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Статті в журналах з теми "Drones (UAV)"

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Okulski, Michał, and Maciej Ławryńczuk. "A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone." Applied Sciences 12, no. 14 (July 13, 2022): 7059. http://dx.doi.org/10.3390/app12147059.

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Most types of Unmanned Aerial Vehicle (UAV, drone) missions requiring Vertical-Take-Off-and-Landing (VTOL) capability could benefit if a drone’s effective range could be extended. Example missions include Search-And-Rescue (SAR) operations, a remote inspection of distant objects, or parcel delivery. There are numerous research works on multi-rotor drones (e.g., quadcopters), fixed-wing drones, VTOL quadplanes, or tilt-motor/tilt-wing VTOLs. We propose a unique compact VTOL UAV optimized for long hover and long-range missions with great lifting capacity and manoeuvrability: a tandem-wing quadplane with fixed motors only. To the best of our knowledge, such a drone has not yet been researched. The drone was designed, built, and tested in flight. Construction details, its advantages, and issues are discussed in this research.
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Berner, Bogusława, and Jerzy Chojnacki. "Conception of UAV use in the road rescue." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 18, no. 7-8 (August 31, 2017): 53–56. http://dx.doi.org/10.24136/atest.2017.030.

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The paper presents prospects and examples of drone – Unmanned Aerial Vehicle use in road rescue. There was presented the Drone Road Rescue System, which would be created from combining drones used for road monitoring and traffic accident identification, drones for delivery of necessary equipment and drones for remote transportation of victims to the hospital. Based on the already existing solutions, the various components of the system are discussed.
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Hong, Tao, Qiye Yang, Peng Wang, Jinmeng Zhang, Wenbo Sun, Lei Tao, Chaoqun Fang, and Jihan Cao. "Multitarget Real-Time Tracking Algorithm for UAV IoT." Wireless Communications and Mobile Computing 2021 (August 24, 2021): 1–15. http://dx.doi.org/10.1155/2021/9999596.

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Unmanned aerial vehicles (UAVs) have increased the convenience of urban life. Representing the recent rapid development of drone technology, UAVs have been widely used in fifth-generation (5G) cellular networks and the Internet of Things (IoT), such as drone aerial photography, express drone delivery, and drone traffic supervision. However, owing to low altitude and low speed, drones can only limitedly monitor and detect small target objects, resulting in frequent intrusion and collision. Traditional methods of monitoring the safety of drones are mostly expensive and difficult to implement. In smart city construction, a large number of smart IoT cameras connected to 5G networks are installed in the city. Captured drone images are transmitted to the cloud via a high-speed and low-latency 5G network, and machine learning algorithms are used for target detection and tracking. In this study, we propose a method for real-time tracking of drone targets by using the existing monitoring network to obtain drone images in real time and employing deep learning methods by which drones in urban environments can be guided. To achieve real-time tracking of UAV targets, we employed the tracking-by-detection mode in machine learning, with the network-modified YOLOv3 (you only look once v3) as the target detector and Deep SORT as the target tracking correlation algorithm. We established a drone tracking dataset that contains four types of drones and 2800 pictures in different environments. The tracking model we trained achieved 94.4% tracking accuracy in real-time UAV target tracking and a tracking speed of 54 FPS. These results comprehensively demonstrate that our tracking model achieves high-precision real-time UAV target tracking at a reduced cost.
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Akhloufi, Moulay A., Sebastien Arola, and Alexandre Bonnet. "Drones Chasing Drones: Reinforcement Learning and Deep Search Area Proposal." Drones 3, no. 3 (July 16, 2019): 58. http://dx.doi.org/10.3390/drones3030058.

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Unmanned aerial vehicles (UAVs) are very popular and increasingly used in different applications. Today, the use of multiple UAVs and UAV swarms are attracting more interest from the research community, leading to the exploration of topics such as UAV cooperation, multi-drone autonomous navigation, etc. In this work, we propose two approaches for UAV pursuit-evasion. The first approach uses deep reinforcement learning to predict the actions to apply to the follower UAV to keep track of the target UAV. The second approach uses a deep object detector and a search area proposal (SAP) to predict the position of the target UAV in the next frame for tracking purposes. The two approaches are promising and lead to a higher tracking accuracy with an intersection over union (IoU) above the selected threshold. We also show that the deep SAP-based approach improves the detection of distant objects that cover small areas in the image. The efficiency of the proposed algorithms is demonstrated in outdoor tracking scenarios using real UAVs.
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Aravind, Rajeswari, and S. Mathivathani. "Overview of Quad Copter and Its Utilitarian." Journal of Computational and Theoretical Nanoscience 16, no. 2 (February 1, 2019): 503–6. http://dx.doi.org/10.1166/jctn.2019.7758.

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The focus of this research is drone which is called as the UAV (unmanned aerial vehicle). They include both autonomous drones and remotely piloted vehicles (RPVs). The article highlights on feasibility of drone in various applications and its variable mechanism. Features of drones are also discussed here. Drones are not to given licenses by several governments since they pose a threat to privacy and also security. Therefore an active surveillance scheme has to be developed to monitor its uncontrolled use.
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Kim, Sung-Geon, Euibum Lee, Ic-Pyo Hong, and Jong-Gwan Yook. "Review of Intentional Electromagnetic Interference on UAV Sensor Modules and Experimental Study." Sensors 22, no. 6 (March 20, 2022): 2384. http://dx.doi.org/10.3390/s22062384.

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With the advancement of technology, Unmanned Aerial Vehicles (UAVs), also known as drones, are being used in numerous applications. However, the illegal use of UAVs, such as in terrorism and spycams, has also increased, which has led to active research on anti-drone methods. Various anti-drone methods have been proposed over time; however, the most representative method is to apply intentional electromagnetic interference to drones, especially to their sensor modules. In this paper, we review various studies on the effect of intentional electromagnetic interference (IEMI) on the sensor modules. Various studies on IEMI sources are reviewed and classified on the basis of the power level, information needed, and frequency. To demonstrate the application of drone-sensor modules, major sensor modules used in drones are briefly introduced, and the setup and results of the IEMI experiment performed on them are described. Finally, we discuss the effectiveness and limitations of the proposed methods and present perspectives for further research necessary for the actual application of anti-drone technology.
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McKelvey, Nigel, Cathal Diver, and Kevin Curran. "Drones and Privacy." International Journal of Handheld Computing Research 6, no. 1 (January 2015): 44–57. http://dx.doi.org/10.4018/ijhcr.2015010104.

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Drones, also referred to as UAV's (Unmanned Aerial Vehicle), are an aircraft without a human pilot. Drones have been used by various military organisations for over a decade, but in recent years drones a have been emerging more and more in commercial and recreational capacity. The paper is aimed at drone and UAV technology capabilities and how they could and are currently effecting privacy laws globally in comparison to those currently in the Rep. of Ireland. Being investigated is the collection, retention and purpose of which civilian's information is being gathered. The authors also discuss the laws preventing the development and evolution of drone technology in the US in comparison to the Rep. of Ireland.
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Wojtowicz, Konrad, and Przemysław Wojciechowski. "Synchronous Control of a Group of Flying Robots Following a Leader UAV in an Unfamiliar Environment." Sensors 23, no. 2 (January 9, 2023): 740. http://dx.doi.org/10.3390/s23020740.

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An increasing number of professional drone flights require situational awareness of aerial vehicles. Vehicles in a group of drones must be aware of their surroundings and the other group members. The amount of data to be exchanged and the total cost are skyrocketing. This paper presents an implementation and assessment of an organized drone group comprising a fully aware leader and much less expensive followers. The solution achieved a significant cost reduction by decreasing the number of sensors onboard followers and improving the organization and manageability of the group in the system. In this project, a group of quadrotor drones was evaluated. An automatically flying leader was followed by drones equipped with low-end cameras only. The followers were tasked with following ArUco markers mounted on a preceding drone. Several test tasks were designed and conducted. Finally, the presented system proved appropriate for slowly moving groups of drones.
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Liu, Bailin, and Huan Luo. "An Improved Yolov5 for Multi-Rotor UAV Detection." Electronics 11, no. 15 (July 27, 2022): 2330. http://dx.doi.org/10.3390/electronics11152330.

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Multi-rotor drones have a wide range of applications in practical scenarios; however, the use of multi-rotor drones for illegal acts is also on the rise, in order to improve the recognition accuracy of multi-rotor drones. A new multi-rotor drone detection algorithm is proposed. Firstly, the Yolov5 backbone is replaced with Efficientlite, thus reducing the number of parameters in the model. Secondly, adaptively spatial feature fusion is injected into the head of the baseline model to facilitate the fusion of feature maps with different spatial resolutions, in order to balance the accuracy loss caused by the lightweight of the model backbone. Finally, a constraint of angle is introduced into the original regression loss function to avoid the mismatch between the prediction frame and the real frame orientation during the training process in order to improve the speed of network convergence. Experiments show that the improved Yolov5s exhibits better detection performance, which provides a superior method for detecting multi-rotor UAVs in real-world scenarios.
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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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Анотація:
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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Дисертації з теми "Drones (UAV)"

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ADER, MARIA, and DAVID AXELSSON. "Drones in arctic environments." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217918.

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This is a master thesis by Maria Ader and David Axelsson, students at the Master of Science in Engineering degree program in Design and Product Realization at KTH, within the master program Integrated Product Design. The thesis work will benefit ÅF and the EU project ɪɴᴛᴇʀᴀᴄᴛ. The ɪɴᴛᴇʀᴀᴄᴛ project is part of the EU’s effort to forward climate research, and aims to “coordinate and harmonize research and monitoring efforts that will greatly contribute to our knowledge and understanding of changes occurring in the arctic environment.” One out of 12 subprojects within ɪɴᴛᴇʀᴀᴄᴛ aims to “increase awareness of drone technology and sensors among researchers and research station managers while making industry aware of innovative potential uses requiring drone and sensor development.” A drone is an unmanned aerial system/vehicle (UAS/UAV), i.e. an airborne vehicle without a human pilot aboard. This master thesis examines the need of drones at the ɪɴᴛᴇʀᴀᴄᴛ research stations and how arctic climates affect drone technology and the ergonomics of piloting a drone. The thesis also provides an overview of the current state of the drone market and the laws and regulations that affect the use of drones. A survey was distributed within ɪɴᴛᴇʀᴀᴄᴛ to map the researchers’ need of, and attitudes towards, drones, followed by exhaustive interviews with researchers and other key figures. Field testing at Tarfala Research Station provided complementing data. The primary insight from the study was that the researchers’ need, as well as the tasks and methods that they employ, vary greatly. Another insight was that many researchers want to use drones primarily as a sensor platform to collect data from large areas in a short time span. A situation-based drone recommendation and a concept proposal for a simple water sampling solution were made based on the results of the study
Detta är ett examensarbete utfört av Maria Ader och David Axelsson, studenter på civilingenjörsprogrammet Design och Produktframtagning på KTH, med masterinriktning Teknisk Design. Arbetet är utfört åt ÅF i syfte att bidra till EU-projektet ɪɴᴛᴇʀᴀᴄᴛ. Iɴᴛᴇʀᴀᴄᴛ är EU:s satsning på klimatforskning i Arktis och syftar till att “koordinera och harmonisera forskning och miljöbevakning som bidrar till vår kunskap och förståelse av förändringar som sker i de arktiska miljöerna.” Ett av tolv delprojekt inom ɪɴᴛᴇʀᴀᴄᴛ-projektet syftar till att öka medvetenheten om drönarteknologi och sensorer bland forskare och föreståndare på forskningsstationerna inom ɪɴᴛᴇʀᴀᴄᴛ, samt att göra drönarindustrin medveten om nya potentiella användningsområden. En drönare är ett obemannat luftfartyg, d.v.s. en flygfarkost utan pilot ombord. Drönare benämns ibland som “UAS” och “UAV”. I den här rapporten används främst den engelska termen “drones”. Detta examensarbete undersöker behovet av drönare på de forskningsstationer som är delaktiga i ɪɴᴛᴇʀᴀᴄᴛ och hur det arktiska klimatet påverkar drönartekniken och ergonomin. Arbetet kartlägger även drönarmarknaden och de lagar och regler som påverkar användandet av drönare. En utförlig studie genomfördes, där forskarnas behov av drönare undersöktes. En enkät skickades ut inom ɪɴᴛᴇʀᴀᴄᴛ och utförliga intervjuer genomfördes med forskare och andra nyckelpersoner. Ett studiebesök på Tarfala forskningsstation kompletterade med fältdata. Den främsta insikten från studien var att behov, arbetsuppgifter och metoder varierar mycket mellan de olika forskarna. En annan insikt var att många ville använda drönare som sensorbärare, och på så sätt insamla data från stora områden på kort tid. Resultatet från studien låg till grund för en situationsbaserad drönarrekommendation samt ett konceptförslag för en enkel vattenprovtagningslösning.
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Duffy, Sean David. "Why the Rise in Drones." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1440338245.

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

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Through out history, technological advancements have reshaped the built environment and its Architecture. The cities that we live in today were only made possible by the technologies of the first, second, and third industrial revolutions. Today, we are witnessing another technological revolution based on open source data and artificial intelligence. As there is an enormous amount of prosperous innovations that would directly impact Architecture design tools, building and finishing materials, and construction methods, there are also other innovations that would require spaces, buildings, and cities to be designed to accommodate them. Among the latter mentioned innovations is the Unmanned Aerial Vehicle (UAV), also know as drones. Like the automobile, drone technology will influence not only the way we live but also our design thinking and the components of our built environment. Along with drone�s ability to fly, UAV�s digital infrastructure is much more flexible and most importantly, invisible. Autonomous Drones� intelligent abilities allow them to provide a wide range of services in various fields such as; freight and delivery, transportation, infrastructure and buildings maintenance, survey, surveillance, policing, fire fighting, agriculture, and even construction, all of which will effectively reduce the amount of ground vehicle traffic, especially in populated cities. Today, as these possibilities are available and constantly under development, it is important for Architecture and Urban Design disciplines to address the challenge and provide comprehensive solutions to accommodate such a technology and allow its possibilities to prosper even further. The intent of this thesis is to study UAV technology and design a mix-use complex that embraces and accommodates UAV services such as; delivery, transport, freight, and maintenance. The complex hosts a residential tower, a vertical garden tower, ground level commercial spaces, and an underground drone hub.
MArch
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Loureiro, Ricardo Samuel Rodrigues. "Sistema SDR para comunicação com UAV." Master's thesis, Universidade de Aveiro, 2018. http://hdl.handle.net/10773/23785.

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Mestrado em Engenharia Eletrónica e Telecomunicações
Os veículos aéreos não tripulados (UAV) são extremamente versáteis e capazes de desempenhar funções nos mais diversos campos de ação. A sua aplicabilidade tem registado um aumento em inúmeros setores, desde drones militares a agrícolas passando por drones de transporte de mercadorias. Os UAVs são compostos por vários subsistemas dos quais alguns beneficiam da capacidade do mesmo transmitir grande quantidade de informação, por exemplo, para uma estação base. A elevada mobilidade aliada à variabilidade do canal usado para a transmissão de informação requer que sejam adotadas técnicas de modulação adequadas a este cenário. Nesta dissertação é apresentado o desenvolvimento de um transmissor baseado em sistemas SDR. Estes sistemas apresentam as vantagens de serem reconsagráveis e eficientes, sendo esta última característica muito importantes em aparelhos voadores. A cadeia do transmissor desenvolvida é baseada no protocolo IEEE 802.11p, atualmente usado em comunicações veiculares onde os problemas inerentes às comunicações com grande mobilidade e com o ar como canal transmissão são mitigados. Este protocolo e baseado em OFDM que oferece uma imunidade à variabilidade do canal e implementa métodos de correção ativa de erros. O transmissor foi projetado com o intuito de fazer de um transcetor flexível em termos de frequência de operação, largura banda e o tipo de informação que permite enviar, mantendo um tamanho, característica importante para sistemas a implementar em UAVs.
Unmanned aerial vehicles (UAV) are extremely versatile and capable of performing functions in the most diverse elds of action. Its applicability has increased in many sectors, from military drones to agricultural drones all the way to freight drones. UAVs are composed of several subsystems, some of which bene t from the capability of transmitting large amounts of information, for example to a base station. The high mobility coupled with the variability of the channel used in the transmission of information requires the adoption of appropriate modulation techniques. In this dissertation the development of a transmitter based on SDR systems is presented. These systems have the advantages of being recon gurable, small and e cient. These last two characteristics are very important for aerial devices. The developed transceiver chain is adapted from the IEEE 802.11p protocol currently used in vehicular communications where the inherent problems in highly mobile communications and with air as channel transmission are mitigated. This protocol is based on OFDM that provides immunity to channel variability and implements methods of active error correction. The transmitter was designed in order to develop a transceiver exible in terms of operating frequency, bandwidth and the type of information allowed, maintaining a small size, an important feature for systems implemented in UAVs.
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Dahlman, Elsa, and Karin Lagrelius. "A Game of Drones : Cyber Security in UAVs." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259295.

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As Unmanned Aerial Vehicles (UAVs) are getting more popular and their area of use is expanding rapidly, the security aspect becomes important to investigate. This thesis is a systematic literature review that examines which type of cyber attacks are most common among attacks directed at civilian use UAVs and what consequences they bring. All cyber attacks presented in the report are categorized using the STRIDE threat model, which risk they pose and what equipment is required for the adversary to follow through with the attack. The findings are that Spoofing and Denial of Service attacks are the most common cyber attack types against UAVs and that hijacking and crashing are the most common results of the attacks. No equipment that is difficult to access is required for either of the attack types in most cases, making the result an indicator that the security state for civilian use UAVs today needs improving.
Obemannade luftburna farkoster (OLF) blir mer vanliga allteftersom deras användningsområde utökas, vilket innebär att cybersäkerhetsaspekten behöver studeras. Detta arbete är en systematisk litteraturstudie som undersöker vilka typer av cyberattacker riktade mot drönare som är vanligast och vilka risker de medför. Attackerna i rapporten är kategoriserade med hjälp av metoden STRIDE samt efter vilka mål attackerna haft och vilken utrustning som krävs. Resultatet är att Spoofing och Denial of Service-attacker är vanligast och att de medför att attackeraren kan kapa eller krascha drönaren. Ingen svåråtkomlig utrustning krävs för någon av dessa attacktyper vilket indikerar att säkerhetsläget för civila drönare behöver förbättras.
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Rautu, Dorin Marian. "Déploiement temporaire d'une infrastructure de communication à base de drones." Thesis, Toulouse, INPT, 2019. http://www.theses.fr/2019INPT0086.

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Dernièrement, l'utilisation des drones est en pleine expansion dans multiples domaines, par exemple récemment la livraison des colis ou des repas. Parallèlement, les stations de base mobiles sont incapables parfois de satisfaire les exigences des utilisateurs, surtout en cas d'événements imprévus, tels que les catastrophes, les rassemblements ou les rencontres sportives. Une solution prometteuse consiste à profiter de la disponibilité des drones pour pallier les déficiences des réseaux cellulaires en les aidant à satisfaire les demandes par l'extension de la couverture à l'aide des points d'accès installés à bord des drones. Bien que les drones offrent un déploiement rapide, le placement devient l'un des problèmes clés. Dans ce manuscrit nous nous intéressons à ce type de réseaux et au placement des drones en proposant une méthode de déploiement fondée sur une analogie avec la loi de Coulomb, les utilisateurs et les drones agissant comme des charges électriques, les drones étant attirés par les utilisateurs
Recently, the use of drones is booming in many areas, newly in parcel or meal shippement. Analogue to this deployment,the flexibility and resilience requirements of cellular networks are not always met by terrestrial base stations, mainly in the case of unforeseen events, such as natural disasters, gatherings or sports events. One promising solution is to benefit from the availability of drones in order to fulfill the temporary failures of cellular networks by helping them to meet the demands by extending the coverage using the access points installed onboard the UAVs. Although drones offer rapid deployment, the placement becomes one of the key issues. In this thesis we focus on this type of networks and in the drone placement by proposing a deployment method based on an analogy with Coulomb's law, the users and the drones acting like electric charges, the drones being attracted by users
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Theodorakopoulos, Panagiotis. "Suivi de cibles terrestres par des drones." Phd thesis, Université Paul Sabatier - Toulouse III, 2009. http://tel.archives-ouvertes.fr/tel-00392776.

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La plupart des applications des avions drones sont liées à l'observation d'événements au sol. En particulier, les suivi de cibles terrestres mobiles, qu'elles soient statiques, lentes ou rapides, est une tâche essentielle pour un drone. L'objectif global de la thèse est de proposer des méthodes qui permettent à un drone de suivre une cible terrestre, dans les conditions suivantes: - Le drone est de type voilure fixe équipé d'une caméra monoculaire. - Présence d'obstacles qui occultent la visibilité de zones au sol. - Existence de zones d'exclusion aérienne qui limitent le mouvement aérien. - Restrictions sur le champ de vue du capteur qui assure le suivi (caméra) - Différents comportements de la cible : elle peut évoluer librement ou sous contraintes dynamiques (cas d'une voiture par exemple), et peut être neutre ou évasive~: dans ce dernier cas, elle peut exploiter la présence d'obstacles pour éviter d'être perçue par le drone. Trois approches pour aborder ce problème sont proposées dans la thèse : - Une méthode basée aux lois de contrôle et de la navigation, - Une méthode basée sur la prédiction des déplacements de la cible, - Et une approche basée sur la théorie des jeux. Des résultats obtenus par des simulations réalistes et avec un drone sont présentés, pour évaluer et comparer les avantages et inconvénients de chacune des approches. Des extensions au cas "multi-drones" sont aussi proposées.
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Plinval, Henry de. "Commande référencée vision pour drones à décollages et atterrissages verticaux." Thesis, Toulouse, ISAE, 2014. http://www.theses.fr/2014ESAE0002/document.

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La miniaturisation des calculateurs a permis le développement des drones, engins volants capable de se déplacer de façon autonome et de rendre des services, comme se rendre clans des lieux peu accessibles ou remplacer l'homme dans des missions pénibles. Un enjeu essentiel dans ce cadre est celui de l'information qu'ils doivent utiliser pour se déplacer, et donc des capteurs à exploiter pour obtenir cette information. Or nombre de ces capteurs présentent des inconvénients (risques de brouillage ou de masquage en particulier). L'utilisation d'une caméra vidéo dans ce contexte offre une perspective intéressante. L'objet de cette thèse était l'étude de l'utilisation d'une telle caméra dans un contexte capteur minimaliste: essentiellement l'utilisation des données visuelles et inertielles. Elle a porté sur le développement de lois de commande offrant au système ainsi bouclé des propriétés de stabilité et de robustesse. En particulier, une des difficultés majeures abordées vient de la connaissance très limitée de l'environnement dans lequel le drone évolue. La thèse a tout d'abord étudié le problème de stabilisation du drone sous l'hypothèse de petits déplacements (hypothèse de linéarité). Dans un second temps, on a montré comment relâcher l'hypothèse de petits déplacements via la synthèse de commandes non linéaires. Le cas du suivi de trajectoire a ensuite été considéré, en s'appuyant sur la définition d'un cadre générique de mesure d'erreur de position par rapport à un point de référence inconnu. Enfin, la validation expérimentale de ces résultats a été entamée pendant la thèse, et a permis de valider bon nombre d'étapes et de défis associés à leur mise en œuvre en conditions réelles. La thèse se conclut par des perspectives pour poursuivre les travaux
The computers miniaturization has paved the way for the conception of Unmanned Aerial vehicles - "UAVs"- that is: flying vehicles embedding computers to make them partially or fully automated for such missions as e.g. cluttered environments exploration or replacement of humanly piloted vehicles for hazardous or painful missions. A key challenge for the design of such vehicles is that of the information they need to find in order to move, and, thus, the sensors to be used in order to get such information. A number of such sensors have flaws (e.g. the risk of being jammed). In this context, the use of a videocamera offers interesting prospectives. The goal of this PhD work was to study the use of such a videocamera in a minimal sensors setting: essentially the use of visual and inertial data. The work has been focused on the development of control laws offering the closed loop system stability and robustness properties. In particular, one of the major difficulties we faced came from the limited knowledge of the UAV environment. First we have studied this question under a small displacements assumption (linearity assumption). A control law has been defined, which took performance criteria into account. Second, we have showed how the small displacements assumption could be given up through nonlinear control design. The case of a trajectory following has then been considered, with the use of a generic error vector modelling with respect to an unknown reference point. Finally, an experimental validation of this work has been started and helped validate a number of steps and challenges associated to real conditions experiments. The work was concluded with prospectives for future work
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Strubel, David. "Couverture d'un chemin planifié composé de points de passage à optimiser avec des algorithmes évolutionnaires." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK015/document.

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L'objectif de cette thèse est d'optimiser la couverture visuelle d'une zone vaste et complexe de façon à ce que ses images puissent composer une mosaïque à partir d'un drone.Pour trouver les meilleurs points de passage, deux méthodes ont été étudiées : l'optimisation par essaims particulaires (PSO) et les algorithmes génétiques (GA).Notre étude a prouvé que le GA est la méthode offrant de meilleures performances en raison de ses performances et de sa capacité d'adaptation.Après avoir réalisé des expériences pour comparer les algorithmes, une hybridation de GA et PSO a été réalisée et étudiée.La méthode proposée peut être appliquée sur de grandes surfaces de formes irrégulières, comme les terrains agricoles, et fournit un nombre réduit de points de passage qui doivent être survolés par un véhicule aérien de type drone (UAV).Des essais ont été réalisés pour simuler le vol d'un drone dans un environnement intérieur, les images générées pendant la simulation sont utilisées pour représenter une image de la totalité de l'environnement sous la forme d'une mosaïque.La méthode proposée est également appliquée dans de vastes zones extérieures. Des images satellitaires sont utilisées pour visualiser la couverture du trajet qui a été planifié.Les expériences valident l'efficacité de la méthode proposée pour trouver le nombre et la position des points de passage
The goal of this paper is to optimize the coverage of a vast and complexarea such that its mosaic image can be created. To find the best waypoints, twomethods have been investigated: Particle Swarm Optimization (PSO) and GeneticAlgorithms (GA). Our investigation proved that GA is a better method due toits performance and adaptability. After having performed experiments to compare the algorithms, a hybridization of GA and PSO is investigated.The proposed method can be applied on large areas with irregular shapes, such as agricultural fields, and it provides a minimized number of waypoints that must be flown over by the Unmanned Aerial Vehicle (UAV). The experiments were made to simulate the flight of the UAV in an indoor environment, and the images generated during the simulated flight have been used to show the final mosaic. The proposed method is also applied in the vast outdoor area using satellite images to visualize the final result of the coverage path planning. The experiments validate the efficiency of the proposed method for finding the number and the poses of the waypoints. The solution proposed to approach the problem of coverage path planning is rather different than the stateof the art by dividing the Coverage Path Planning on independent sub-problems to optimize and then using GA and later on GAPSO
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Costa, Andreia Graça da. "Sistema de rádio comunicações para UAV." Master's thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/15968.

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Mestrado em Engenharia Eletrónica e Telecomunicações
Os veículos aéreos não tripulados, mais conhecidos por drones, têm tomado atualmente uma posição importante na sociedade. Para além da sua importância no meio militar, têm sido cada vez mais utilizados para meios comerciais uma vez que o seu custo é relativamente baixo e podem ser utilizados para inúmeras aplicações. Devido à sua importância em missões de salvamento, reconhecimento de terreno e até mesmo de ataque, é fundamental uma boa comunicação entre a aeronave e a estação terrestre. Sendo a antena um dos principais elementos do sistema de comunicação, esta dissertação centrou-se no desenvolvimento de uma agregado de antenas a operar à frequência de 2.45GHz. Pretende-se que este agregado apresente polarização circular direita bem como um ganho e largura de banda elevados. Com o objetivo de se obter uma comunicação mais eficiente entre a aeronave e a estação terrestre, o agregado permitirá o redirecionamento do feixe principal do diagrama de radiação. Para tal, serão analisadas três abordagens distintas recorrendo a linhas de atraso e switches, permitindo que seja efetuado beamforming.
Unmanned aerial vehicles, better known as drones, have now taken an important position in society. Apart from their importance in the military field, they have been increasingly used for commercial area, since its low cost and can be used for different applications. Because of its importance in rescue missions, recognition of land and even attack, is essential a good communication between the drone and the ground station. The antenna is one of the main elements in a communication system, so this dissertation is focused on the development an antenna array for a frequency operation of 2.45GHz. It is intended that this antenna array to present right hand circular polarization and a high gain and wide band. In order to obtain a more eficient communication between the drone and the ground station, the antenna array will allow beamforming. For this purpose, three different approaches will be analyzed using delay lines and switches.
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Книги з теми "Drones (UAV)"

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Learn to fly a drone: An inter-active beginner's guide on how to fly a UAS. Lexington, KY: [CreateSpace], 2015.

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Carbonaro, M., and Roland Decuypere. Recent developments in unmanned aircraft systems: (UAS, including UAV and MAV) : April 4-8, 2011. Rhode Saint Genèse, Belgium: Von Karman Institute for Fluid Dynamics, 2011.

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3

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

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4

Fahlstrom, Paul Gerin. Introduction to UAV systems. 4th ed. Hoboken, NJ: John Wiley & Sons, 2012.

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5

Leonard, Robert S. Global Hawk and Darkstar.: HAE UAV ACTD program description and comparative analysis. Santa Monica, CA: RAND, 2002.

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Drezner, Jeffrey A. Global Hawk and Darkstar.: Flight test in the HAE UAV ACTD program. Santa Monica, CA: RAND, 2002.

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7

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

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

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9

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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10

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

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Частини книг з теми "Drones (UAV)"

1

Al-Turjman, Fadi, and Jehad M. Hamamreh. "Security in UAV/Drone Communications." In Drones in IoT-enabled Spaces, 189–205. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019. |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429294327-10.

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2

Goyal, Somya. "Deploying Unmanned Aerial Vehicle (UAV) for Disaster Relief Management." In The Internet Of Drones, 383–99. Boca Raton: Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003277491-18.

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Kumar, P. Praveen, T. Ananth Kumar, Pavithra Muthu, Rajmohan Rajendirane, and R. Dinesh Jackson Samuel. "Security Analysis of UAV Communication Protocols: Solutions, Prospects, and Encounters." In The Internet Of Drones, 167–90. Boca Raton: Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003277491-9.

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Al-Turjman, Fadi, Sinem Alturjman, and Jehad Hamamreh. "Grid-Based UAV Placement in Intelligent Transportation Systems." In Drones in IoT-enabled Spaces, 119–37. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019. |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429294327-7.

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Chmaj, Grzegorz, and Henry Selvaraj. "Distributed Processing Applications for UAV/drones: A Survey." In Progress in Systems Engineering, 449–54. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08422-0_66.

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Conrad, Jan, Dieter Wallach, Fabian Kalweit, Patrick Lindel, and Stefan Templin. "Game of Drones: How to Control a UAV?" In Lecture Notes in Computer Science, 424–32. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58077-7_34.

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Kaivosoja, Jere. "Future Possibilities and Challenges for UAV-Based Imaging Development in Smart Farming." In New Developments and Environmental Applications of Drones, 109–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77860-6_6.

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Gomes, Michael John. "UAV/Drones as Useful Tools in the Agricultural Production Cycle." In Putting Tradition into Practice: Heritage, Place and Design, 1537–44. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57937-5_160.

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Czachórski, Tadeusz, Erol Gelenbe, Godlove Suila Kuaban, and Dariusz Marek. "Optimizing Energy Usage for an Electric Drone." In Communications in Computer and Information Science, 61–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09357-9_6.

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AbstractUnmanned Aerial Vehicles (UAVs) are rapidly gaining popularity in a wide variety of applications, e.g., agriculture, health care, environmental management, supply chains, law enforcement, surveillance, and photography. Dones are often powered by batteries, making energy a critical resource that must be optimised during the mission of the drone. The duration of a done’s mission depends on the amount of energy required to perform some manoeuvering actions (takeoff, level flight, hovering, and landing), the energy required to power the ICT modules in the drone, the drone’s speed, payload, and the wind. In this paper, we present a model that minimizes the energy consumption of a low power drone and maximizes the time required to completely drain the drone’s battery and ensure the safe landing of the drone.
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Grubesic, Tony H., and Jake R. Nelson. "Drone Futures." In UAVs and Urban Spatial Analysis, 189–200. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35865-5_10.

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Тези доповідей конференцій з теми "Drones (UAV)"

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Ellithy, Noor Khaled, Orob Kifah Balaawi, and Alaa Khaled Alnakeeb. "Drones for Agriculture." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0249.

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Taking measurements for agriculture purposes is a challenge that this project tackles. A UAV and some sensors are being used to monitor a big field. The target of this project is to design a fully autonomous system that covers the area of planted land. The system collects information and sends what is collected directly to the base station. Furthermore, the design is divided into two parts: plane design and ground design. The plane design includes a temperature sensor, a CO2 sensor, a NoIR camera, a regular camera and a 4G dongle. The ground design, however, has one soil moisture sensor, one H2S sensor and a GSM module. The plane takes a trip around the field to record real time data and transmits, while the on-ground black box sends data to the base station. Finally, data is analysed, and reports are sent to the base station and the mobile application created for this cause. The plane has carried tests in the airport in Al-Khor city. The tests were to make sure the UAV flies properly and they were successful.
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Sönmez, Maria, Cristina-Elisabeta Pelin, Mihai Georgescu, George Pelin, Maria Daniela Stelescu, Mihaela Nituica (Vilsan), George Stoian, Laurentia Alexandrescu, and Dana Gurau. "Unmanned Aerial Vehicles – Classification, Types of Composite Materials Used in Their Structure and Applications." In The 9th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2022. http://dx.doi.org/10.24264/icams-2022.i.11.

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Unmanned aerial vehicles (UAV) or drones, due to their versatility can be used in a wide range of applications, from army missions to industrial ones. With all these capabilities, the widespread use of drones in smart cities is limited, due to problems and concerns related to safety (their crash for technical reasons, collision in the air with other planes, extreme natural weather), confidentiality (hackers can use malicious applications to exploit and obtain personal data / profiles of people using the wireless location method) and security (thanks to the technology inside the drone-GPS, Wi-Fi that could be hacked/destroyed by attackers). Currently there are many types of drones classified by size, weight, altitude, endurance, landing method (VTOL, HTOL), etc. However, these parameters vary depending on the application of the drone. The performance of drones is focused on the type of built-in electronics but also on the material used to make it. All modern drones are equipped with a series of sensors and other communication systems, increasing inevitably the total weight and reducing the flight time. Therefore, weight reduction is a vital parameter to build the drone's body/structure (generally using thermosetting fibers and resins) without compromising their resistance. Thus, high strength-to-weight ratio, facilitates maneuverability, reduces energy consumption, increases the ability to carry more payload, flight time, etc. The use of composites compared to aluminum reduces weight by 15-45%, increases corrosion, fatigue, impact resistance, reduces noise and vibrations. The composites most used for manufacturing the structure of UAVs (fuselage, wing, landing gear) are: polymers reinforced with carbon fibers (CFRP), polymers reinforced with fiberglass (GFRP), boron and aramid fibers.
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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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Hashemi, Seyed Reza, Roja Esmaeeli, Haniph Aliniagerdroudbari, Muapper Alhadri, Hammad Alshammari, Ajay Mahajan, and Siamak Farhad. "New Intelligent Battery Management System for Drones." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10479.

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Abstract Drones or Unmanned Aerial Vehicles (UAV) are the aircraft controlled remotely by radio waves or autonomously and can fly without a pilot and passengers. Demands for drones with long flight times are increasing significantly in the personal and commercial applications. One of the main issues about drones is their power management. However, these devices are powered by a high energy density lithium battery, but a flight time range could be about 20–40 min. Increasing the battery energy storage capacity to achieve more flight time is not usually a good idea due to the additional weight in drones. In order to solve this issue, an Intelligent Battery Management System (IBMS) is proposed to predict the maximum available energy of the battery pack to make the best decision for finding the closest charging station depending on different weather conditions. In this study, lithium-ion battery with lithium titanite oxide (LTO) anode, as a fast charging and fast discharging battery, is used as the drone power supply. The proposed IBMS can not only increase the performance and life of the battery system but also it can estimate the battery cells state of charge (SOC) based on a system identification method. Results show that the proposed system has an accurate estimation of the maximum available energy, and therefore accurate flight time prediction to find the best recharging node for the drone.
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IBRAHIM, CHRISTINE-OMEIRA, JONAS SIMON, LENNART T FOX, JOCHEN MOLL, and MARK-FELIX SCHÜTZ. "VIBRATION-BASED STRUCTURAL HEALTH MONITORING OF DELIVERY DRONES: ANALYSIS OF PRELIMINARY EXPERIMENTS." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36242.

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The development of unmanned aerial vehicles (UAV) has progressed very rapidly in recent years and finds many applications in various industrial fields. The technological progress brings serious challenges, especially regarding flight safety, as any unexpected behavior of the drone can lead to serious consequences. The autonomous usage of delivery drones requires a high reliability especially in urban areas. This motivates the development and application of structural health monitoring (SHM) systems. In this work, we present and discuss the results of preliminary experiments of a vibration-based SHM system for delivery drones. In particular, we focus on the hover phase during take-off in which the airworthiness can be assessed within seconds. For this purpose, the drone is first launched and a measurement is made using acceleration sensors. The measurement data is evaluated using three different metrics one of which is the Nullspace-Based Fault Detection (NSFD) method. It was demonstrated here that added masses can be detected through the analysis of mechanical vibrations.
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Bondi, Elizabeth, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, and Milind Tambe. "Near Real-Time Detection of Poachers from Drones in AirSim." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/847.

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The unrelenting threat of poaching has led to increased development of new technologies to combat it. One such example is the use of thermal infrared cameras mounted on unmanned aerial vehicles (UAVs or drones) to spot poachers at night and report them to park rangers before they are able to harm any animals. However, monitoring the live video stream from these conservation UAVs all night is an arduous task. Therefore, we discuss SPOT (Systematic Poacher deTector), a novel application that augments conservation drones with the ability to automatically detect poachers and animals in near real time. SPOT illustrates the feasibility of building upon state-of-the-art AI techniques, such as Faster RCNN, to address the challenges of automatically detecting animals and poachers in infrared images. This paper reports (i) the design of SPOT, (ii) efficient processing techniques to ensure usability in the field, (iii) evaluation of SPOT based on historical videos and a real-world test run by the end-users, Air Shepherd, in the field, and (iv) the use of AirSim for live demonstration of SPOT. The promising results from a field test have led to a plan for larger-scale deployment in a national park in southern Africa. While SPOT is developed for conservation drones, its design and novel techniques have wider application for automated detection from UAV videos.
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Spinu, Alina-Daiana. "OPPORTUNITY OF USING UAV/DRONES FOR COASTAL SURVEILLANCE OF ROMANIAN LITTORAL." In 16th International Multidisciplinary Scientific GeoConference SGEM2016. Stef92 Technology, 2016. http://dx.doi.org/10.5593/sgem2016/b23/s11.045.

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NICOLAE, Ovidiu-Petruț, Dragoș-Iulian PAVEL, and Cătălin PAVEL. "UAV APPLICATION IN HIGHRISE BUILDING FIRES." In SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE. Publishing House of “Henri Coanda” Air Force Academy, 2022. http://dx.doi.org/10.19062/2247-3173.2021.22.17.

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With the development of society, tall and very tall buildings became a common form of architecture. To extinguish the fires that occur in these types of buildings, special vehicles and newer drones are needed, the latter facilitating a much more effective reconnaissance, a much more successful intervention and the elimination of dangers (requesting and exposing crews to work at height) . Saving the lives of people and animals, respectively material goods are the main objectives that firefighters must meet in any type of intervention.
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Ben Moshe, Boaz, Nir Shvalb, Jonathan Baadani, Itay Nagar, and Harel Levy. "Indoor positioning and navigation for micro UAV drones — Work in progress." In 2012 IEEE 27th Convention of Electrical & Electronics Engineers in Israel (IEEEI 2012). IEEE, 2012. http://dx.doi.org/10.1109/eeei.2012.6377021.

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Rumba, Rudolfs, and Agris Nikitenko. "The wild west of drones: a review on autonomous- UAV traffic-management." In 2020 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2020. http://dx.doi.org/10.1109/icuas48674.2020.9214031.

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Звіти організацій з теми "Drones (UAV)"

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Borràs Castelló, Fernando, and Joaquín Hopfenblatt Hours. Drones, el cambio de paradigma al alcance de toda la minería. Ilustre Colegio Oficial de Geólogos, October 2021. http://dx.doi.org/10.21028/fbc.2021.10.08.

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Uno de los últimos elementos que han irrumpido en el cambio a nivel tecnológico de manera contundente y cada vez más ruidosa son los (unmanned aerial vehicle – UAV) más conocidos como drones y no solo por las bellas imágenes que nos entregan. Sin ir más lejos, estos días no paramos de ver en la Palma a diferentes equipos de pilotos de drones como los de los del IGME que están marcando la diferencia en el estudio, monitoreo y toma de decisiones respecto a la erupción del volcán Cumbre Vieja, mediante adquisición de todo tipo de datos a partir de los drones que sin lugar a duda están minimizando los riesgos derivados de la actividad volcánica. La geología en gran parte se basa en la observación y para ello nos valemos de diferentes escalas de observación o perspectivas que nos aportan información muy importante y que combinadas nos permiten presentar teorías con una robustez superior. Así pues, los drones son la nueva escala de observación o perspectiva, una perspectiva que va a influir antes, durante y después del trabajo de campo y que por tanto tiene unas implicaciones de gran magnitud en como entendemos y trabajamos el terreno.
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Yue, Yunfeng. The Value of Unmanned Aerial Systems for Power Utilities in Developing Asia. Asian Development Bank, July 2021. http://dx.doi.org/10.22617/wps210213-2.

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Unmanned aerial systems (UAS) such as drones are increasingly being used to automate the planning, building, and maintenance of energy facilities around the world. The effectiveness of UAS and digital technologies are transforming energy sector operations to be faster, safer, and more cost-efficient. This working paper introduces UAS and discusses the latest technological developments as well as current applications. It also assesses the feasibility of UAS adoption in developing Asia’s power sector.
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Eckman, Stephanie, Joe Eyerman, and Dorota Temple. Unmanned Aircraft Systems Can Improve Survey Data Collection. RTI Press, June 2018. http://dx.doi.org/10.3768/rtipress.2018.rb.0018.1806.

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Unmanned aircraft systems (UAS), or drones, will disrupt many industries in the next 5 to 10 years. In this research brief, we speculate about how UAS could be used in survey data collection to make survey data more accurate and/or less costly. We put forth three ideas for how UAS can be used to improve surveys in the future to (1) supplement survey data with UAS photo and sensor data; (2) deliver survey hardware to selected respondents, and (3) detect and enumerate housing units for sample selection.
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McQueen, Bob, ed. Unsettled Issues Concerning Urban Air Mobility Infrastructure. SAE International, November 2021. http://dx.doi.org/10.4271/epr2021025.

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Urban air mobility (UAM) refers to urban transportation systems that move people by air. UAM offers the potential for reducing traffic congestion in cities and providing an integrated approach to urban mobility. With the emergence of electric vertical takeoff and landing (eVTOL) aircraft, drone technology, and the possibility of automated aircraft, interest in this topic has grown considerably for private sector solution providers—including aerospace and technology companies—as well as urban planners and transportation professionals. Unsettled Issues Concerning Urban Air Mobility Infrastructure discusses the infrastructure requirements to effectively integrate UAM services into the overarching urban transportation system to enable multimodal trips and complete origin to destination travel.
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Fernández Lozano, Javier. La Tierra a vista de pájaro: uso de drones (UAVs) para el estudio y difusión de la Geología. ILUSTRE COLEGIO OFICIAL DE GEOLOGOS, February 2017. http://dx.doi.org/10.21028/jfl.2017.02.02.

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Suir, Glenn, Christina Saltus, Charles Sasser, J. Harris, Molly Reif, Rodrigo Diaz, and Gabe Giffin. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42201.

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Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Suir, Glenn, Christina Saltus, Charles Sasser, J. Harris, Molly Reif, Rodrigo Diaz, and Gabe Giffin. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42201.

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Анотація:
Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Work Guidelines - Operating an Unmanned Aerial Vehicle (UAV or Drone). Marshfield Clinic, 2018. http://dx.doi.org/10.21636/nfmc.nccrahs.youthwork.drones.g.2018.

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