Relevant bibliographies by topics / Unmanned Aerial Systems

Contents

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

Academic literature on the topic 'Unmanned Aerial Systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 24 January 2023

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Journal articles on the topic "Unmanned Aerial Systems"

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

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D., Mototolea. "Counter-Unmanned Aerial Systems." Scientific Bulletin of Naval Academy XXII, no. 1 (July 15, 2019): 192–95. http://dx.doi.org/10.21279/1454-864x-19-i1-026.

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Counter-unmanned aerial systems (C-UAS), or counter-drone technology, refers to complex systems that are used to detect, locate, track and take over/down unmanned aerial vehicles. The proliferation of C-UAS technology accelerates due to the increasing number of incidents with commercially available drones that happen almost daily around the globe. This paper provides a background on how the technology works, when is applicable and what are the ups and downs.
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Spencer, Darren. "Industry Analysis: Unmanned Aerial Systems." Muma Business Review 2 (2018): 083–104. http://dx.doi.org/10.28945/4144.

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According to Michael Kratsios, Deputy US Technology Officer, and Executive Assistant of President, UASs will contribute to 100,000 new jobs and provide nearly $80 Billion in economic impact in the United States over the next decade, but "errant use poses unique safety and technological challenges" (Kratsios, 2018). It is these two opposing potential results that pit the advocates for fully integrating UASs into the National Airspace System against those that warn for caution and separation. The profit potential of being the market leader in a new industry clashes with an already established manned system that is recovering from years of losses following September 11, 2002, and regulatory agencies whose mission is the safe and efficient utilization of airspace, particularly of existing manned aviation, clashes with users who want unrestricted and free access at any time and may not necessarily understand the regulatory environment of the complex airspace system they want to occupy. UAS sales are growing irrespective of this, with sales doubling annually from 2013 to 2017, reaching an estimated 2.4 million units sold in the US in 2017 (Scott, 2017) (Meola, The Rise of the Drone Industry, 2017).
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Bassi, Eleonora. "Urban Unmanned Aerial Systems Operations." Law in Context. A Socio-legal Journal 36, no. 2 (May 20, 2020): 1–12. http://dx.doi.org/10.26826/law-in-context.v36i2.114.

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The drone sector offers a wide range of affordances, opportunities, and economic benefits for society. Delivery services, agriculture monitoring, wildfire control, public infrastructure inspections, humanitarian aid, or drone journalism, are among the activities enhanced by unmanned aerial systems (UAS). No surprise the civilian UAS market is growing fast throughout the world. Yet, on a daily basis, newspapers report serious concerns for people infringing other people’s rights through the use of drones. Cybersecurity attacks, data theft, criminal offences brought about the use of this technology frame the picture. Nowadays, several countries are changing their legal rules to properly address such challenges. In 2018, the European Union (EU) started its five year-long regulative process that should establish the common rules and standards for UAS operations within the EU Single Sky by 2023. A similar timeline has been adopted in the United States, so as to provide the jurisdictional boundaries for the civilian use of drones. The United Kingdom (UK) and Japan are adopting new rules too. From a legal point of view, the overall framework is thus rapidly evolving. The aim of this paper is to give attention to (i) privacy and data protection concerns raised by UAS operations; (ii) their monitoring functions and corresponding surveillance issues; and, (iii) how a privacy preserving approach – such as with privacy by design technologies, organizational measures, audit procedures, civic involvement, to name a few – makes a lawful and ethical use of this powerful technology possible.
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Oktay, Tugrul, Harun Celik, and Ilke Turkmen. "Maximizing autonomous performance of fixed-wing unmanned aerial vehicle to reduce motion blur in taken images." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 7 (March 28, 2018): 857–68. http://dx.doi.org/10.1177/0959651818765027.

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In this study, reducing motion blur in images taken by our unmanned aerial vehicle is investigated. Since shakes of unmanned aerial vehicle cause motion blur in taken images, autonomous performance of our unmanned aerial vehicle is maximized to prevent it from shakes. In order to maximize autonomous performance of unmanned aerial vehicle (i.e. to reduce motion blur), initially, camera mounted unmanned aerial vehicle dynamics are obtained. Then, optimum location of unmanned aerial vehicle camera is estimated by considering unmanned aerial vehicle dynamics and autopilot parameters. After improving unmanned aerial vehicle by optimum camera location, dynamics and controller parameters, it is called as improved autonomous controlled unmanned aerial vehicle. Also, unmanned aerial vehicle with camera fixed at the closest point to center of gravity is called as standard autonomous controlled unmanned aerial vehicle. Both improved autonomous controlled and standard autonomous controlled unmanned aerial vehicles are performed in real time flights, and approximately same trajectories are tracked. In order to compare performance of improved autonomous controlled and standard autonomous controlled unmanned aerial vehicles in reducing motion blur, a motion blur kernel model which is derived using recorded roll, pitch and yaw angles of unmanned aerial vehicle is improved. Finally, taken images are simulated to examine effect of unmanned aerial vehicle shakes. In comparison with standard autonomous controlled flight, important improvements on reducing motion blur are demonstrated by improved autonomous controlled unmanned aerial vehicle.
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Chahl, Javaan. "Unmanned Aerial Systems Platform Research Prognosis." Applied Mechanics and Materials 225 (November 2012): 555–60. http://dx.doi.org/10.4028/www.scientific.net/amm.225.555.

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Much of aerospace academia is anticipating a boom in Unmanned Aerial Vehicle (UAV) funding and research opportunities. The expectation is built on the premise that UAVs will revolutionize aerospace, which is likely based on current trends. There is also an anticipation of an increasing number of new platforms and research investment, which is likely but must be analyzed carefully to determine where the opportunities might lie. This paper draws on the state of industry and a systems engineering approach. We explore what aspects of UAVs really are the results of aerospace science advances and what aspects will be rather more mundane works of engineering.
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Matyukha, S. "UNMANNED AERIAL SYSTEMS IN CARGO TRANSPORTATION." Transport Business of Russia, no. 1 (2022): 141–43. http://dx.doi.org/10.52375/20728689_2022_1_141.

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Alekseev, V. M., and O. V. Koroliova. "Parachute systems for unmanned aerial vehicles." Military Technical Collection, no. 12 (May 4, 2015): 3–6. http://dx.doi.org/10.33577/2312-4458.12.2015.3-6.

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Chahl, Javaan. "Unmanned Aerial Systems (UAS) Research Opportunities." Aerospace 2, no. 2 (April 27, 2015): 189–202. http://dx.doi.org/10.3390/aerospace2020189.

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Tudevdagva, Uranchimeg. "Unmanned Aerial Systems and Its Application." Embedded Selforganising Systems 5, no. 1 (January 23, 2018): 3–5. http://dx.doi.org/10.14464/ess51207.

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This editorial introduces the first issue of 2018 for Embedded Self-organizing Systems (ESS) journal. A focus of this issue is a discussion about unmanned aerial systems (UAS) and its application in different areas of science and engineering solutions.
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Dissertations / Theses on the topic "Unmanned Aerial Systems"

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Dydek, Zachary Thompson. "Adaptive control of Unmanned Aerial Systems." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62324.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 133-139).
Adaptive control is considered to be one of the key enabling technologies for future high-performance, safety-critical systems such as air-breathing hypersonic vehicles. Adaptive flight control systems offer improved performance and increased robustness to uncertainties by virtue of their ability to adjust control parameters as a function of online measurements. Extensive research in the field of adaptive control theory has enabled the design, analysis, and synthesis of stable adaptive systems. We are now entering the stage in which adaptive flight control systems have reached the requisite level of maturity for application to hardware flight platforms. Unmanned aerial systems (UAS) provide a unique opportunity for the transition of adaptive controllers from theory to practice. The small, unmanned aerial vehicles (UAVs) examined in this thesis offer a low-cost, low-risk stepping stone between simulation and application to higher-risk systems in which safety is a critical concern. Unmanned aircraft also offer several benefits over their manned counterparts including extreme persistence, maneuverability, lower weight and smaller size. Furthermore, several missions such as surveillance, exploration, search-and-track, and lifting of heavy loads are best accomplished by a UAS consisting of multiple UAVs. This thesis addresses some of the challenges involved with the application of adaptive flight control systems to UAS. Novel adaptive control architectures are developed to overcome performance limitations of UAS, the most significant of which is a large time delay due to communication and limited onboard processing. Analytical tools that allow the calculation of a theoretically justified time delay limit are also developed. These tools in turn lead to an estimate of the time-delay margin of the closed-loop system which is an essential part of the validation and verification methodology for intelligent flight control systems. These approaches are validated numerically using a series of simulation studies. These controllers and analytical methods are then applied to the UAV, demonstrating improved performance and increased robustness to time delays. Also introduced in this thesis is a novel adaptive methodology for coordinated adaptive control of a multi-vehicle UAS. Including two distinct classes of adaptive algorithms at both the local and global levels was found to result, both in simulation and in actual flight 3 tests, in decreased tracking error for individual vehicles, decreased errors in intervehicle distances, and reduced likelihood of collisions with other vehicles or obstacles in the environment.
by Zachary Thompson Dydek.
Ph.D.
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Hibbs, Jeremy, Travis Kibler, Jesse Odle, Rachel Powers, Thomas Schucker, and Alex Warren. "Autonomous Mapping Using Unmanned Aerial Systems." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596464.

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Brown, Bryan. "Unmanned Aerial Systems for Emergency Response." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460729457.

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Forsmo, Erik Johannes. "Optimal Path Planning for Unmanned Aerial Systems." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18441.

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This thesis is a contribution to the Unmanned Aerial Vehicle (UAV) project at the Department of Engineering Cybernetics, which is a project where contributions from master students and Phd students will result in an autonomous aerial vehicle. The unmanned vehicle laboratory has its own UAV, the Odin Recce D6 delta-wing aircraft which is to be considered in the overall project. When the UAV is in the air on a mission, one important thing is to ensure that the UAV detects obstacles, such as mountains, buildings and other aircrafts. No-fly areas should be avoided by the path planner. This thesis considers a guidance system that will set up a path from the initial position to the final destination, and make sure that the generated trajectory is safe.One problem with the design of the optimal path has been that the designed path gives textit{corner cutting} when obstacles from the environment is included in the path-planner. To avoid this problem, which happens because discrete time is considered, two different solutions to avoid this problem have been discussed closer. Implementation of constraints and different cost functions for path planning with collision avoidance using the Mixed Integer Linear Programming (MILP) is one of the purposes of this thesis. The MILP algorithm is developed for the case of planar motion where the UAV has to fly around the obstacle, and can't fly over or under it. The design of the path path planner using MILP is done in two different ways. One where obstacles are known at the beginning of the optimization, and one where obstacles are added as information to the path planner when they are in the range of the UAVs radar. It is shown that the implementation with obstacle radar detection is more realistic, and that it also improves the computation time. As the author knows this method has not been published in articles up to this date. Two different approaches for search of a defined area with an arbitrary number of UAVs with camera systems have been developed and implemented through this thesis. As far as the author of this thesis knows these approaches for search have not been published up to this date. Efficient search and low computational complexity has been important design factors during the development of these approaches.The final systems are simulated in MATLAB for some test-scenarios. Also, reflection and discussion on further improvement on the path planning system are included in the report. This includes further improvement of the guidance system using receding horizon strategies.A literature study on path planning with receding horizon has been done.
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Melega, Marco. "Autonomous Collision avoidance for Unmanned aerial systems." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9251.

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Unmanned Aerial System (UAS) applications are growing day by day and this will lead Unmanned Aerial Vehicle (UAV) in the close future to share the same airspace of manned aircraft.This implies the need for UAS to define precise safety standards compatible with operations standards for manned aviation. Among these standards the need for a Sense And Avoid (S&A) system to support and, when necessary, sub¬stitute the pilot in the detection and avoidance of hazardous situations (e.g. midair collision, controlled flight into terrain, flight path obstacles, and clouds). This thesis presents the work come out in the development of a S&A system taking into account collision risks scenarios with multiple moving and fixed threats. The conflict prediction is based on a straight projection of the threats state in the future. The approximations introduced by this approach have the advantage of high update frequency (1 Hz) of the estimated conflict geometry. This solution allows the algorithm to capture the trajectory changes of the threat or ownship. The resolution manoeuvre evaluation is based on a optimisation approach considering step command applied to the heading and altitude autopilots. The optimisation problem takes into account the UAV performances and aims to keep a predefined minimum separation distance between UAV and threats during the resolution manouvre. The Human-Machine Interface (HMI) of this algorithm is then embedded in a partial Ground Control Station (GCS) mock-up with some original concepts for the indication of the flight condition parameters and the indication of the resolution manoeuvre constraints. Simulations of the S&A algorithm in different critical scenarios are moreover in-cluded to show the algorithm capabilities. Finally, methodology and results of the tests and interviews with pilots regarding the proposed GCS partial layout are covered.
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Patchett, Charles H. "On the derivation and analysis of decision architectures for uninhabited air systems." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/8033.

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Operation of Unmanned Air Vehicles (UAVs) has increased significantly over the past few years. However, routine operation in non-segregated airspace remains a challenge, primarily due to nature of the environment and restrictions and challenges that accompany this. Currently, tight human control is envisaged as a means to achieve the oft quoted requirements of transparency , equivalence and safety. However, the problems of high cost of human operation, potential communication losses and operator remoteness remain as obstacles. One means of overcoming these obstacles is to devolve authority, from the ground controller to an on-board system able to understand its situation and make appropriate decisions when authorised. Such an on-board system is known as an Autonomous System. The nature of the autonomous system, how it should be designed, when and how authority should be transferred and in what context can they be allowed to control the vehicle are the general motivation for this study. To do this, the system must overcome the negative aspects of differentiators that exist between UASs and manned aircraft and introduce methods to achieve required increases in the levels of versatility, cost, safety and performance. The general thesis of this work is that the role and responsibility of an airborne autonomous system are sufficiently different from those of other conventionally controlled manned and unmanned systems to require a different architectural approach. Such a different architecture will also have additional requirements placed upon it in order to demonstrate acceptable levels of Transparency, Equivalence and Safety. The architecture for the system is developed from an analysis of the basic requirements and adapted from a consideration of other, suitable candidates for effective control of the vehicle under devolved authority. The best practices for airborne systems in general are identified and amalgamated with established principles and approaches of robotics and intelligent agents. From this, a decision architecture, capable of interacting with external human agencies such as the UAS Commander and Air Traffic Controllers, is proposed in detail. This architecture has been implemented and a number of further lessons can be drawn from this. In order to understand in detail the system safety requirements, an analysis of manned and unmanned aircraft accidents is made. Particular interest is given to the type of control moding of current unmanned aircraft in order to make a comparison, and prediction, with accidents likely to be caused by autonomously controlled vehicles. The effect of pilot remoteness on the accident rate is studied and a new classification of this remoteness is identified as a major contributor to accidents A preliminary Bayesian model for unmanned aircraft accidents is developed and results and predictions are made as an output of this model. From the accident analysis and modelling, strategies to improve UAS safety are identified. Detailed implementations within these strategies are analysed and a proposal for more advanced Human-Machine Interaction made. In particular, detailed analysis is given on exemplar scenarios that a UAS may encounter. These are: Sense and Avoid , Mission Management Failure, Take Off/Landing, and Lost Link procedures and Communications Failure. These analyses identify the nature of autonomous, as opposed to automatic, operation and clearly show the benefits to safety of autonomous air vehicle operation, with an identifiable decision architecture, and its relationship with the human controller. From the strategies and detailed analysis of the exemplar scenarios, proposals are made for the improvement of unmanned vehicle safety The incorporation of these proposals into the suggested decision architecture are accompanied by analysis of the levels of benefit that may be expected. These suggest that a level approaching that of conventional manned aircraft is achievable using currently available technologies but with substantial architectural design methodologies than currently fielded.
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Cork, Lennon R. "Aircraft dynamic navigation for unmanned aerial vehicles." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71396/1/Lennon_Cork_Thesis.pdf.

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This thesis describes the investigation of an Aircraft Dynamic Navigation (ADN) approach, which incorporates an Aircraft Dynamic Model (ADM) directly into the navigation filter of a fixed-wing aircraft or UAV. The result is a novel approach that offers both performance improvements and increased reliability during short-term GPS outages. This is important in allowing future UAVs to achieve routine, unconstrained, and safe operations in commercial environments. The primary contribution of this research is the formulation Unscented Kalman Filter (UKF) which incorporates a complex, non-linear, laterally and longitudinally coupled, ADM, and sensor suite consisting of a Global Positioning System (GPS) receiver, Inertial Measurement Unit (IMU), Electronic Compass (EC), and Air Data (AD) Pitot Static System.
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Denevan, Thomas J. "Cost-based analysis of unmanned aerial vehicles/unmanned aerial systems in filling the role of logistical support." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/44549.

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This thesis conducts a comparative cost analysis for using unmanned aerial vehicles (UAVs)/unmanned aerial systems (UASs) for logistical resupply purposes as opposed to the traditional logistical resupply resources. First, the thesis examines the types of UAVs in the U.S. Department of Defense (DOD) inventory as well as the traditional aircraft currently used for logistical purposes. Then, using a cost-based analysis, the thesis identifies possible logistical uses for selected UAVs based on specific capabilities and scenarios where the use of these systems would be most advantageous compared to traditional logistic resources. As the DOD continues to develop the emerging technologies of UAVs, the findings of this thesis may point to some immediate adaptations in the logistical resupply process that could result in cost savings.
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McAree, Owen. "Autonomous terminal area operations for unmanned aerial systems." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12535.

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After many years of successful operation in military domains, Unmanned Aerial Systems (UASs) are generating significant interest amongst civilian operators in sectors such as law enforcement, search and rescue, aerial photography and mapping. To maximise the benefits brought by UASs to sectors such as these, a high level of autonomy is desirable to reduce the need for highly skilled operators. Highly autonomous UASs require a high level of situation awareness in order to make appropriate decisions. This is of particular importance to civilian UASs where transparency and equivalence of operation to current manned aircraft is a requirement, particularly in the terminal area immediately surrounding an airfield. This thesis presents an artificial situation awareness system for an autonomous UAS capable of comprehending both the current continuous and discrete states of traffic vehicles. This estimate forms the basis of the projection element of situation awareness, predicting the future states of traffic. Projection is subject to a large degree of uncertainty in both continuous state variables and in the execution of intent information by the pilot. Both of these sources of uncertainty are captured to fully quantify the future positions of traffic. Based upon the projection of future traffic positions a self separation system is designed which allows an UAS to quantify its separation to traffic vehicles up to some future time and manoeuvre appropriately to minimise the potential for conflict. A high fidelity simulation environment has been developed to test the performance of the artificial situation awareness and self separation system. The system has demonstrated good performance under all situations, with an equivalent level of safety to that of a human pilot.
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Leccadito, Matthew. "A Hierarchical Architectural Framework for Securing Unmanned Aerial Systems." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/5037.

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Unmanned Aerial Systems (UAS) are becoming more widely used in the new era of evolving technology; increasing performance while decreasing size, weight, and cost. A UAS equipped with a Flight Control System (FCS) that can be used to fly semi- or fully-autonomous is a prime example of a Cyber Physical and Safety Critical system. Current Cyber-Physical defenses against malicious attacks are structured around security standards for best practices involving the development of protocols and the digital software implementation. Thus far, few attempts have been made to embed security into the architecture of the system considering security as a holistic problem. Therefore, a Hierarchical, Embedded, Cyber Attack Detection (HECAD) framework is developed to provide security in a holistic manor, providing resiliency against cyber-attacks as well as introducing strategies for mitigating and dealing with component failures. Traversing the hardware/software barrier, HECAD provides detection of malicious faults at the hardware and software level; verified through the development of an FPGA implementation and tested using a UAS FCS.
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Books on the topic "Unmanned Aerial Systems"

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Završnik, Aleš, ed. Drones and Unmanned Aerial Systems. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23760-2.

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Guidance of unmanned aerial vehicles. Boca Raton: Taylor & Francis, 2011.

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1954-, Lozano R., ed. Unmanned aerial vehicles: Embedded control. London: ISTE, 2010.

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Zhang, Zhao, Hu Liu, Ce Yang, Yiannis Ampatzidis, Jianfeng Zhou, and Yu Jiang, eds. Unmanned Aerial Systems in Precision Agriculture. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2027-1.

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Lozano, R. Unmanned aerial vehicles: Embedded control. London: ISTE, 2010.

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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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N, Léchevin, ed. Safety and reliability in cooperating unmanned aerial systems. Singapore: World Scientific, 2009.

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Turkan, Yelda, Yiye Xu, and Kevin Han. Use of Unmanned Aerial Systems for Highway Construction. Washington, D.C.: Transportation Research Board, 2022. http://dx.doi.org/10.17226/26546.

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White, Brian, 1947 June 6- and Shanmugavel Madhavan, eds. Cooperative path planning of unmanned aerial vehicles. Chichester, West Sussex, U.K: Wiley, 2011.

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

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Book chapters on the topic "Unmanned Aerial Systems"

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Rigatos, Gerasimos, and Krishna Busawon. "Unmanned Aerial Vehicles." In Studies in Systems, Decision and Control, 469–99. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77851-8_9.

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

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

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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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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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AL-Ghafri, Fat’hi Salim Said, and Lavanya Vidhya. "Unmanned Aerial Vehicles (UAV) Jammer." In Lecture Notes in Networks and Systems, 439–53. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5529-6_35.

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de Sousa, J. B., Philip McGuillivary, João Vicente, Maria Nunes Bento, José A. P. Morgado, Maria Madruga Matos, Ricardo Ayres Gomes Bencatel, and Paulo Mónica de Oliveira. "Unmanned Aircraft Systems for Maritime Operations." In Handbook of Unmanned Aerial Vehicles, 2787–811. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_75.

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Brown, Timothy X., Mark McHenry, and Suppapol Jaroonvanichkul. "Cognitive Radio Architectures for Unmanned Aircraft Systems." In Handbook of Unmanned Aerial Vehicles, 813–44. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_31.

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Clothier, Reece A., and Rodney A. Walker. "Safety Risk Management of Unmanned Aircraft Systems." In Handbook of Unmanned Aerial Vehicles, 2229–75. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_39.

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Završnik, Aleš. "Introduction: Situating Drones in Surveillance Societies." In Drones and Unmanned Aerial Systems, 1–18. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_1.

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Conference papers on the topic "Unmanned Aerial Systems"

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Smith, Curt. "Unmanned Aerial Systems." In SPE Digital Energy Conference and Exhibition. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/173437-ms.

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Goldberg, Benjamin. "Unmanned aerial systems." In the 2010 Spring Simulation Multiconference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1878537.1878776.

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Onyett, Samuel. "Kite Aerial Photography and Unmanned Aerial Systems." In 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC). IEEE, 2022. http://dx.doi.org/10.1109/dasc55683.2022.9925791.

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Višnai, Kristián, and Branislav Kandera. "Anti-collision systems of unmanned aerial vehicles." In Práce a štúdie. University of Žilina, 2021. http://dx.doi.org/10.26552/pas.z.2021.1.31.

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The main goal of the paper is to summarize the knowledge about anti-collision systems of unmanned aerial vehicles. In the work are also described currenly used anti-collision systems of unmanned aerial vehicles. The work contains practical research in which we tested anti-collision systems of DJI Mavic 2 Pro. The purpose of the research was to find out how this unmanned aerial vehicle can avoid static obstacles. The second part of practical research is the analysis and comparison of systems that provide anti-collision actvity between unmanned aerial vehicle and aircraft in the vicinity. Part of the work is also the evaluation and selection of a cooperative anti-collision system for DJI Inspire 2. The conclusion of the papercontains a summary of the findings that we have obtained based on the analysis of available facts and using operational experience.
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De Wilde, Wim, Gert Cuypers, Jean-Marie Sleewaegen, Richard Deurloo, and Bruno Bougard. "GNSS Interference in Unmanned Aerial Systems." In 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016). Institute of Navigation, 2016. http://dx.doi.org/10.33012/2016.14674.

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Freeland, Robert, and Barry Allred. "UNMANNED AERIAL SYSTEMS FOR AGRICULTURAL GEOPHYSICS." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2014. http://dx.doi.org/10.4133/sageep.27-016.

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Freeland, Robert, and Barry Allred. "UNMANNED AERIAL SYSTEMS FOR AGRICULTURAL GEOPHYSICS." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2014. http://dx.doi.org/10.1190/sageep.27-016.

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Powell, Keith, Aly Sabri Abdalla, Daniel Brennan, Vuk Marojevic, R. Michael Barts, Ashwin Panicker, Ozgur Ozdemir, and Ismail Guvenc. "Software Radios for Unmanned Aerial Systems." In MobiSys '20: The 18th Annual International Conference on Mobile Systems, Applications, and Services. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3396865.3398692.

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Dunham, Joel, and Eric N. Johnson. "Unmanned Aerial Systems Health Monitoring Architecture." In 2019 IEEE Aerospace Conference. IEEE, 2019. http://dx.doi.org/10.1109/aero.2019.8741584.

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Cameron, Christopher G., Zach Fredin, and Neil Gershenfeld. "Discrete Assembly of Unmanned Aerial Systems." In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2022. http://dx.doi.org/10.1109/icuas54217.2022.9836082.

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Reports on the topic "Unmanned Aerial Systems"

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Barnhart, R. K. Unmanned Aerial Systems (UAS) Mission Planning. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada582460.

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Boutros, Daniel A. Operational Protection from Unmanned Aerial Systems. Fort Belvoir, VA: Defense Technical Information Center, May 2015. http://dx.doi.org/10.21236/ada621067.

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Mason, JaMein DeShon, Emmanuel Temiloluwa Ayorinde, David Dennis Mascarenas, and Fernando Moreu. Tap Testing Hammer using Unmanned Aerial Systems (UASs). Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1304746.

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Holland, K. T., D. Lalejini, and K. Plavnick. Littoral Battlespace Characterization Using Small Unmanned Aerial Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada525035.

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Mascarenas, David D., Aaron Curtis, James Elliott, Michael Ronquest, David T. Kendrick, and Rollin E. Lakis. MODCOPTER: Prompt, Precise Aerial Sample Collection Using Unmanned Systems. Office of Scientific and Technical Information (OSTI), May 2013. http://dx.doi.org/10.2172/1078376.

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Curtis, Aaron, James Elliott, Michael Ronquest, David D. Mascarenas, David T. Kendrick, and Rollin E. Lakis. Modcopter: Prompt, Precise Aerial Sample Collection Using Unmanned Systems. Office of Scientific and Technical Information (OSTI), June 2013. http://dx.doi.org/10.2172/1086761.

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Spence, Tyler, Francesca Favaro, and Kally Yeung. Local Government Policy and Planning for Unmanned Aerial Systems. Mineta Transportation Institution, April 2020. http://dx.doi.org/10.31979/mti.2020.1823.

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Shepherd, Andrew. Keynote Presentation: The Emerging Unmanned Aerial Systems (UAS) Industry. Ames (Iowa): Iowa State University. Library. Digital Press, January 2015. http://dx.doi.org/10.31274/ahac.9769.

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Brechtel, Fredrick J. Compact Nanoparticle Size Distribution Measurement System for Unmanned Aerial Systems (UAS). Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1371927.

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Pauls, Joel E. The Impact of Unmanned Aerial Systems on Joint Operational Art. Fort Belvoir, VA: Defense Technical Information Center, May 2012. http://dx.doi.org/10.21236/ada606087.

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