Relevant bibliographies by topics / Unmanned Aerial Vehicle (UAV)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Unmanned Aerial Vehicle (UAV)'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 January 2025

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Journal articles on the topic "Unmanned Aerial Vehicle (UAV)"

1

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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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.
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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.
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Zhang, Jingmin, Xiaokui Yue, Haofei Zhang, and Tiantian Xiao. "Optimal Unmanned Ground Vehicle—Unmanned Aerial Vehicle Formation-Maintenance Control for Air-Ground Cooperation." Applied Sciences 12, no. 7 (April 1, 2022): 3598. http://dx.doi.org/10.3390/app12073598.

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This paper investigates the air–ground cooperative time-varying formation-tracking control problem of a heterogeneous cluster system composed of an unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV). Initially, the structure of the UAV–UGV formation-control system is analyzed from the perspective of a cooperative combat system. Next, based on the motion relationship between the UAV–UGV in a relative coordinate system, the relative motion model between them is established, which can clearly reveal the physical meaning of the relative motion process in the UAV–UGV system. Then, under the premise that the control system of the UAG is closed-loop stable, the motion state of the UGV is modeled as an input perturbation. Finally, using a linear quadratic optimal control theory, a UAV–UGV formation-maintenance controller is designed to track the reference trajectory of the UGV based on the UAV–UGV relative motion model. The simulation results demonstrate that the proposed controller can overcome input perturbations, model-constant perturbations, and linearization biases. Moreover, it can achieve fast and stable adjustment and maintenance control of the desired UAV–UGV formation proposed by the cooperative combat mission planning system.
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Nneka Eze, Constance, Beatrice Ifeoma Ugwuoke, and Chikeani N.I. "Development of Energy Efficient For UAV." International Journal of Research and Innovation in Applied Science 07, no. 06 (2022): 20–24. http://dx.doi.org/10.51584/ijrias.2022.7602.

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The development of energy efficiency in unmanned aerial vehicle operations was proposed in this work. Tremendous and remarkable achievements have been recorded in the area of unmanned aerial vehicle operations with regards to energy efficiency. The principal aim of energy efficiency while maintaining accurate collision avoidance. Characterization of the energy consumption of a conventional unmanned aerial vehicle was first carried out, then, A successful characterization was followed by development of a Simulink model of the conventional unmanned aerial vehicle with the characterized parametric values as input for simulation. With a reliable simulation result, then a model on energy efficiency was developed. This model was simulated in order to validate and justify the work. Velocity and energy-time graphs were plotted to show the relationships of velocity and time of unmanned aerial vehicle flight as well as energy expended and time. Computations from the plotted graphs show an energy efficiency of 8.3% over a conventional operation of unmanned aerial vehicle without the application of the technique in this research. This is the percentage of improvement. It is a justification and validation of this research on the use of energy efficiency in unmanned aerial vehicle operations. It has been established that energy consumption in unmanned aerial vehicle operations is influenced by its mode of operation at a given time. There is an obvious reduced running cost with energy efficiency.
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Madey, Alexander G. "Unmanned Aerial Vehicle Swarms." International Journal of Agent Technologies and Systems 5, no. 3 (July 2013): 1–13. http://dx.doi.org/10.4018/ijats.2013070101.

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Unmanned aerial vehicles (UAVs) are being widely used for both military and civilian purposes. The advent of smaller, lighter, less expensive UAVs opens opportunities to deploy a large number of small, semi-autonomous UAVs in a cohesive group or “swarm”. Swarms offer numerous advantages over single UAVs, such as higher coverage, redundancy in numbers and reduced long-range bandwidth requirements. Engineering a swarm requires designing the swarming behavior and finding effective ways to control the behavior so that the swarm can be directed to complete its mission. This paper presents an approach to developing UAV swarming behaviors and command and control (C2) strategies to govern them. The agent-based modeling toolkit NetLogo is used to create two mission types: contaminant plume mapping and vessel tracking. Performance metrics are used to evaluate success as parameters are changed. This research demonstrates the potential usefulness of agent-based modeling in the engineering of UAV swarms.
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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
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Lie, Gunardi, Moody Rizqy Syailendra, and Indah Siti Aprilia. "URGENCY OF REGULATING THE UNMANNED AERIAL VEHICLE (UAV) AS A TECHNOLOGY PRODUCT IN INDONESIAN AVIATION LAW." International Journal of Application on Social Science and Humanities 1, no. 1 (February 23, 2023): 152–56. http://dx.doi.org/10.24912/ijassh.v1i1.25777.

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The development of the Unmanned Aerial Vehicle (UAV) as a Technology Product is the trigger for the enactment of Regulation of the Minister of Transportation of the Republic of Indonesia Number 180 of 2015 concerning Operational Control of Unmanned Aerial Vehicle System in the Air Space Served By Indonesia which was amended by Minister Regulation Number 47 of 2016 concerning the same matter. Such regulation has banned the operating of an unmanned aerial vehicle (UAV) on controlled airspace and uncontrolled airspace at altitudes of more than 500 feet Above Ground Level (AGL). The aim of this paper is to review the urgency of regulating the Unmanned Aerial Vehicle (UAV) as a technology product in Indonesian Aviation Law. The research method used in this study is normative. Normative method is utilized to review the urgency of regulating the Unmanned Aerial Vehicle (UAV) as a technology product in Indonesian Aviation Law. The urgency of regulating the Unmanned Aerial Vehicle (UAV) is related to aviation safety in Law of the Republic of Indonesia Number 1 of 2009 concerning Aviation and other related regulation. Secondary data used in this research consists of primary legal material and secondary legal material.
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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.
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Shen, Xin. "Research on autonomous decision-making of UAV swarm based on neural network algorithm." Applied and Computational Engineering 67, no. 1 (August 14, 2024): 307–13. http://dx.doi.org/10.54254/2755-2721/67/20240598.

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This article focuses on typical unmanned aerial vehicle (UAV) cluster autonomous collaborative reconnaissance mission scenarios, constructs UAV classes in Matlab, and effectively constructs UAV autonomous decision-making models using two different algorithms; Using Extreme Learning Machines (ELM) and introducing neural network methods to solve autonomous decision-making problems for unmanned aerial vehicles. Test the performance of the model under multiple neural network algorithms, basically achieving unmanned aerial vehicles to complete flight targets based on multiple sensor parameters in unknown environments, using reinforcement learning algorithms to achieve autonomous decision-making of unmanned aerial vehicles, achieving multi parameter fusion (with parameters greater than 4) decision-making, with a decision-making time of less than 100ms, which can ensure timely decision-making while also considering the rationality of the model.
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Dissertations / Theses on the topic "Unmanned Aerial Vehicle (UAV)"

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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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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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Wagner, Anthony Julian. "Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/90785.

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This work presents a framework for the exploration and path planning for a collaborative UAV and UGV system. The system is composed of a UAV with a stereo system for obstacle detection and a UGV with no sensors for obstacle detection. Two exploration algorithms were developed to guide the exploration of the UAV. Both identify frontiers for exploration with the Dijkstra Frontier method using Dijkstra's Algorithm to identify a frontier with unknown space, and the other uses a bi-directional RRT to identify multiple frontiers for selection. The final algorithm developed was for to give the UGV partial plans when an entire plan is not yet found. This improves the overall mission tempo. The algorithm is designed to keep the UGV a safe distance from the unknown frontier to prevent backtracking. All the algorithms were tested in Gazebo using the ROS framework. The Dijkstra Frontier method was also tested on the hardware system. The results show the RRT Explore algorithm to work well for exploring the environment, performing equally or better than the Dijkstra Frontier method. The UGV partial plan method showed a decreased traveled distance for the UGV but increases in UGV mission time with more conservative distances from danger. Overall, the framework showed a good exploration of the environment and performs the intended missions.
Master of Science
This work presents a framework for the exploration and path planning for a collaborative aerial and ground vehicle robotic system. The system is composed of an aircraft with a camera system for obstacle detection and a ground vehicle with no sensors for obstacle detection. Two exploration algorithms were developed to guide the exploration of the aircraft. Both identify frontiers for exploration with the Dijkstra Frontier method using path planning algorithms to identify a frontier with unknown space (Dijkstra Frontier), and the other uses a sampling based path planning method (RRT Explore) to identify multiple frontiers for selection. The final algorithm developed was for to give the ground vehicle intermediate plans when an entire plan is not yet found. The algorithm is designed to keep the ground vehicle a safe distance from the unknown frontier to prevent backtracking. All the algorithms were tested in a simulation framework using Robot Operating System and one exploration method was tested on the hardware system. The results show the RRT Explore algorithm to work well for exploring the environment, performing equally or better than the Dijkstra Frontier method. The ground vehicle intermediate plan method showed a decreased traveled distance for the ground vehicle but increases in ground vehicle mission time with more conservative distances from danger. Overall, the framework showed a good exploration of the environment and performs the intended missions.
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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.
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Toazza, Denny Antonio, and Tae Hyun Kim. "Navigation Control of an Unmanned Aerial Vehicle (UAV)." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-3730.

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The thesis covers a new navigation algorithm for UAV to fly through several given GPS coordinates without any human interference. The UAV first gets its current position from GPS receiver via Bluetooth connection with the navigator computer. With this GPS point, it draws an optimal trajectory to next destination. During the flight, the navigator computer issues the information about which direction to turn and how much to turn. This information will be used to steer the airplane servos.

The algorithm is programmed in Java LeJOS. It uses built-in Java classes about GPS and Bluetooth. The main computer, where the navigation program runs, is a LEGO Mindstorms NXT and it is used a GPSlim240 from HOLUX as a GPS receiver.

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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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Meyer, Danielle L. "Energy Optimization of a Hybrid Unmanned Aerial Vehicle (UAV)." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523493111005807.

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Lee, Kyuho. "Development of unmanned aerial vehicle (UAV) for wildlife surveillance." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0008979.

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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
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Bradley, Justin, and Breton Prall. "AN UNMANNED AERIAL VEHICLE PROJECT FOR UNDERGRADUATES." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604143.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California
Brigham Young University recently introduced a project for undergraduates in which a miniature unmanned aerial vehicle system is constructed. The system is capable of autonomous flight, takeoff, landing, and navigation through a planned path. In addition, through the use of video and telemetry collected by the vehicle, accurate geolocation of specified targets is performed. This paper outlines our approach and successes in facilitating this accomplishment at the undergraduate level.
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Books on the topic "Unmanned Aerial Vehicle (UAV)"

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

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2

K, Valavanis, Oh Paul Y, and Piegl Les A, eds. Unmanned aircraft systems: International Symposium on Unmanned Aerial Vehicles, UAV'08. Dordrecht: Springer, 2008.

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

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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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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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Book chapters on the topic "Unmanned Aerial Vehicle (UAV)"

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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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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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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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Duo, Bin, Xiaojun Yuan, and Yifan Liu. "Securing UAV Networks for Rural Areas." In Securing Unmanned Aerial Vehicle Networks, 23–49. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45605-3_3.

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Duo, Bin, Xiaojun Yuan, and Yifan Liu. "Securing UAV Networks for Urban Areas." In Securing Unmanned Aerial Vehicle Networks, 51–85. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45605-3_4.

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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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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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Duo, Bin, Xiaojun Yuan, and Yifan Liu. "Securing UAV Networks for Dense Urban Areas." In Securing Unmanned Aerial Vehicle Networks, 87–113. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45605-3_5.

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Conference papers on the topic "Unmanned Aerial Vehicle (UAV)"

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Safie, Sairul Izwan, and Nur Aini Maisarah Mohd Yunus. "Unmanned Aerial Vehicle (UAV) Control Through Speech Recognition." In 2024 IEEE 10th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 191–95. IEEE, 2024. http://dx.doi.org/10.1109/icsima62563.2024.10675578.

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Tan, Li, Zikang Liu, He Liu, Dongfang Li, and Chen Zhang. "A Real-Time Unmanned Aerial Vehicle (UAV) Aerial Image Object Detection Model." In 2024 International Joint Conference on Neural Networks (IJCNN), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650543.

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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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Montalbano, Nicholas, Anirudh Patel, Kyle Williams, and Todd Humphreys. "Unmanned Aerial Vehicle (UAV) Interception." In Proposed for presentation at the UT LDRD Student Poster Session held April 8-8, 2021 in Virtual, . US DOE, 2021. http://dx.doi.org/10.2172/1888473.

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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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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.
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Weinstein, Steve, Tom Sachse, and William McGannon. "Submarine Unmanned Aerial Vehicle System...Past, Present and Future Efforts." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3508.

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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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Lu, Maxim, Alex James, and Mehdi Bagheri. "Unmanned Aerial Vehicle (UAV) charging from powerlines." In 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2017. http://dx.doi.org/10.1109/appeec.2017.8308912.

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Brown, Brad. "Joint unmanned aerial vehicle (UAV) program update." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Paul A. Henkel, Thomas W. Augustyn, and Wallace G. Fishell. SPIE, 1993. http://dx.doi.org/10.1117/12.165535.

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Abudarag, Sakhr, Rashid Yagoub, Hassan Elfatih, and Zoran Filipovic. "Computational analysis of unmanned aerial vehicle (UAV)." In ICNPAA 2016 WORLD CONGRESS: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. Author(s), 2017. http://dx.doi.org/10.1063/1.4972593.

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Reports on the topic "Unmanned Aerial Vehicle (UAV)"

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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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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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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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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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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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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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Borrie, John, Elena Finckh, and Kerstin Vignard. Increasing Transparency, Oversight and Accountability of Armed Unmanned Aerial Vehicles. UNIDIR, December 2017. http://dx.doi.org/10.37559/caap/17/wam/04.

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Armed unmanned aerial vehicles (UAVs)—often referred to as drones—have become a prominent and sometimes controversial means of delivering lethal force in the 21st century. Yet the international community is some way from reaching consensus on how established international principles are to be interpreted and applied to the use of armed UAVs. This situation is unsatisfactory for promoting civilian protection in conflict, the maintenance of peace and security, or the rule of law. Moreover, UAVs have unique characteristics that make them particularly susceptible to misuse in comparison to other technologies, at the same time as their capabilities are growing rapidly. Taken together, these factors add up to a pressing need for further development of international understandings related to transparency, oversight and accountability in the context of UAV spread and use. Building on a prior United Nations publication in 2015, this UNIDIR study assesses the current situation and suggests ways to strengthen shared understandings of transparency, oversight and accountability to address challenges raised by armed UAVs.
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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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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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Desa, Hazry, Muhammad Azizi Azizan, Nur Zakirah Rabiha Md. Rejab, and Mohd Shafiq Ismail. CONSERVATION WORKS ON HERITAGE BUILDING: GENERATING AS BUILT DRAWING BY UAV APPLICATION AND 3D LASER SCANNER FOR FACILITIES MAINTENANCE. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.002.

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This technical report presents the outcomes of a research project entitled "Conservation Works on Heritage Building: Generating As Built Drawing by UAV Application and 3D Laser Scanner for Facilities Maintenance". The project was initiated and funded by IP Fokus Sdn. Bhd. and was conducted by the Centre of Excellence for Unmanned Aerial Systems (COE-UAS), UniMAP. The aim of this project was to explore the use of unmanned aerial vehicles (UAVs) and 3D laser scanners in generating as-built drawings for the maintenance of heritage buildings. The project sought to address the challenge of accurately documenting and maintaining heritage buildings, which are often complex structures with intricate designs and historical significance. The research project commenced on 1st February 2018 and was initially scheduled to end on 31st August 2019. However, due to unforeseen circumstances, the project was extended to 15th October 2019. Throughout the duration of the project, the research team worked diligently to achieve the objectives of the project. This technical report provides a comprehensive overview of the project, including the background and rationale, methodology, data collection, and analysis, and the key findings and recommendations. It also includes a detailed description of the UAV and 3D laser scanning technologies used in the project, as well as the software used for data processing and analysis.
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