for maximizing available wing area and wing effectiveness, while minimizing the required storage volume. The major factors in determining the relative merit of the different concepts are the evaluation of structural viability, mechanical complexity and overall system survivability by G forces. This paper examines some of the design methodologies and hardware-in-the loop simulation environment to support and validate the UAV hardware and software development.
2

Weiskopf, Frank, Tim Gion, Dale Elkiss, Harold Gilreath, Jim Bruzek, Robert Bamberger, Ken Grossman, and Jordan Wilkerson. "Control of Cooperative, Autonomous Unmanned Aerial Vehicles." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3444.

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3

Johnson, Michael. "Analysis of Unmanned Aerial Vehicles Used as Tactical RSTA Assets." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3437.

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4

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.
5

Boskovic, Jovan, Ravi Prasanth, and Raman Mehra. "A Multi-Layer Architecture for Intelligent Control of Unmanned Aerial Vehicles." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3473.

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6

Bollino, Kevin, and Ernest Smith. "Incorporating Unmanned Aerial Vehicles (UAVs) into a Graduate Systems Engineering Curriculum." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3486.

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7

Jyoti, Jyoti, and Ranbir Singh Batth. "Unmanned Aerial vehicles (UAV) Path Planning Approaches." In 2021 International Conference on Computing Sciences (ICCS). IEEE, 2021. http://dx.doi.org/10.1109/iccs54944.2021.00023.

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8

Karinen, A., M. Pirttijarvi, and A. Saartenoja. "UAV-Based Vector Magnetic Survey System." In First EAGE Workshop on Unmanned Aerial Vehicles. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201903325.

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9

Zingaretti, P., A. Mancini, E. Frontoni, A. Monteriu`, and S. Longhi. "Autonomous Helicopter for Surveillance and Security." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35427.

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Unmanned Aerial Vehicles represent today an advanced and complex robotics platform for novel tasks. For example, UAVs can be used in applications for traffic monitoring and surveillance, emergency services assistance, photogrammetry and surveying. Generally, an UAV must be fully autonomous; autonomy is accomplished by a complex interconnection of systems related to a wide range of topics, e.g., flight low level control, navigation and task-based planning, elaboration of sensor signals, software architecture for reactive behaviours, communication. Today the challenge is the ability to insert UAVs in a cooperative network based on autonomous agents as UAV, UGV (Unmanned Ground Vehicle) to accomplish a specific task a priori defined. In this paper we introduce a prototype of autonomous aerial vehicle, the Helibot helicopter, specifically designed for applications as surveillance and security.
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Dupuy, B., A. Romdhane, A. Tobiesen, A. Grøver, and A. Einbu. "Integrated UAV monitoring workflow for natural hazards." In Second EAGE Workshop on Unmanned Aerial Vehicles. European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.2021629019.

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Звіти організацій з теми "UAV (unmanned aerial vehicles)":

1

BOOZ-ALLEN AND HAMILTON INC MCLEAN VA. Unmanned Aerial Vehicles (UAV) A Supplement to Battlefield Packages. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada405392.

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2

Braasch, Michael S. Unmanned Aerial Vehicle (UAV) Swarming and Formation Flight Navigation VIA LIDAR/INS. Fort Belvoir, VA: Defense Technical Information Center, August 2006. http://dx.doi.org/10.21236/ada456221.

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3

Chen, Won-Zon, Jan M. DeLuca, Jeffrey D. Koeller, William F. O'Neil, and Ivan H. Wong. Autonomous Unmanned Aerial Vehicle (UAV) Airspace Operations Sensing Requirements. Volume 1 - Performance. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada410310.

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4

Bostian, Charles W., and Alexander R. Young. The Application of Cognitive Radio to Coordinated Unmanned Aerial Vehicle (UAV) Missions. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada546145.

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5

Oncu, Mehmet, and Suleyman Yildiz. An Analysis of Human Causal Factors in Unmanned Aerial Vehicle (UAV) Accidents. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada620843.

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6

Song, Yong D. Fault-Tolerant and Reconfigurable Control of Unmanned Aerial Vehicles (UAVs). Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada477568.

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7

Bezandry, Melissa, Adrienne Raglin, and John Noble. Effects of Hearing Protection Device Attenuation on Unmanned Aerial Vehicle (UAV) Audio Signatures. Fort Belvoir, VA: Defense Technical Information Center, March 2016. http://dx.doi.org/10.21236/ad1006022.

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8

Fry, Timothy. Unique Stealth Unmanned Aerial Vehicle (UAV) Houck Aircraft Design Program. Volume 2: Prototype Report. Fort Belvoir, VA: Defense Technical Information Center, November 2008. http://dx.doi.org/10.21236/ada494062.

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9

Altman, Aaron. Unique Stealth Unmanned Aerial Vehicle (UAV) Houck Aircraft Design Program. Volume 1: Program Overview. Fort Belvoir, VA: Defense Technical Information Center, November 2008. http://dx.doi.org/10.21236/ada494088.

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Bostian, Charles W., and Alexander R. Young. Low-cost Cognitive Electronics Technology for Enhanced Communications and Situational Awareness for Networks of Small Unmanned Aerial Vehicles (UAV). Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada582601.

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