Academic literature on the topic 'Drone'
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Journal articles on the topic "Drone"
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Zaitseva, Elena, Vitaly Levashenko, Ravil Mukhamediev, Nicolae Brinzei, Andriy Kovalenko, and Adilkhan Symagulov. "Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis." Mathematics 11, no. 11 (June 1, 2023): 2551. http://dx.doi.org/10.3390/math11112551.
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Drones, or UAVs, are developed very intensively. There are many effective applications of drones for problems of monitoring, searching, detection, communication, delivery, and transportation of cargo in various sectors of the economy. The reliability of drones in the resolution of these problems should play a principal role. Therefore, studies encompassing reliability analysis of drones and swarms (fleets) of drones are important. As shown in this paper, the analysis of drone reliability and its components is considered in studies often. Reliability analysis of drone swarms is investigated less often, despite the fact that many applications cannot be performed by a single drone and require the involvement of several drones. In this paper, a systematic review of the reliability analysis of drone swarms is proposed. Based on this review, a new method for the analysis and quantification of the topological aspects of drone swarms is considered. In particular, this method allows for the computing of swarm availability and importance measures. Importance measures in reliability analysis are used for system maintenance and to indicate the components (drones) whose fault has the most impact on the system failure. Structural and Birnbaum importance measures are introduced for drone swarms’ components. These indices are defined for the following topologies: a homogenous irredundant drone fleet, a homogenous hot stable redundant drone fleet, a heterogeneous irredundant drone fleet, and a heterogeneous hot stable redundant drone fleet.
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Lebediev, O., O. Bondar, E. Samoilenko, and V. Cherevko. "АНАЛІЗ ІСНУЮЧИХ ПІДХОДІВ ДО РОЗРАХУНКУ КІЛЬКІСНОЇ ОЦІНКИ ЖИВУЧОСТІ DRONES." Системи управління, навігації та зв’язку. Збірник наукових праць 1, no. 75 (February 9, 2024): 118–21. http://dx.doi.org/10.26906/sunz.2024.1.118.
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На сьогоднішній день живучість відображає стійкість до диструктивних впливів як окремих підсистем drone, так і drone загалом. Така живучість закладена в алгоритмічну частину підсистем drone і дозволяє у разі виникнення нештатних ситуацій змінювати послідовність роботи підсистем drone. При вирішенні задачі аналізу та синтезу елементів підсистем drone, оперують кількісною оцінкою живучості. Це необхідно для визначення, з якою ймовірністю відмови окремих елементів будь-якої підсистеми drone призведуть до пошкодження drone. В даний час серед розробників drones не існує єдиної думки для визначення кількісної оцінки живучості drones. Дуже багато залежить від архітектури підсистем drone, їх взаємодії між собою та взаємодії їх елементів між собою. Ця стаття присвячена дослідженню підходів до розрахунку кількісної оцінки живучості drones на етапі проектування.
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Huang, Chenn-Jung, Kai-Wen Hu, Hao-Wen Cheng, and Yi-Sin Sie Lin. "A Mission-Oriented Flight Path and Charging Mechanism for Internet of Drones." Sensors 23, no. 9 (April 25, 2023): 4269. http://dx.doi.org/10.3390/s23094269.
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In addition to traditional battery exchange services and stationary charging stations, researchers have proposed wireless charging technology, such as decentralized laser charging or drone-to-drone charging in flight, to provide power to drones with insufficient battery electricity. However, the charging methods presented in the literature will inevitably cause drones to wait in line for charging during peak hours and disrupt their scheduled trips when the number of drones grows rapidly in the future. To the best of our knowledge, there have been no integrated solutions for drone flight path and charging planning to alleviate charging congestion, taking into account the different mission characteristics of drones and the charging cost considerations of drone operators. Accordingly, this paper provides adaptive charging options to help drone operators to solve the above-mentioned problems. Drones on ordinary missions can use conventional battery swap services, wired charging stations, or electromagnetic wireless charging stations to recharge their batteries as usual, whereas drones on time-critical missions can choose drone-to-drone wireless charging or decentralized laser charging deployed along the fight paths to charge the batteries of drones in flight. Notably, since fixed-wing drones have larger wing areas to install solar panels, they can also use solar energy to charge during flight if the weather is clear. The simulation results exhibited that the proposed work reduced the power load of the power grid during peak hours, met the charging needs of each individual drone during flight, and cut down the charging costs of drone operators. As a result, an all-win situation for drone operators, drone customers, and power grid operators was achieved.
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Yoedtadi, Moehammad Gafar. "PENGGUNAAN DRONE PADA PELIPUTAN BERITA TELEVISI (Perspektif Wartawan Televisi Terhadap Etika Peliputan Menggunakan Drone)." Jurnal Muara Ilmu Sosial, Humaniora, dan Seni 3, no. 1 (October 4, 2019): 54. http://dx.doi.org/10.24912/jmishumsen.v3i1.3531.
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Saat ini pesawat drone telah menjadi perlengkapan wajib dalam peliputan berita. Pesawat drone memberikan kemudahan dan penghematan bagi media pemberitaan untuk mengambil gambar dengan sudut pengambilan dari angkasa. Dengan drone media massa, terutama televisi dapat memperkaya visual dalam beritanya. Namun dengan segala kelebihannya, penggunaan pesawat drone tetap harus mempertimbangkan etika jurnalistik. Antara lain persoalan privasi dan izin peliputan. Penelitian ini hendak menggali perspektif wartawan terhadap etika jurnalistik ketika melakukan peliputan dengan memanfaatkan pesawat drone. Penelitian ini menggunakan perspektif kualitatif dengan metode fenomenologi. Penelitian ini melibatkan empat orang wartawan drone (drone journalist) dari dua stasiun televisi. Wartawan yang dapat mengemudikan drone belum banyak. Masing-masing televisi hanya memiliki empat orang wartawan. Dari empat wartawan drone, peneliti mengambil partisipan dua orang wartawan drone yang telah bersertifikat dan berpengalaman pada masing-masing televisi. Hasil penelitian menunjukkan bahwa tidak semua wartawan drone memahami dengan benar etika peliputan menggunakan drone. Tututan tugas untuk mendapatkan gambar yang bagus menyebabkan para wartawan drone terkadang mengabaikan etika peliputan drone. Currently, drones have become a mandatory equipment in news coverage. Drones provide convenience and cost savings for the media to take bird eye pictures. With drones, mass media, especially television can enrich the visual aspect of their news. However, with all its advantages, the use of drones must still consider journalistic ethics such as privacy issues and permission to report among other things. This research is aimed to explore the perspective of journalists toward the journalism ethics on television news coverage using drone technology. This research used qualitative approach with phenomenology method. This research involved four drone journalists from two television stations. Not many reporters can control a drone, each television station has four journalists who can do so. From the four drone reporters, the researchers took two certified and experienced drone reporters from each television station as participants. The result shows that not all drone reporters are aware about the ethics of drone usage on news coverage. The demand to obtain good footage causes drone reporters to ignore journalism ethics on drone use.
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Qiao, Yu, Huijie Fan, Qiang Wang, Tinghui Zhao, and Yandong Tang. "STCA: High-Altitude Tracking via Single-Drone Tracking and Cross-Drone Association." Remote Sensing 16, no. 20 (October 17, 2024): 3861. http://dx.doi.org/10.3390/rs16203861.
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In this paper, we introduce a high-altitude multi-drone multi-target (HAMDMT) tracking method called STCA, which aims to collaboratively track similar targets that are easily confused. We approach this challenge by categorizing the HAMDMT tracking into two principal tasks: Single-Drone Tracking and Cross-Drone Association. Single-Drone Tracking employs positional and appearance data vectors to overcome the challenges arising from similar target appearances within the field of view of a single drone. The Cross-Drone Association employs image-matching technology (LightGlue) to ascertain the topological relationships between images captured by disparate drones, thereby accurately determining the associations between targets across multiple drones. In Cross-Drone Association, we enhanced LightGlue into a more efficacious method, designated T-LightGlue, for cross-drone target tracking. This approach markedly accelerates the tracking process while reducing indicator dropout. To narrow down the range of targets involved in the cross-drone association, we develop a Common View Area Model based on the four vertices of the image. Considering to mitigate the occlusion encountered by high-altitude drones, we design a Local-Matching Model that assigns the same ID to the mutually nearest pair of targets from different drones after mapping the centroids of the targets across drones. The MDMT dataset is the only one captured by a high-altitude drone and contains a substantial number of similar vehicles. In the MDMT dataset, the STCA achieves the highest MOTA in Single-Drone Tracking, with the IDF1 system achieving the second-highest performance and the MDA system achieving the highest performance in Cross-Drone Association.
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Al-Room, Khalifa, Farkhund Iqbal, Thar Baker, Babar Shah, Benjamin Yankson, Aine MacDermott, and Patrick C. K. Hung. "Drone Forensics." International Journal of Digital Crime and Forensics 13, no. 1 (January 2021): 1–25. http://dx.doi.org/10.4018/ijdcf.2021010101.
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Drones (a.k.a. unmanned aerial vehicles – UAV) have become a societal norm in our daily lives. The ability of drones capture high-quality photos from an aerial view and store and transmit such data presents a multi-facet problem. These actions possess privacy challenges to innocent users who can be spied on or drone owner's data which may be intercepted by a hacker. With all technological paradigms, utilities can be misused, and this is an increasing occurrence with drones. As a result, it is imperative to develop a novel methodological approach for the digital forensic analysis of a seized drone. This paper investigates six brands of drones commonly used in criminal activities and extracts forensically relevant data such as location information, captured images and videos, drones' flight paths, and data related to the ownership of the confiscated drone. The experimental results indicate that drone forensics would facilitate law enforcement in collecting significant information necessary for criminal investigations.
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Greene, Daniel. "Drone Vision." Surveillance & Society 13, no. 2 (July 2, 2015): 233–49. http://dx.doi.org/10.24908/ss.v13i2.5346.
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What does the drone want? What does the drone need? Such questions, posed explicitly and implicitly by anthropomorphized drones in contemporary popular culture, may seem like distractions from more pressing political and empirical projects addressing the Global War on Terror (GWOT). But the artifacts posing these questions offer a different way of viewing contemporary surveillance and violence that helps decouple the work of drones from justifications for drone warfare, and reveals the broader technological and political network of which drones are the most immediate manifestation. This article explores ‘drone vision’ a globally distributed apparatus for finding, researching, fixing and killing targets of the GWOT, and situates dramatizations of it within recent new materialist theoretical debates in surveillance and security studies. I model the tactic of ‘seeing like a drone’ in order to map the networks that support it. This tactic reveals a disconnect between the materials and discourses of drone vision, a disconnect I historicize within a new, imperial visual culture of war distinct from its modernist, disciplinary predecessor. I then explore two specific attempts to see like a drone: the drone art of London designer James Bridle and the Tumblr satire Texts from Drone. I conclude by returning to drone anthropomorphism as a technique for mapping the apparatus of drone vision, arguing that drone meme arises precisely in response to these new subjects of war, as a method to call their diverse, often hidden, materials to a public accounting.
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Lynskey, Jared, Kyi Thar, Thant Oo, and Choong Hong. "Facility Location Problem Approach for Distributed Drones." Symmetry 11, no. 1 (January 20, 2019): 118. http://dx.doi.org/10.3390/sym11010118.
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Currently, industry and academia are undergoing an evolution in developing the next generation of drone applications. Including the development of autonomous drones that can carry out tasks without the assistance of a human operator. In spite of this, there are still problems left unanswered related to the placement of drone take-off, landing and charging areas. Future policies by governments and aviation agencies are inevitably going to restrict the operational area where drones can take-off and land. Hence, there is a need to develop a system to manage landing and take-off areas for drones. Additionally, we proposed this approach due to the lack of justification for the initial location of drones in current research. Therefore, to provide a foundation for future research, we give a justified reason that allows predetermined location of drones with the use of drone ports. Furthermore, we propose an algorithm to optimally place these drone ports to minimize the average distance drones must travel based on a set of potential drone port locations and tasks generated in a given area. Our approach is derived from the Facility Location problem which produces an efficient near optimal solution to place drone ports that reduces the overall drone energy consumption. Secondly, we apply various traveling salesman algorithms to determine the shortest route the drone must travel to visit all the tasks.
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Dung, Nguyen Dinh. "Developing Models for Managing Drones in the Transportation System in Smart Cities." Electrical, Control and Communication Engineering 15, no. 2 (December 1, 2019): 71–78. http://dx.doi.org/10.2478/ecce-2019-0010.
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AbstractUnmanned aerial vehicles (UAVs), especially drones, have advantages of having applications in different areas, including agriculture, transportation, such as land use surveys and traffic surveillance, and weather research. Many network protocols are architected for the communication between multiple drones. The present study proposes drone-following models for managing drones in the transportation management system in smart cities. These models are based on the initial idea that drones flight towards a leading drone in the traffic flow. Such models are described by the relative distance and velocity functions. Two types of drone-following models are presented in the study. The first model is a safe distance model (SD model), in which a safe distance between a drone and its ahead is maintained. By applying the stochastic diffusion process, an improved model, called Markov model, is deduced. These drone-following models are simulated in a 2D environment using numerical simulation techniques. With the simulation results, it could be noted that: i) there is no accident and no unrealistic deceleration; ii) the velocity of the followed drone is changed according to the speed of the drone ahead; iii) the followed drones keep a safe distance to drone ahead even the velocities are changed; iv) the performance of the Markov model is better than that of the SD model.
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Ghazali, Mohamad Hazwan Mohd, Azwati Azmin, and Wan Rahiman. "Drone Implementation in Precision Agriculture – A Survey." International Journal of Emerging Technology and Advanced Engineering 12, no. 4 (April 2, 2022): 67–77. http://dx.doi.org/10.46338/ijetae0422_10.
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Abstract— Drones have been widely applied in the precision agriculture sector in the past few years. Incorporating artificial intelligence (AI), sensors, microcontrollers, and the Internet of Things (IoT) into the drones can help overcome the challenges faced by the farmers, such as livestock monitoring, wide land area, crop spraying, and in-depth crop health analysis. In this paper, several drone applications in precision agriculture are discussed, including the hardware and techniques involved. In addition, commercial agricultural drones available in the market to date are presented. The publications trend regarding drone application in precision agriculture is also included and based on reviewing more than 50 articles, a quadcopter-type drone is the most used drone in this sector, and seed planting is the least explored drone application area. Keywords—camera, crop monitoring, drone, mapping, spraying system
Dissertations / Theses on the topic "Drone"
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Rodrigues, Anna Carolina Natale. "Drones e drone art : poder militar, ética e resistência." Universidade Federal de Mato Grosso, 2015. http://ri.ufmt.br/handle/1/87.
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CAPES
Aeronaves Remotamente Pilotadas, mais conhecidas como Drones nos textos da imprensa, são aeronaves que funcionam como dispositivos de vigilância e defesa, utilizados pelos Estados Unidos desde a Guerra do Vietnã. Por muito tempo esta tecnologia esteve nas mãos dos israelenses, mas, nos últimos anos, os Estados Unidos tornaram-se o maior produtor desse tipo de aeronave. A utilização desta tecnologia começou a se tornar conhecida no último governo Bush após os ataques de 11 de setembro com a chamada ‘Guerra ao Terror’. Mais recentemente, o governo Obama intensificou o seu uso, com o aumento de investimentos militares, fabricação e circulação desses dispositivos. Por mais que o uso civil desta tecnologia esteja aumentando, o foco da pesquisa ainda em andamento é a utilização dela no contexto militar, principalmente estadunidense. Há quase dois mil conflitos armados ao redor do mundo desde o novo milênio e o número cresce a cada dia. A violência legítima, a criminalidade e o terrorismo tornam-se indistinguíveis um do outro. Em decorrência disso, os termos de validação tendem a entrar em colapso. Os chamados drones podem ser operados a milhares de quilômetros de distância e costumam ser utilizados sem a autorização do espaço aéreo dos governos invadidos. Vive-se em um momento de conflitos difusos de pequenos inimigos em todo lugar e a utilização das Aeronaves Remotamente Pilotadas confirma a ideia da presença de um inimigo constante, e quando a guerra está na base da política, o inimigo tem a função constitutiva de legitimar a vigilância e os ataques. Se o inimigo não é mais concreto, compreensível e localizável sua aura é hostil, facilitando a legitimação daquilo que é na realidade insustentável.
Remotely Piloted Aircrafts also known through the press as Drones, are surveillance and defense devices used by The United States of America since the Vietnam war. For a long time, this technology was in the hands of the Israeli armed forces, but in the last few years, The United States became the largest producer of this aircraft. The use of Drones became known in the last Bush administration, after the attacks of September 11, with the so-called "War on Terror". Moreover, more recently in the Obama administration with the increasing manufacture of such devices. Even though the use of this technology among civilians are increasing, the focus of this ongoing research is its use in military context, mostly American. According to Hardt and Negri (2012), nowadays there are almost two thousand armed conflicts around the world since the new millennium. These numbers keep growing, therefore, the legitimate violence, crime and terrorism became indistinguishable from one another, the terms of validation tend to collapse. The remotely piloted aircrafts can be operated thousands of miles away and often without the airspace permission of the invaded governments. We are in a time of small and intern conflicts with small enemies everywhere. Moreover, using this aircraft confirms the idea of this constant enemy, and when war is at the base of politics, the enemy has the primary function to legitimate surveillance and attacks. If the enemy is no longer concrete, understandable and traceable, then its aura is hostile, facilitating the legitimacy of that is in reality unsustainable.
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Sedlmajer, Kamil. "Uživatelské rozhraní pro řízení dronu s využitím rozšířené virtuality." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-399711.
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The thesis evaluates the current possibilities and problems of drone control and suggests possible solutions. The aim is to control drones more efficiently and easily. The final system is based on third person view and Augmented Virtuality technology where real data from the drone (video-stream, localization information) has been integrated into the virtual 3D model of the surroundings. The model of the surroundings has been created using free data. The application provides the pilot with the means to navigate in the surroundings and to navigate to destinations. It also offers the possibility to define areas with various potential security risks during mission planning, which will be used to navigate in the mission zones, and to visualize the overall situation in the virtual scene extended with online real data.
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Jackman, Anna Hamilton. "Unmanned geographies : drone visions and visions of the drone." Thesis, University of Exeter, 2016. http://hdl.handle.net/10871/26196.
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This thesis approaches the study of the (aerial) military and non-military drone through an examination of the communities that variously compel and propel it into action: that culturally constitute it. Employing the term ‘proponent communities’, this thesis approaches the drone through an empiric-led exploration of such actors, those including: manufacturers, industry, regulators, governments, militaries, trade associations and end users. These proponent communities are accessed through fieldwork at three central sites, namely military and non-military tradeshows, military conferences, and through the completion of numerous industry educational courses. Whilst by no means a homogenous group, such communities remain important in crafting, composing, (re)producing and circulating both technical and cultural knowledges of the drone. In approaching the drone’s cultural constitution, the thesis pursues two distinct analytic foci. First, in response to the tendency of extant scholarship to focus upon what the functioning drone does and its implications, thus treating it like a ‘black box’, the thesis ‘opens’ the drone through an exploration of particular proponent cultures through which it is instituted. Examining both the role of military drone operators and the employment of drones with multi-sensory payloads in emergency service settings, over two chapters the thesis explores the cultures through which the drone comes to function in framing that below it. Second, the thesis explores a series of mechanisms through which the drone is articulated, visualized and otherwise legitimated as a tool, asset, and commodity within military and non-military drone tradeshows. In approaching the drone at the tradeshow, the thesis expands extant analyses of the drone by considering its cultural constitution at such hitherto unexamined sites of consumption. In approaching the cultural constitution of the drone through these two strands of investigation the thesis offers three contributions. First, in working within a research context punctuated with access limitations, the thesis opens up different windows of access at which drone proponent communities gather, form, and (re)compose drone knowledges. Second, in approaching the drone at sites in which it is instituted and traded, the thesis engages with both proponent knowledges of employment, and articulations of expectation and potential therein. It demonstrates that such an engagement facilitates the challenging of several dominant and entrenched narratives surrounding the drone, variously revealing them as inadequate, fractured, or fantastical. Third, whilst the main contribution of this thesis is to geographies, and the wider interdisciplinary field, of drone scholarship, the thesis argues for, and demonstrates the value of, engaging with alternative geographical literatures in developing its argumentation. In situating the drone within such wider discussions and landscapes the thesis thus productively develops distinct frameworks through which to conceptually and empirically engage with the drone.
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Yellapantula, Sudha Ravali. "Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/91460.
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In the thesis, we aimed at building a robust UAV(drone) detection algorithm through which, one drone could detect another drone in flight. Though this was a straight forward object detection problem, the biggest challenge we faced for drone detection is the limited amount of drone images for training. To address this issue, we used Generative Adversarial Networks, CycleGAN to be precise, for the generation of realistic looking fake images which were indistinguishable from real data. CycleGAN is a classic example of Image to Image Translation technique, and we this applied in our situation where synthetic images from one domain were transformed into another domain, containing real data. The model, once trained, was capable of generating realistic looking images from synthetic data without the presence of real images. Following this, we employed a state of the art object detection model, YOLO(You Only Look Once), to build a Drone Detection model that was trained on the generated images. Finally, the performance of this model was compared against different datasets in order to evaluate its performance.Master of Science
In the recent years, technologies like Deep Learning and Machine Learning have seen many rapid developments. Among the many applications they have, object detection is one of the widely used application and well established problems. In our thesis, we deal with a scenario where we have a swarm of drones and our aim is for one drone to recognize another drone in its field of vision. As there was no drone image dataset readily available, we explored different ways of generating realistic data to address this issue. Finally, we proposed a solution to generate realistic images using Deep Learning techniques and trained an object detection model on it where we evaluated how well it has performed against other models.
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Maxe, Paulina, and Josefine Nyberg. "Fast drone deliveries." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177542.
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Det finns idag ett växande behov av mobilitet samt en fortsatt urbanisering i världen vilket leder till vissa utmaningar för framtidens logistik och transporter. Utmaningarna handlar om att möta det ökande behovet av att transportera människor och paket utan att bidra till mer trängsel på vägarna. Det finns ett visat intresse för Urban Air Mobility samt luftburna leveranser med drönare, och användandet av dessa tjänster skulle kunna vara en del av lösningen på de framtida problemen. För att detta skall vara möjligt behöver många olika aktörer involveras, men det behöver även finnas ett visat intresse samt en vilja till att ersätta vissa nuvarande leveranser med drönare. Examensarbetets syfte var därför att undersöka intresset för drönarleveranser i Östergötland med utgångspunkt från Norrköping Airport. Syftet inkluderade även en undersökning av hur drönarbaserade leveranser skulle kunna gynna olika organisationer. Detta för att utreda den framtida efterfrågan på drönarleveranser i regionen. Under examensarbetets gång har teori kring bland annat leveranser, drönare, luftrum, regler samt drönares kapacitet samlats in. De metoder som använts i examensarbetet är en litteraturstudie, intervjuer samt en fallstudie. Intresset för drönarleveranser har identifierats genom ett antal semistrukturerade intervjuer med tre olika industriföretag samt Region Östergötland. Möjligheten till att koppla samman drönartrafik med Norrköping Airport har även undersökts genom en intervju med flygplatsens VD. För att djupare svara till hur drönarbaserade leveranser skulle kunna gynna olika organisationer har en fallstudie bestående av två olika fall genomförts. Med hjälp av teori och tidigare forskning funnen genom litteraturstudien har det empiriska materialet analyserats. Utifrån intervjuerna kunde ett intresse identifieras, men med vissa tveksamheter kring drönares kapacitet och säkerhet. Det visade intresset handlade främst om drönares förmåga till snabba leveranser, men varierade i det avseendet att vissa organisationer var intresserade av inkommande gods och andra av utgående gods. Fallstudiens resultat visade att företagen, till viss del, kan gynnas genom tids- och ekonomiska besparingar av att byta ut vissa nuvarande leveranser mot drönarbaserade leveranser. De slutsatser som gjorts i examensarbetet är att drönare lämpar sig för leverans av små och lätta produkter förpackade i paket, att det finns ett visat intresse för drönarleveranser i Östergötland samt att organisationerna framför allt kan gynnas av drönarleveranser utifrån tidsaspekten genom att få eller leverera produkter snabbare än andra transportmedel.Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet
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Fall, Abdou Lahat. "Assistive Drone Technology: Using Drones to Enhance Building Access for the Physically Disabled." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522399761180306.
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Muzaffar, Raheeb. "Routing and video streaming in drone networks." Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/24713.
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Drones can be used for several civil applications including search and rescue, coverage, and aerial imaging. Newer applications like construction and delivery of goods are also emerging. Performing tasks as a team of drones is often beneficial but requires coordination through communication. In this thesis, the communication requirements of video streaming drone applications based on existing works are studied. The existing communication technologies are then analyzed to understand if the communication requirements posed by these drone applications can be met by the available technologies. The shortcomings of existing technologies with respect to drone applications are identified and potential requirements for future technologies are suggested. The existing communication and routing protocols including ad-hoc on-demand distance vector (AODV), location-aided routing (LAR), and greedy perimeter stateless routing (GPSR) protocols are studied to identify their limitations in context to the drone networks. An application scenario where a team of drones covers multiple areas of interest is considered, where the drones follow known trajectories and transmit continuous streams of sensed traffic (images or video) to a ground station. A route switching (RS) algorithm is proposed that utilizes both the location and the trajectory information of the drones to schedule and update routes to overcome route discovery and route error overhead. Simulation results show that the RS scheme outperforms LAR and AODV by achieving higher network performance in terms of throughput and delay. Video streaming drone applications such as search and rescue, surveillance, and disaster management, benefit from multicast wireless video streaming to transmit identical data to multiple users. Video multicast streaming using IEEE 802.11 poses challenges of reliability, performance, and fairness under tight delay bounds. Because of the mobility of the video sources and the high data-rate of the videos, the transmission rate should be adapted based on receivers' link conditions. Rate-adaptive video multicast streaming in IEEE 802.11 requires wireless link estimation as well as frequent feedback from multiple receivers. A contribution to this thesis is an application-layer rate-adaptive video multicast streaming framework using an 802.11 ad-hoc network that is applicable when both the sender and the receiver nodes are mobile. The receiver nodes of a multicast group are assigned with roles dynamically based on their link conditions. An application layer video multicast gateway (ALVM-GW) adapts the transmission rate and the video encoding rate based on the received feedback. Role switching between multiple receiver nodes (designated nodes) cater for mobility and rate adaptation addresses the challenges of performance and fairness. The reliability challenge is addressed through re-transmission of lost packets while delays under given bounds are achieved through video encoding rate adaptation. Emulation and experimental results show that the proposed approach outperforms legacy multicast in terms of packet loss and video quality.
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Santiago, Onofre Juliane Pamela, and Velarde Luis Felipe Gómez. "Proyecto empresarial Agro-drone." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2017. http://hdl.handle.net/10757/621811.
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Agro-Drone, surge a partir del interés que tienen los agricultores por ahorrar costos e incrementar su producción en el sector agrícola, con ello buscar una mejora en la calidad de vida. Sin embargo existen ideas que, gracias a la revolución de la tecnología y la promoción de organizaciones mundiales y nacionales en relación al uso de equipos modernos y especializados para el desarrollo de la actividad agrícola, es así que aprovechamos la tendencia de estos últimos tiempos: el boom de los drones.
Muchos agricultores vienen interesándose en nuevas formas de mejorar el proceso de producción agrícola a través de esta alternativa. Hay un nicho de mercado potencial el cual está siendo atendido, sin embargo, la mayor parte del servicio ofrecido existente, se enfoca en brindar sólo el alquiler del servicio de drones (generalmente trabajando con grandes productores) no cubriendo otras necesidades que puedan representar una amenaza para producción de los agricultores y la viabilidad del proyecto que se presenta aquí. Agro-Drone, ha decidido satisfacer la necesidad de todos nuestros agricultores, pero al conformarse como empresa, se compromete a trabajar bajo el enfoque de Responsabilidad Social Empresarial, ya que el servicio ofrecerá un valor agregado al brindar asesoramiento gratuito y permanente a agricultores a cargo de profesionales especializados.
Agro-Drone, estará conformado por un equipo multidisciplinario, lo que nos permitirá contar con un respaldo y confiabilidad ante nuestros clientes. Por eso que nuestra idea de negocio se incrementara con el tiempo, por el nicho de mercado que hemos encontrado a nivel nacional.Agro-Drone, arises from the interest of the farmers to save costs and increase production in agriculture, thereby seek improvement in quality of life. However, there are ideas that thanks to the technology revolution and promoting global and national regarding the use of modern and specialized farming equipment for the development of organizations, so we took advantage of the trend in recent times: the drone´s boom. Many farmers are interested in new ways to improve the process of agricultural production through this alternative. There is a niche market potential which is being treated, however,most of the service offered existing, focuses on providing only rental drones service(usually working with large producers) not covering other needs that may pose a threat for farmer´s production and viability of the project presented here. Agro-Drone, has decided to meet the need of all our farmers, you are committed to working under the approach of Corporate Social Responsibility, as the service will offer benefit by providing free and permanent advice to farmers in charge of specialized professionals. Agro-Drone, will consist of a multidisciplinary team, which will allow us to have a support and reliability to our customers. That is why our business idea will increase over time, because of the niche market that we have found at a national level.
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Norlin, Simon, and David Songmahadthai. "MULTI-DRONE CONTROL SYSTEM." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-42796.
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Planning and controlling traffic for multiple drones in a system without intercommunication betweenthe drones is a daunting proposition. This paper presents a thesis work developing a multi-dronecontrol system capable of planning and executing missions in a 3-D aerial space. Generic 2-D pathplanning algorithms are extended into the 3-D space to handle multiple parts of the path planning,creating highways through a gridded area which is used as obstacles for other drones.Three path planning algorithm are compared with other each other wavefront, Astar and po-tential fields, scheduling is also documented to find the optimal drone amount that the system canhandle given an area of interest, this is done to see how often and for how long drones stand idle.Simulations and equations have been implemented to verify and compare results.
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Chapa, Joseph. "The Virtuous Drone Pilot." Thesis, Boston College, 2014. http://hdl.handle.net/2345/bc-ir:104048.
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Thesis advisor: Kenneth HimesThis thesis responds to two distinct claims about drone (or remotely piloted aircraft) pilots. The first is the general claim that the martial virtues function as a kind of role morality for soldiers; the second, that drone pilots, based on the absence of personal risk and their distance from the battlefield, are unable to meet the demands of such a role morality. Chapter One explains what is meant by role morality, and determines whether the martial virtues do in fact function in a role morality capacity. The second chapter applies this general conception of a role morality for soldiers to military drone pilots in particular. This investigation finds that, insofar as "soldier" is in fact a role that generates a role morality, military drone pilots are as capable of meeting the demands of such a role morality as other military members. The second half of the thesis challenges the premise that drone pilots do not face personal risk. Chapter Three identifies psychological risk among drone pilots and seeks to determine how this kind of non-physical risk may affect the cultivation of the martial virtues. The fourth chapter argues that by placing military drone pilots within domestic territory, drone-capable militaries (such as the US military) have redrawn the battlespace such that it includes the drone operators, wherever they may be, and that as a result, drone pilots do in fact face some physical risk. Finally, in closing, this thesis presents a positive account of the martial virtues that enables military ethicists and strategists to bring centuries of philosophical investigation to bear on contemporary military issues
Thesis (MA) — Boston College, 2014
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Philosophy
Books on the topic "Drone"
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Bergen, Peter L., and Daniel Rothenberg, eds. Drone Wars. New York: Cambridge University Press, 2014. http://dx.doi.org/10.1017/cbo9781139198325.
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Cureton, Paul. Drone Futures. Abingdon, Oxon ; New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781351212991.
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Billitteri, Thomas J. Drone Warfare. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 2010. http://dx.doi.org/10.4135/cqresrre20100806.
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Wigren, Rickie. Drone Flying Techniques How Do Drones Work and What Is Drone Technology?: Definition of Drone Photography. Independently Published, 2021.
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Drones: The Professional Drone Pilot's Manual. North Charleston, USA: Createspace Independent Publishing Platform, 2016.
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Halliday, Brian. Drones: The Professional Drone Pilot's Manual. Independently Published, 2016.
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Halliday, Brian. Drones: The Professional Drone Pilot's Manual. Independently Published, 2016.
Find full textBook chapters on the topic "Drone"
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Marwaha, Lovleen. "The Pheromonal Profile of the Drone Honey Bees Apis mellifera: The Volatile Messengers." In The Drone Honey Bee, 53–64. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815179309123010006.
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The drone honey bee produces volatile chemicals during developmental and adult stages that facilitate chemical interaction between drone larvae and workers, drone to drone, and drone to the queen. For example, the drone larvae solicit larval food from nurse bees through chemical messengers; further, adult drones attract other drones to drone congregation areas (DCA) through pheromones; the drones attract queen honey bees to DCA through volatile chemicals. The mandibular drone gland secretes volatile chemicals, a mixture of saturated, unsaturated, and methyl-branched fatty acids. In the drone honey bee of Apis mellifera, about 18,600 olfactory poreplate sensilla per antenna are associated with receptor neurons. The current chapter highlights the role of chemical volatiles in Drone honey bee’s life and overall influence.
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Churchill, Robert Paul. "Drone Warfare." In Unmanned Aerial Vehicles, 452–68. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8365-3.ch020.
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The United States is now relying on Reaper and Predator drone strikes as its primary strategy in the continuing War on Terrorism. This paper argues for the rational scrutiny drone warfare has yet to receive. It is argued that drone warfare is immoral as it fails both the jus in bello and the jus ad bellum conditions of Just War theory. Drone warfare cannot be accepted on utilitarian grounds either, as it is very probable that terrorists will acquire drones capable of lethal strikes and deploy them against defenseless civilians. Moreover, by examining the psychological bases for reliance on drone warfare, as well as the message the United States is sending adversaries, we need to be concerned that, rather than reduce the likelihood of terrorists strikes, the U.S. reliance on drones strikes threatens to institutionalize terrorism as the status quo for the foreseeable future.
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Lacoste, Marc, David Armand, Fanny Parzysz, Loïc Ferreira, Ghada Arfaoui, Yvan Rafflé, Yvon Gourhant, Nicolas Bihannic, and Sébastien Roché. "Drone Security." In Design Innovation and Network Architecture for the Future Internet, 352–84. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7646-5.ch013.
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This chapter explores the security challenges of the drone ecosystem. Drones raise significant security and safety concerns, both design-time and run-time (e.g., supply-chain, technical design, standardization). Two broad classes of threats are considered, on drones and using drones (e.g., to attack critical infrastructures or vehicles). They involve both professional and non-professional drones and lead to various types of attacks (e.g., IoT-type vulnerabilities, GPS spoofing, spying, kinetic attacks). Trade-offs involving hardware and software solutions to meet efficiency, resource limitations, and real-time constraints are notably hard to find. So far, protection solutions remain elementary compared to the impact of attacks. Advances in technologies, new use cases (e.g., enhancing network connectivity), and a regulatory framework to overcome existing barriers are decisive factors for sustainable drone security market growth.
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Fesenko, Herman, and Ihor Kliushnikov. "NPP Monitoring Missions via a Multi-Fleet of Drones." In Cyber Security and Safety of Nuclear Power Plant Instrumentation and Control Systems, 458–73. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3277-5.ch017.
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A drone-based system of monitoring of severe NPP accidents is described. A structure of a multi-fleet of drones, consisting of main drone fleets and a reserve drone fleet, is considered. A matrix of drone fleet reliability assessment attributes is presented. Various structures for systems of control stations for the multi-fleet of drones are suggested. Reliability models for the multi-fleet of drones with centralized (irredundant), centralized (redundant), decentralized, and partially decentralized systems of control stations are developed and analyzed.
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"Introduction." In drone. Bloomsbury Academic, 2015. http://dx.doi.org/10.5040/9781501309458.0004.
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"Four Technology Stories." In drone. Bloomsbury Academic, 2015. http://dx.doi.org/10.5040/9781501309458.0005.
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"The Military Drone." In drone. Bloomsbury Academic, 2015. http://dx.doi.org/10.5040/9781501309458.0006.
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"The Commercial Drone (or, the hole where it ought to be)." In drone. Bloomsbury Academic, 2015. http://dx.doi.org/10.5040/9781501309458.0007.
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"Blinking Lights." In drone. Bloomsbury Academic, 2015. http://dx.doi.org/10.5040/9781501309458.0008.
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"Software and Hardware." In drone. Bloomsbury Academic, 2015. http://dx.doi.org/10.5040/9781501309458.0009.
Full textConference papers on the topic "Drone"
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Lidumnieks, Toms, Armands Celms, and Ivars Bergmanis. "APPLICATION OF DRONE TECHNOLOGY FOR FLOOD RISK MONITORING AND MODELING." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024, 11–18. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/3.2/s11.02.
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The increasing frequency and intensity of flood events necessitate innovative approaches for effective monitoring and modeling to mitigate risks. This article explores the application of drone technology in flood risk management, highlighting its advantages over traditional methods. Drones equipped with high-resolution cameras and advanced sensors can rapidly collect spatial data, enabling detailed topographic assessments and hydrological modeling. Their ability to access hard-to-reach areas allows for real-time monitoring of flood-prone regions and infrastructure, improving response times during emergency situations. Case studies illustrate the successful use of drones in flood risk assessment, mapping, and data validation, demonstrating their potential to enhance decision-making for urban planning and disaster preparedness. Drone applications in flood management encompass a range of functionalities that enhance monitoring, modeling and response strategies. Drones helps and use for Data collection and mapping; Real time monitoring; Risk assessment; Damage assessment - this rapid assessment supports emergency response efforts and aids in recovery planning; Enviromental monitoring; Drones could integrate with other technologies - Geographical information systems (GIS) and data analytics tools to enhance flood modeling and prediction capabilities. The integration of aerial imagery and remote sensing data into flood models underscores the transformative role of drone technology in building resilient communities against flooding. This article emphasizes the need for further research and collaboration across disciplines to optimize drone applications in flood risk management. The aim of the research is Examine modern drone technologies and their application in flood risk monitoring; The adoption of drone technology in flood management provides a cost - effective, efficient, and innovative approach that significantly enchances preparednes and resilience against flooding events. To fulfill the research aim, certain objectives must be completed: 1. Evaluate currently available drone sensors and their use in data collection for flood modeling; 2. Assess the processes involved in modern flood risk monitoring and modeling; 3. To analyse the area of Latvia that are currently most exposed to flood risk and to assess what are the key conditions that contribute to them; 4. Evaluate the integration of drone technologies and their data into a modern flood monitoring and modeling system.
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Tinney, Charles, Bryson Hill, John Valdez, Jayant Sirohi, and Christopher Cameron. "Drone Acoustics at Static Thrust Conditions." In Vertical Flight Society 73rd Annual Forum & Technology Display, 1–14. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12288.
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Multirotor drones are becoming increasingly popular in both the civilian and military sectors of our society. These compact gadgets come in a variety of sizes with the smallest ones measuring less than two inches in diameter, while larger ones can be in excess of five feet. Surprisingly, very little is known about their acoustical footprint, which is becoming a topic of broad importance given that these vehicles most often operate in populated areas. Thus, the objective of this paper is to provide a first principles understanding of the acoustical characteristics of hovering drones. To accomplish this, a new test stand was constructed at the Applied Research Laboratories at The University of Texas at Austin for studying various multirotor drone configurations. The drone test stand is capable of powering up to eight DC electric motors with adjustable arms that allow different rotor diameters to be tested. Rotor diameters ranging from 8 in to 12 in are studied and with configurations comprised of an isolated rotor, a quadcopter configuration and a hexacopter configuration. A six degree-of-freedom load cell is used to assess the aerodynamic performance of each drone configuration. Meanwhile, an azimuthal array of 1/2-inch microphones is placed between 2 and 3 hub-center diameters from the drone center thereby allowing the acoustic near-field to be quantified. The analysis is performed using standard statistical metrics such as Sound Pressure Level and Overall Sound Pressure Level and is presented to demonstrate the relationship between the number of rotors, the drone rotor size and it's aerodynamic performance (thrust) relative to the far-field noise.
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AlDosari, Khloud, AIbtisam Osman, Omar Elharrouss, Somaya Al-Maadeed, and Mohamed Zied Chaari. "Drone-type-Set: Drone types detection benchmark for drone detection and tracking." In 2024 International Conference on Intelligent Systems and Computer Vision (ISCV), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/iscv60512.2024.10620104.
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Oliveira, Carolina Andrade de, Roseneia Rodrigues Santos de Melo, Vanessa Cruz Pacheco, Vitor Marcelo Senra Nunes Guimarães, and Dayana Bastos Costa. "Implementação do método de inspeção de segurança (Smart Inspecs) em obras de infraestrutura." In XX ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO, 1–13. UFAL, 2024. http://dx.doi.org/10.46421/entac.v20i1.5905.
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O uso de drones para inspeção de segurança em obras de edificações tem se tornado uma prática cada vez mais comum, facilitando a identificação de áreas de risco e a proposição de ação corretiva em tempo hábil. No entanto, seu uso para inspeção de obras de infraestrutura vem sendo pouco explorado na literatura. Em vista disso, este artigo tem como objetivo implementar o método de inspeção de segurança com drone (Smart Inspecs) em canteiros de obras de infraestrutura. Como estratégia de pesquisa adotou-se o estudo de caso, incluindo as etapas de coleta de dados com drone, análise de desempenho de segurança e avaliação da implementação com base na percepção de gestores e profissionais do campo. Os resultados retratam as dificuldades enfrentadas pelos gestores e técnicos de segurança no gerenciamento de canteiro de obras de grandes extensões, bem como atividades de escavação e movimentação de cargas em meio às vias públicas. Como contribuição, este artigo apresenta a adaptação do método de inspeção apoiado por drone em obras de infraestrutura.
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Gantiya, Ladfah, and Chuchart Pintaviooj. "Medical Delivery Drone." In 2024 16th Biomedical Engineering International Conference (BMEiCON), 1–6. IEEE, 2024. https://doi.org/10.1109/bmeicon64021.2024.10896289.
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Goto, Akihiko, Naoki Sugiyama, and Tomoko Ota. "Motion analysis of drone pilot operations and drone flight trajectories." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003749.
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This study compares the piloting practices and drone flight trajectories of skilled and novice drone pilots. Markers for 3D movement analysis were attached to the fingers that move the control stick. Similarly, drones were also marked and the flight movement of the drones analyzed. These two sets of data were cross-checked to examine the characteristics of the subjects. As a result, the following results were obtained.・The expert pilot did not adjust the position of the object directly in front of the object to be photographed, but at a distance of about 90 mm in the lateral direction.・The expert moved the drone in both the first axis and the second axis directions
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Abunada, Abdulrahman Hasan, and Ahmed Yousif Osman. "RF Based Anti-Drone System." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0248.
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The anti-drone system blocks drones from entering a protected area. The aim of this project is to design a drone detection mechanism using the RF control signal exchanged between the drone and its remote controller. The system generates a high-power jamming signal transmitted over the same carrier frequency and band of the detected drone (project supports only 2.4 GHz band) and directed towards the drone location in order to disconnect it from its controller causing safe landing or return to home mechanisms to triggered.
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Kotkova, Barbora. "DEFENCE SYSTEMS AGAINST DRONE ATTACKS." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/2.1/s07.03.
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Large European airports have now been forced to close several times due to the disruption of their protected area by drones. The biggest incident in terms of damage and restrictions clearly includes the attack of 19 and 21 December 2018 on one of the largest airports in Europe, London - Gatwick. All air traffic was interrupted, and flights were canceled and postponed. It was only a matter of time before drone technology was used by terrorist organizations and other criminals for their attacks. The article discusses the dangers that drones can cause. It describes the various basic categories of drones, their historical development, and the beginnings of the misuse of drones by terrorist organizations. The types currently used by the armed forces in the war in Ukraine are also mentioned. Furthermore, the article deals with systems that aim to eliminate this threat and which are available to companies and individuals financially. Thus, drone defense systems were selected and compared with a detailed description of their detection and destruction methods. The article concludes that a modern anti-drone defense for soft targets has already been developed and a set of recommendations for their combination and implementation follows.
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Zhang, Steven, and Yu Sun. "An Intelligent Drone System to Automate the Avoidance of Collison using AI and Computer Vision Techniques." In 2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111404.
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People love to fly drones, but unfortunately many end up crashing or losing them. As the technology of flying drones improves, more people are getting involved. With the number of users increasing, people find that flying drones with sensors is safer because it can automatically avoid problems, but such drones are expensive. This paper describes an inexpensive UAV (unmanned aerial vehicle) system that eliminates the need for sensors and uses only the camera to avoid collisions. This program helps avoid drone crashes and losses. We used the Tello Education drone as our testing drone, which is only outfitted with a camera. Using the camera feed and transmitting that data to the program, the program will then give commands to the drone to avoid collisions.
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Siean, Alexandru-Ionut. "A Set of Smart Ring Gestures for Drone Control." In 12th International Conference on Electronics, Communications and Computing. Technical University of Moldova, 2022. http://dx.doi.org/10.52326/ic-ecco.2022/cs.12.
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We present in this paper the results of a frequency analysis of gesture commands frequently employed for human- drone interaction in the scientific literature, and we propose a set of gestures for controlling drones that can be performed with smart rings. Our method consists in the analysis of thirty-seven articles, which we examined closely to extract commands for human-drone interaction, including voice, gesture, and multi- modal input. Based on our meta-analysis, we present a set of six groups of commands for human-drone interaction together with a set of smart ring gestures to interact with and control drones. Our results can be used to inform the design of new interactive applications for controlling smart-ring drones.
Reports on the topic "Drone"
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Veilleux-Lepage, Yannick, and Emil Archambault. A Comparative Study of Non-State Violent Drone use in the Middle East. ICCT, December 2022. http://dx.doi.org/10.19165/2022.3.01.
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This report examines the drone programs of five non-state groups operating in the Middle East: Hezbollah, Hamas, the Houthi Movement, Islamic State (IS), and the Kurdish Workers’ Party (PKK). In contrast to other violent non-state actors, these five groups have shown that they are willing to engage in tactical and/or technical innovation in the use of drones, have sustained a long-term engagement with drone technology and demonstrated the capacity to develop drone infrastructure. The development of drone programs by these five different groups is different in terms of timescales, methods, strategies, and tactics. Therefore, the report rejects the notion that all non-state groups’ drone programs follow a similar course of development. Instead, it argues that a terrorist group’s use of drones needs to be situated within the context of that group’s overarching strategic goals. Because of this, we argue that states and militaries that are going up against these groups need to first understand what a specific group hopes to accomplish with drones in order to fully comprehend the specific threat, and secondly understand the specific challenges presented by innovation within drone programs (as opposed to episodic drone use). This report outlines offers a framework for the study of drone innovation which is not limited to these groups, but which could also apply to other groups in the future. It does this by describing five different routes that non-state actors have taken to develop drone technology. This paper has made three important additions to the body of knowledge on this topic through systematic empirical data collection and analysis. First of all, the findings suggest that there is a need to refocus attention away from the most high-profile threat – that of drone-deployed WMDs – and toward the more common and empirically demonstrated methods that groups use when employing drones. We have found no evidence of a non-state group seriously attempting to deliver WMDs by drone. While there are indications that Islamic State (IS) pursued both WMD programs and drone programs in parallel, there is no evidence that they are sought to integrate the two. Security professionals, as such, should focus their attention on the empirically-demonstrated uses of drones by armed non-state groups, and on the plurality of means through which drones can enhance these groups’ activities. Second, scholarship and security planning must concentrate on the particular danger posed by drone programs (as opposed to the occasional use of drones) and the potential for innovation in drone use. When fighting drone programs, nations and armies need to retain a focus on innovation and adaptation, and they must understand how organizations grow tactically, strategically, and technically. Drone development is neither linear nor static. Finally, this report demonstrates that there is no single route of development for the use of drones by non-state entities, nor is there a pattern that these groups want to follow in order to expand their capabilities. Each organization uses drones in a manner that is unique to its own set of logistical, political, and strategic parameters; hence, drone programs need to be positioned within the larger context of the organization’s military means and operations. Therefore, militaries and states that are confronting drone programs need to maintain a holistic approach. While they may draw on existing practices that have had varying degrees of success in countering drone threats and engage in preventive action to mitigate the scope of drone programs, approaches should consider drone programs not only as a distinct, isolated threat, but also as part of broader military operations, strategies, and conflict processes.
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Lane, Lerose, and DingXin Cheng. Pavement Condition Survey using Drone Technology. Mineta Transportation Institute, June 2023. http://dx.doi.org/10.31979/mti.2023.2202.
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Timely repairs of pavement defects are essential in protecting both public road and highway systems. Identification of pavement distresses is necessary for planning pavement repairs. This has previously been performed by engineers surveying the roadways visually in the field. As drone usage has progressed, it has become clear that drones are a valuable tool to enhance visual documentation, improve project communication, and provide various data for processing. The use of drone technology has improved both the speed and accuracy of capturing data. Available software has allowed the data to be processed and analyzed in an office environment. This report summarizes the use of drone technology for pavement evaluation for three case studies. Results from this study can be used to deepen understanding of drone use in the process of data gathering for timely repairs for transportation infrastructure.
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Ramirez Rufino, Smeldy, Manuel Rodriguez Porcel, and Orlando Perez Richiez. Drones in Construction: Unpacking the Value that Drone Technologies Bring to the Construction Sector Across Latin America. Inter-American Development Bank, February 2023. http://dx.doi.org/10.18235/0004748.
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The use of drone technology in capital projects is an emerging area that holds promise for growth. Drones are becoming more widely available, and regulatory bodies are gradually allowing their use on a larger scale. With the development of software solutions that can effectively utilize data, drones are increasingly being used throughout the entire lifecycle of capital projects, including smaller infrastructure projects. The benefits of using drones in construction projects are numerous and include providing an unparalleled record of all activities, reducing planning and survey costs, increasing productivity, improving the accuracy of volumetric measurements, and mitigating disputes over the project's status. In the future, drone data will be integrated with CAD and BIM models and artificial intelligence (AI) to track construction progress and adherence to design automatically. While the construction industry has been slower in adopting new digital technologies than other sectors, leading global companies have widely adopted drones for capital project monitoring. In Latin America, drone adoption in the infrastructure sector is still limited, but early adopters have validated and are utilizing the technology. This report provides an examination of the current state of drone use in the Latin American region, including the benefits, barriers, early adopters, and what is required to promote its adoption.
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Harriss, Lydia, and Zara Mir. Misuse of civilian drones. Parliamentary Office of Science and Technology, January 2020. http://dx.doi.org/10.58248/pn610.
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Drones (also known as unmanned aircraft) are flying systems that do not carry a pilot. As the technology has become cheaper and more sophisticated, the use of drones for recreational and commercial purposes has grown, with the Civil Aviation Authority (CAA) reporting a significant increase in the number of permissions obtained for operating commercial drones in the UK. Despite their potential to reduce costs, improve efficiency and provide new services, drones may be misused accidentally or for malicious purposes. For example, reports of drone sightings at Gatwick Airport in December 2018 grounded around 1,000 flights for almost 36 hours, affecting more than 140,000 passengers. In 2018, the Government introduced new limits on where drones can be flown and new registration and education requirements for drone operators and pilots. In January 2020, the new Government introduced an Air Traffic Management and Unmanned Aircraft Bill to Parliament that included new police powers for enforcing aviation laws (such as the power to issue a fixed penalty notice for certain drone offences). This POSTnote looks at civilian drones and their applications, focusing on potential misuse and possible responses.
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Desa, Hazry, and Muhammad Azizi Azizan. OPTIMIZING STOCKPILE MANAGEMENT THROUGH DRONE MAPPING FOR VOLUMETRIC CALCULATION. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.004.
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Stockpile volumetric calculation is an important aspect in many industries, including construction, mining, and agriculture. Accurate calculation of stockpile volumes is essential for efficient inventory management, logistics planning, and quality control. Traditionally, stockpile volumetric calculation is done using ground-based survey methods, which can be time-consuming, labour-intensive, and often inaccurate. However, with the recent advancements in drone technology, it has become possible to use drones for stockpile volumetric calculation, providing a faster, safer, and more accurate solution. The duration of this project is one year, from May 1st, 2019, until April 30th, 2020, and is comprised of two primary research components: analyzing the properties and classification of limestone and conducting digital aerial mapping to calculate stockpile volumetrics. The scope of this technical report is specifically limited to the aerial mapping aspect of the project, which was carried out using drones. The project involved two phases, with drone flights taking place during each phase, spaced about six months apart. The first drone flight for data collection occurred on July 12th, 2019, while the second took place on December 15th, 2020. The project aims to utilize drone technology for stockpile volumetric calculation, providing a more efficient and cost-effective solution. The project will involve the use of advanced drone sensors and imaging technology to capture high-resolution data of the stockpile area. The data will then be processed using sophisticated software algorithms to generate accurate 3D models and volumetric calculations of the stockpile.
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Manjanoor, Mohammad Anwar. Towards Autonomous Drone Racing. Ames (Iowa): Iowa State University, January 2021. http://dx.doi.org/10.31274/cc-20240624-1511.
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Hyde, Jeffrey. FY23 Drone RFID Final Report. Office of Scientific and Technical Information (OSTI), October 2023. http://dx.doi.org/10.2172/2203379.
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Card, S., A. Wiethuechter, R. Moskowitz, and A. Gurtov. Drone Remote Identification Protocol (DRIP) Architecture. Edited by S. Zhao. RFC Editor, July 2023. http://dx.doi.org/10.17487/rfc9434.
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Dorsey, Jessica, and Nilza Amaral. Military drones in Europe. Royal Institute of International Affairs, April 2021. http://dx.doi.org/10.55317/9781784134556.
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The use of armed drones, particularly to conduct targeted killings outside formal war zones, is highly contentious. In the contemporary context, where conflict has moved beyond the theatres of traditional warfare to take place in undefined battle zones, and is chiefly characterized by counterterrorism and counter-insurgency operations, drone use has brought to the fore critical questions on civilian casualties, the rule of law, secrecy and lack of accountability, among others. This paper has been developed as part of a project focusing on the policy implications for the UK and the EU of the use of armed drones. The analysis draws on discussions that took place at two research workshops and a simulation exercise held at Chatham House in 2019. The authors argue that the troubling questions raised by armed drone use should not just be a concern for countries that may use them in permissive ways. The EU and the UK, with a shared interest in upholding democratic values, need to work together on developing guidance on best practice for improving transparency and accountability around the use of armed drones.
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She, Ruifeng, and Yanfeng Ouyang. Analysis of Drone-based Last-mile Delivery Systems under Aerial Congestion: A Continuum Approximation Approach. Illinois Center for Transportation, August 2023. http://dx.doi.org/10.36501/0197-9191/23-014.
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This paper presents a systematic analysis and design framework for a spectrum of last-mile delivery systems that leverage unmanned aerial vehicles (UAVs). Four distinct modes are considered: (1) direct drone deliveries from a fixed depot; (2) drone deliveries from parked trucks that carry bulk parcels to customer neighborhoods; (3) drone deliveries from nonstopping trucks that tour customer neighborhoods; and (4) as a benchmark, traditional truck-based home deliveries. We present a new continuum-approximation approach that is used for analysis of both truck routing and aerial-UAV traffic. We compared the operational cost and efficiency of different delivery schemes to reveal how a certain scheme is the most efficient under various scenarios. We demonstrate the applicability of our model on expansive real-world roadway networks and further conduct analysis on grid networks, yielding key analytical insights. The drone-based delivery is demonstrated to be superior to conventional truck-only delivery, suggesting a significant potential for socioeconomic benefit. It is observed that when servicing a relatively low demand over a small area, dispatching drones directly from the distribution facility is the most efficient method. As the demand grows or spans a wider area, collaborative strategies are preferred, as they better cope with certain aspects, such as the long line-haul cost or the ramping aerial congestion, by striking a balance between efficiency and flexibility.