Journal articles on the topic 'Drones (UAV)'
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1
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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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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Ge, Changfeng, Kyle Dunno, Mukul Anand Singh, Long Yuan, and Li-Xin Lu. "Development of a Drone’s Vibration, Shock, and Atmospheric Profiles." Applied Sciences 11, no. 11 (June 2, 2021): 5176. http://dx.doi.org/10.3390/app11115176.
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Technological advances in unmanned aerial vehicles (UAVs) have made it possible to employ drone deliveries for packaged products, but currently no standards of practice are available to qualify packaged products traveling through this distribution channel. This research proposes a methodology to collect field data from a UAV to develop simulation techniques for use with package testing equipment. This project utilized data recorders to measure the vibration, shock, and atmospheric field data on two models of the DJI drones. The root mean square G value (Grms), the power spectral density (PSD), maximum G-values and shock response spectrum, and atmospheric data were reported in this study. The study found that the general shape of the PSD profile of the drones differed from the PSD air profiles of the aircraft. The overall recorded Grms levels of the drones were also significantly higher than those of the published air profile of the aircraft. Moreover, the study found that the drone’s in-flight vibration intensities in the horizontal level were consistently higher than those in the vertical direction. The major sources of vibration and shock in both drones’ models originated from the two-propeller rotations. Shocks recorded during the flight reached 14 G, took place in the horizontal plane with the drone accelerating as opposed to the vertical plane where the drone is landing.
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Mani, Prashant, Pankaj Singh, Abhishek Singhal, and Apoorv Katiyar. "Design and Simulation of Smart Communication System for Unmanned Arial Vehicles." International Journal of Computers and Communications 15 (November 29, 2021): 89–94. http://dx.doi.org/10.46300/91013.2021.15.15.
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In recent years, the use of drones has drastically increased as the evolution of drone use in commercial sectors and reduced costs of the hardware. Earlier drone services were mostly used for military operations but nowadays the Unmanned Arial Vehicles (UAV) system is very advanced and its applications are not limited to military operations. The recent years have also witnessed a network evolution of UAVs from single ground to air network to multi-UAV network systems along with usage of wireless public networks like LTE which can act as UAV communication channel. In the proposed project, a communication system used in the UAS system is simulated to analyze the UAV behavior under different conditions with respect to mission planning and the communication networks used. A comprehensive study is done on communication networks used in controlling UAVs. For a safer approach, the proposed model is simulated using available software instead of hardware implementations. ArduPilot SITL, MAVProxy and Mission Planner are used to simulate the UAV system virtually. Whereas network simulations of Wi-Fi and LTE network are done with the help of NS-3 on a separate platform. Various network parameters like network delay, throughput, etc., are graphically represented.
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Luo, Haoxiang, Shiyuan Liu, Shizhong Xu, and Jian Luo. "LECast: A Low-Energy-Consumption Broadcast Protocol for UAV Blockchain Networks." Drones 7, no. 2 (January 20, 2023): 76. http://dx.doi.org/10.3390/drones7020076.
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With the continuous development of communication technology, drones are playing an important role in many fields, such as power transmission line inspection and agricultural pesticide spraying. In order to protect the data privacy and communication security of drones, many experts are considering blockchain as its enabling technology. However, due to their small size and limited power storage, drones cannot support energy-intensive blockchain applications. In addition, the future 6G communications need to implement an important key performance indicator, namely extremely low-power communications (ELPCs). As a consequence, research into green blockchain is becoming more and more popular. The broadcast of the blockchain is one of the most energy-intensive parts because it entails flooding and there are a lot of unnecessary communication processes. Therefore, in order to make blockchain more suitable for ELPC requirements in 6G communications and unmanned aerial vehicle (UAV) networks, we took the blockchain broadcast as an improvement candidate and designed LECast, a low-energy-consumption protocol. LECast first analyzes the energy consumption model of the communication between two drones and constructs the shortest-path broadcast tree (SPB Tree) for the UAV networks to minimize energy consumption. Meanwhile, to make the sending drone address the receiving drone in a more convenient way, we proposed an extended Huffman coding (EHC) scheme to name the drones. Furthermore, the other issues with the broadcast tree are reliability and security. When a channel fails, subsequent drones cannot smoothly receive the transaction or block data. As a result, we introduced multichannel transmission with splitting data (MTSD); that is, the transaction or block data are divided into segments and transmitted in parallel multiple times over multiple channels. Finally, through the analysis and simulation of LECast in terms of energy consumption, latency, throughput, reliability, security, and coverage rate, the advantages of LECast were confirmed, which could meet the requirements of ELPCs and be well applied to UAV networks.
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Kurbanov, Rashid K., and Olga M. Zakharova. "Recommendations for UAV Pre-Flight Preparation." Elektrotekhnologii i elektrooborudovanie v APK 67, no. 1 (March 28, 2020): 93–98. http://dx.doi.org/10.22314/2658-4859-2020-67-1-93-98.
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The current level of technical development and accessibility allows to consider unmanned aerial vehicles as a reliable tool for operational monitoring of agricultural territories. Drones are able to observe territories that are inaccessible to helicopters and small aircrafts. The use of drones is associated with certain risks that affect flight safety. (Research purpose) To make recommendations on the preflight preparation of unmanned aerial vehicles. (Materials and methods) The authors used scientific literature, survey materials of domestic and foreign authors, websites of UAV manufacturers. (Results and discussion) The authors examined the issues of a drone registration, key parameters that influence data collection and ensure safe monitoring: operation and storage of drone batteries, visual inspection of a drone, sensors calibration, setting the “return home” point and checking the signal GPS/GLONASS communication quality, test flight, restricted areas and weather conditions. (Conclusions) It was established that UAV pre-flight preparation was an important stage in monitoring agricultural fields, which included a number of operations that were carried out with the aim of ensuring the safety of the operator and the unmanned aerial vehicle, as well as to obtain high-quality aerial photography materials. The authors determined that an unmanned aerial vehicle weighing from 250 grams to 30 kilograms was a object to be registered. They identified the need for specialized software, compliance with the rules of operation and storage of batteries, a thorough visual inspection of the drone, calibration of the compass; checking the setting of the return point to the beginning of the route, the GPS/GLONASS signal level, conducting a test flight, monitoring the readings of the inertial measuring unit and weather conditions, checking the zone of prohibited flights.
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Luo, Dexuan, Ruixuan Zhang, Siying Wang, and Qun Ding. "Design of UAV Level Control Method." Modern Electronic Technology 3, no. 2 (March 12, 2020): 1. http://dx.doi.org/10.26549/met.v3i2.1824.
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Starting from the current problems of drones, this paper aims to find solutions that are suitable for sustainable development. This paper mainly introduces a method of adjusting the control authority of UAV, including managing the process, obtaining the operation of maneuvering performance and controlling the accuracy rate. This method enhances the fault tolerance of UAV flight control, improves the high precision of UAV flight control, and avoids the occurrence of accidents caused by improper control, such as “drone damage” or “personal injury to others”.
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Valentino, Rico, Woo-Sung Jung, and Young-Bae Ko. "A Design and Simulation of the Opportunistic Computation Offloading with Learning-Based Prediction for Unmanned Aerial Vehicle (UAV) Clustering Networks." Sensors 18, no. 11 (November 2, 2018): 3751. http://dx.doi.org/10.3390/s18113751.
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Drones have recently become extremely popular, especially in military and civilian applications. Examples of drone utilization include reconnaissance, surveillance, and packet delivery. As time has passed, drones’ tasks have become larger and more complex. As a result, swarms or clusters of drones are preferred, because they offer more coverage, flexibility, and reliability. However, drone systems have limited computing power and energy resources, which means that sometimes it is difficult for drones to finish their tasks on schedule. A solution to this is required so that drone clusters can complete their work faster. One possible solution is an offloading scheme between drone clusters. In this study, we propose an opportunistic computational offloading system, which allows for a drone cluster with a high intensity task to borrow computing resources opportunistically from other nearby drone clusters. We design an artificial neural network-based response time prediction module for deciding whether it is faster to finish tasks by offloading them to other drone clusters. The offloading scheme is conducted only if the predicted offloading response time is smaller than the local computing time. Through simulation results, we show that our proposed scheme can decrease the response time of drone clusters through an opportunistic offloading process.
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Fuhrmann, Matthew, and Michael C. Horowitz. "Droning On: Explaining the Proliferation of Unmanned Aerial Vehicles." International Organization 71, no. 2 (2017): 397–418. http://dx.doi.org/10.1017/s0020818317000121.
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AbstractUnmanned Aerial Vehicles (UAVs), more popularly known as “drones,” have become emblematic of twenty-first century military technologies but scholars have yet to convincingly explain the drivers of UAV proliferation. Using the first systematic data set of UAV proliferation, this research note examines the spread of UAVs in the context of scholarly debates about interests versus capacity in explaining policy adoption. The results yield important insights for both IR scholarship and the policy-making community. While countries that experience security threats—including territorial disputes and terrorism—are more likely to seek UAVs, drone proliferation is not simply a function of the threat environment. We find evidence that democracies and autocracies are more likely than mixed regimes to develop armed UAV programs, and suggest that autocracies and democracies have their own unique incentives to acquire this technology. Moreover, supply-side factors play a role in the UAV proliferation process: a state's technological capacity is a strong predictor of whether it will obtain the most sophisticated UAVs. The theories and evidence we present challenge emerging views about UAV proliferation and shed useful light on how and why drones spread.
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Robakowska, Marlena, Daniel Ślęzak, Anna Tyrańska-Fobke, Joanna Nowak, Piotr Robakowski, Przemysław Żuratyński, Jerzy Ładny, and Klaudiusz Nadolny. "Operational and Financial Considerations of Using Drones for Medical Support of Mass Events in Poland." Disaster Medicine and Public Health Preparedness 13, no. 3 (November 8, 2018): 527–32. http://dx.doi.org/10.1017/dmp.2018.106.
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ABSTRACTObjectiveThe implementation of drones in the medical security system requires a proper planning of the cooperation of different services, dividing the area into sectors, assessing potential risks, and other factors. This study refers to the cost analysis of using drones in the medical support of mass events. The aim of this research is to analyze the costs of unmanned aerial vehicle (UAV) implementation in the mass event medical support system.MethodsThe description includes purchase and maintenance costs of UAVs. The analysis also involves ways of raising funds for projects related to the UAV sector. Apart from the financial aspect, staff and drone operator training issues are the subjects of this analysis as well.ResultsThis study is based on a specialist research involving drones and referring to reports on the current situation in Poland and in the world.ConclusionsThe presented funds required for such projects and the way of raising these funds illustrate the range of the project and its requirements. (Disaster Med Public Health Preparedness. 2019;13:527-532)
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Adams, Catherine. "Dual Control: Investigating the Role of Drone (UAV) Operators in TV and Online Journalism." Media and Communication 8, no. 3 (July 27, 2020): 93–100. http://dx.doi.org/10.17645/mac.v8i3.2980.
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At a time when TV and online journalism embraces more moving images filmed from drones than ever before, this article seeks to explore the thoughts and actions of those who produce them. It builds on earlier research into how aerial images impact on the viewer through the lens of ‘quality journalism’ (Adams, 2018). It investigates how drone operators are involved in the journalistic process, what meanings and effects they seek and who controls their work in a market-driven environment. Qualitative analysis was carried out of seventeen in-depth interviews with drone operators, journalists and editors working in UK and around the world. Data revealed a high degree of creative freedom among the operators, a passion for using drones and some desire to immerse and impress the viewer. It showed that aerial images have become paramount in video journalism amid market pressures to find ever more sophisticated and ‘cinematic’ shots. Interviewees felt drones had been “good for journalism,” by providing raw data, exciting new perspectives, context and story-telling techniques and “space to think.” The article explores the significant yet often unplanned contribution to the journalistic process of the drone operator and recommends more is done to increase understanding between journalist and pilot, such as providing training courses designed to teach quality drone journalism, as the media approaches ‘peak drone.’
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Suroso, Indreswari, and Erwhin Irmawan. "Analysis Of Aerial Photography With Drone Type Fixed Wing In Kotabaru, Lampung." Journal of Applied Geospatial Information 2, no. 1 (May 4, 2018): 102–7. http://dx.doi.org/10.30871/jagi.v2i1.738.
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In the world of photography is very closely related to the unmanned aerial vehicle called drones. Drones mounted camera so that the plane is pilot controlled from the mainland. Photography results were seen by the pilot after the drone aircraft landed. Drones are unmanned drones that are controlled remotely. Unmanned Aerial Vehicle (UAV), is a flying machine that operates with remote control by the pilot. Methode for this research are preparation assembly of drone, planning altitude flying, testing on ground, camera of calibration, air capture, result of aerial photos and analysis of result aerial photos. There are two types of drones, multicopter and fixed wing. Fixed wing has an airplane like shape with a wing system. Fixed wing use bettery 4000 mAh . Fixed wing drone in this research used mapping in This drone has a load ability of 1 kg and operational time is used approximately 30 minutes for an areas 20 to 50 hectares with a height of 100 m to 200 m and payload 1 kg above ground level. The aerial photographs in Kotabaru produce excellent aerial photographs that can help mapping the local government in the Kotabaru region.
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Kakaletsis, Efstratios, Charalampos Symeonidis, Maria Tzelepi, Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, and Ioannis Pitas. "Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example." ACM Computing Surveys 54, no. 9 (December 31, 2022): 1–37. http://dx.doi.org/10.1145/3472288.
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Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or “drones”), which are highly useful for both civilian and military applications. Flight safety is a crucial issue in UAV navigation, having to ensure accurate compliance with recently legislated rules and regulations. The emerging use of autonomous drones and UAV swarms raises additional issues, making it necessary to transfuse safety- and regulations-awareness to relevant algorithms and architectures. Computer vision plays a pivotal role in such autonomous functionalities. Although the main aspects of autonomous UAV technologies (e.g., path planning, navigation control, landing control, mapping and localization, target detection/tracking) are already mature and well-covered, ensuring safe flying in the vicinity of crowds, avoidance of passing over persons, or guaranteed emergency landing capabilities in case of malfunctions, are generally treated as an afterthought when designing autonomous UAV platforms for unstructured environments. This fact is reflected in the fragmentary coverage of the above issues in current literature. This overview attempts to remedy this situation, from the point of view of computer vision. It examines the field from multiple aspects, including regulations across the world and relevant current technologies. Finally, since very few attempts have been made so far towards a complete UAV safety flight and landing pipeline, an example computer vision-based UAV flight safety pipeline is introduced, taking into account all issues present in current autonomous drones. The content is relevant to any kind of autonomous drone flight (e.g., for movie/TV production, news-gathering, search and rescue, surveillance, inspection, mapping, wildlife monitoring, crowd monitoring/management), making this a topic of broad interest.
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Yang, Bo, Timothy L. Hawthorne, Margot Hessing-Lewis, Emmett J. Duffy, Luba Y. Reshitnyk, Michael Feinman, and Hunter Searson. "Developing an Introductory UAV/Drone Mapping Training Program for Seagrass Monitoring and Research." Drones 4, no. 4 (November 3, 2020): 70. http://dx.doi.org/10.3390/drones4040070.
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Unoccupied Aerial Vehicles (UAVs), or drone technologies, with their high spatial resolution, temporal flexibility, and ability to repeat photogrammetry, afford a significant advancement in other remote sensing approaches for coastal mapping, habitat monitoring, and environmental management. However, geographical drone mapping and in situ fieldwork often come with a steep learning curve requiring a background in drone operations, Geographic Information Systems (GIS), remote sensing and related analytical techniques. Such a learning curve can be an obstacle for field implementation for researchers, community organizations and citizen scientists wishing to include introductory drone operations into their work. In this study, we develop a comprehensive drone training program for research partners and community members to use cost-effective, consumer-quality drones to engage in introductory drone mapping of coastal seagrass monitoring sites along the west coast of North America. As a first step toward a longer-term Public Participation GIS process in the study area, the training program includes lessons for beginner drone users related to flying drones, autonomous route planning and mapping, field safety, GIS analysis, image correction and processing, and Federal Aviation Administration (FAA) certification and regulations. Training our research partners and students, who are in most cases novice users, is the first step in a larger process to increase participation in a broader project for seagrass monitoring in our case study. While our training program originated in the United States, we discuss our experiences for research partners and communities around the globe to become more confident in introductory drone operations for basic science. In particular, our work targets novice users without a strong background in geographic research or remote sensing. Such training provides technical guidance on the implementation of a drone mapping program for coastal research, and synthesizes our approaches to provide broad guidance for using drones in support of a developing Public Participation GIS process.
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Lee, Meng-Tse, Ming-Lung Chuang, Sih-Tse Kuo, and Yan-Ru Chen. "UAV Swarm Real-Time Rerouting by Edge Computing D* Lite Algorithm." Applied Sciences 12, no. 3 (January 20, 2022): 1056. http://dx.doi.org/10.3390/app12031056.
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Seeking to give unmanned aerial vehicles (UAVs) a higher level of autonomous control, this study uses edge computing systems to replace the ground control station (GCS) commonly used to control UAVs. Since the GCS belongs to the central control architecture, the edge computing system of the distributed architecture can give drones more flexibility in dealing with changing environmental conditions, allowing them to autonomously and instantly plan their flight path, fly in formation, or even avoid obstacles. Broadcast communications are used to realize UAV-to-UAV communications, thus allocating tasks among a swarm of UAVs and ensuring that each individual UAV collaborates as an integrated member of the group. The dynamic path programming problem for UAV swarm missions uses a two-phase tabu search with a 2-Opt exchange method and an A* search as the path programming algorithm. Distance is taken as a cost function for path programming. The turning points of no-fly zones are then increased and expanded based on drone fleet coverage, thus preventing drones from entering prohibited areas. Unlike previous work, which mostly considers only single no-fly zones, this approach accounts for multiple restricted areas, ensuring that a UAV swarm can complete its assigned task without violating no-fly zones. A drone encountering an obstacle while traveling along the route set by the algorithm will update the map information in real time, allowing for instant recharting of the optimal path to the goal as a reverse search using the D* Lite algorithm.
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Stanković, Miloš, Mohammad Meraj Mirza, and Umit Karabiyik. "UAV Forensics: DJI Mini 2 Case Study." Drones 5, no. 2 (June 1, 2021): 49. http://dx.doi.org/10.3390/drones5020049.
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Rapid technology advancements, especially in the past decade, have allowed off-the-shelf unmanned aerial vehicles (UAVs) that weigh less than 250 g to become available for recreational use by the general population. Many well-known manufacturers (e.g., DJI) are now focusing on this segment of UAVs, and the new DJI Mini 2 drone is one of many that falls under this category, which enables easy access to be purchased and used without any Part 107 certification and Remote ID registration. The versatility of drones and drone models is appealing for customers, but they pose many challenges to forensic tools and digital forensics investigators due to numerous hardware and software variations. In addition, different devices can be associated and used for controlling these drones (e.g., Android and iOS smartphones). Moreover, according to the Federal Aviation Administration (FAA), the adoption of Remote ID is not going to be required for people without the 107 certifications for this segment at least until 2023, which creates finding personally identifiable information a necessity in these types of investigations. In this research, we conducted a comprehensive investigation of DJI Mini 2 and its data stored across multiple devices (e.g., SD cards and mobile devices) that are associated with the drone. The aim of this paper is to (1) create several criminal-like scenarios, (2) acquire and analyze the created scenarios using leading forensics software (e.g., Cellebrite and Magnet Axiom) that are commonly used by law enforcement agencies, (3) and present findings associated with potential criminal activities.
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O'Malley, J. "Keeping drones at bay [UAV control]." Engineering & Technology 11, no. 6 (July 1, 2016): 32–5. http://dx.doi.org/10.1049/et.2016.0601.
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Adi, Puput Dani Prasetyo, Novilda Elizabeth Mustamu, Victor M. M. Siregar, and Volvo Sihombing. "Drone simulation for agriculture and LoRa based approach." Internet of Things and Artificial Intelligence Journal 1, no. 4 (October 14, 2021): 221–35. http://dx.doi.org/10.31763/iota.v1i4.501.
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Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans. It is more automatic in monitoring, with the camera used on the drone can see the growth of rice plants directly and do recording or real-time connecting to the application server or IoT. Besides spraying pesticides, regular monitoring of plants can be done with drones. This study uses a UAV simulation for mapping the location of pesticide spraying, the results of contributions to large areas, and analysis of drone power consumption, which means allocating Drones to the area of land being managed.
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Fortune, David, Holger Nitsch, and Andrew Staniforth. "Countermeasures for Combatting the Terrorist Use of Aerial Drones — Bringing Research and Innovation to Operational Reality." Internal Security 14, no. 1 (October 11, 2022): 173–81. http://dx.doi.org/10.5604/01.3001.0016.0387.
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This article outlines the issues surrounding unmanned aerial vehicle (UAV) illegal incursions and malicious attacks that occur with alarming regularity, providing evidence of the continuing threat posed by actors with hostile intentions, including committed and motivated activists seeking to pursue their political, ideological or environmental goals. As unmanned aerial vehicle (UAV) (drone) technology continues to evolve rapidly, the response to UAVs threats must keep pace with it, with an understanding of the dangers and risks posed by drones remaining a key element in reducing incidents involving illegal drones. W artykule przedstawiono zagadnienia dotyczące nielegalnego wtargnięcia bezzałogowych statków powietrznych (UAV) i złośliwych ataków, które zdarzają się z niepokojącą regularnością, stanowiąc dowód na utrzymujące się zagrożenie ze strony podmiotów o wrogich zamiarach, w tym zaangażowanych i zmotywowanych aktywistów, chcących realizować swoje cele polityczne, ideologiczne lub środowiskowe. Ponieważ technologia bezzałogowych statków powietrznych (UAV) (dronów) nadal bardzo szybko się rozwija, reakcja na zagrożenia z nią związane musi dotrzymywać jej kroku, przy czym zrozumienie niebezpieczeństwa i ryzyka stwarzanego przez drony pozostaje kluczowym elementem ograniczania incydentów z udziałem bezzałogowych statków powietrznych. Der vorliegende Beitrag befasst sich mit der Problematik des illegalen Eindringens unbemannter Luftfahrzeuge (UAV) und böswilliger Angriffe, die mit alarmierender Regelmäßigkeit stattfinden und eine anhaltende Bedrohung durch Akteure mit feindlichen Absichten darstellen, darunter engagierte und motivierte Aktivisten, die ihre politischen, ideologischen oder umweltpolitischen Ziele verfolgen. Da sich die Technologie für unbemannte Luftfahrzeuge (UAVs/Drohnen) rasant weiterentwickelt, muss auch die Reaktion auf Drohnenbedrohungen damit Schritt halten, wobei das Verständnis der von Drohnen ausgehenden Gefahren und Risiken ein Schlüsselelement für die Reduzierung von Vorfällen mit illegalen Drohnen bleibt. В данной статье рассматриваются вопросы, связанные с незаконными вторжениями и злонамеренными атаками беспилотных летательных аппаратов (БПЛА), которые происходят с тревожной регулярностью, что свидетельствует о постоянной угрозе, исходящей от субъектов с враждебными намерениями, включая преданных и мотивированных активистов, стремящихся к достижению своих политических, идеологических или экологических целей. Поскольку технология беспилотных летательных аппаратов (БПЛА) (дронов) продолжает стремительно развиваться, реакция на угрозы, связанные с БПЛА, должна следовать за ней, а понимание опасностей и рисков, связанных с дронами, остается ключевым элементом в сокращении числа инцидентов, связанных с использованием беспилотных летательных аппаратов.
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Chen, Yanxu. "Overview of Solar UAV Power System." Academic Journal of Science and Technology 4, no. 1 (December 5, 2022): 80–82. http://dx.doi.org/10.54097/ajst.v4i1.3258.
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In this work highlights the differences of solar drones in different space states. In mission missions, low altitude drones are generally used for mapping due to their flexibility and mobility. High-altitude drones, due to their high flying altitude and long endurance, are used for military functions such as reconnaissance, intelligence gathering and surveillance. Based on the advantages of super-long range and high-altitude operation, the adjacent space UAV can be used in natural disaster early warning, emergency rescue and relief, and communication systems. Through the development of solar UAV in recent years, this paper analyzes the challenges of different space states from the aspects of solar cell conversion efficiency, battery performance and aircraft skin.
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Šević, Tamara, Vasilija Joksimović, Ivan Pokrajac, Brusin Radiana, Boban Sazdić-Jotić, and Danilo Obradović. "Interception and detection of drones using RF-based dataset of drones." Scientific Technical Review 70, no. 2 (2020): 29–34. http://dx.doi.org/10.5937/str2002029s.
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The usage of Unmanned Aerial Vehicles (UAVs) is accessible for different applications to a wide range of users. However, this wide range of users raises a great concern about the threat (passive or active threats) of malicious actors who can use UAVs for criminal activities. The detection of UAVs is considered to be the first step in the process of UAVs countering (c-UAV). Nowadays, the c-UAV applications offer systems that include different sensors such as electro-optical, thermal, acoustic, radar and radio frequency sensors. Information gathered by these sensors can be fused in order to increase the reliability of threat's detection, classification and identification. It is necessary to have datasets from the different sensors in order to develop methods and algorithms for detection and classification of UAVs. This paper presents a dataset of communication signals between the drone and the control station that is used in the process of detection and classification.
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Lee, Chern Han Sean, Swee King Phang, and Hou Kit Mun. "Design and Implementation of an Agricultural UAV With Optimized Spraying Mechanism." MATEC Web of Conferences 335 (2021): 02002. http://dx.doi.org/10.1051/matecconf/202133502002.
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Agricultural UAVs are growing and developing rapidly throughout the whole world due to its extensive advantages. Agricultural drones are transforming on the way farming is being carried out. They are very suitable and agile for working in a large area of land and rough terrains with high efficiency. Agriculture drones are much bigger in size where they will have a larger and wider spraying span. They can increase and improve the efficiency of spraying more area of land in a shorter duration compared to a knapsack sprayer. The entire research design is based on quantitative research, which was conducted through simulation using SolidWorks, MATLAB and Ansys Fluent. SolidWorks was used for planning, modelling and visual ideation of the agricultural drone. Each of the individual components of the agricultural drone was measured, sketched and designed. MATLAB was used to simulate the agricultural drone to fly in a specific pattern to water a certain area. Velocity, acceleration, position and flight pathway graphs were plotted. These data were collected to observe how evenly the entire area being sprayed is fully covered. Ansys Fluent was used to display the velocity that the fluid will be flowing inside the nozzle and spraying it out.
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Wojtanowski, Jacek, Marek Zygmunt, Tadeusz Drozd, Marcin Jakubaszek, Marek Życzkowski, and Michał Muzal. "Distinguishing Drones from Birds in a UAV Searching Laser Scanner Based on Echo Depolarization Measurement." Sensors 21, no. 16 (August 19, 2021): 5597. http://dx.doi.org/10.3390/s21165597.
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Widespread availability of drones is associated with many new fascinating possibilities, which were reserved in the past for few. Unfortunately, this technology also has many negative consequences related to illegal activities (surveillance, smuggling). For this reason, particularly sensitive areas should be equipped with sensors capable of detecting the presence of even miniature drones from as far away as possible. A few techniques currently exist in this field; however, all have significant drawbacks. This study addresses a novel approach for small (<5 kg) drones detection technique based on a laser scanning and a method to discriminate UAVs from birds. The latter challenge is fundamental in minimizing the false alarm rate in each drone monitoring equipment. The paper describes the developed sensor and its performance in terms of drone vs. bird discrimination. The idea is based on simple cross-polarization ratio analysis of the optical echo received as a result of laser backscattering on the detected object. The obtained experimental results show that the proposed method does not always guarantee 100 percent discrimination efficiency, but provides certain confidence level distribution. Nevertheless, due to the hardware simplicity, this approach seems to be a valuable addition to the developed anti-drone laser scanner.
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Fedorova, Aleksandra, Viktar Beliautsou, and Armin Zimmermann. "Colored Petri Net Modelling and Evaluation of Drone Inspection Methods for Distribution Networks." Sensors 22, no. 9 (April 29, 2022): 3418. http://dx.doi.org/10.3390/s22093418.
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The UAV industry is developing rapidly and drones are increasingly used for monitoring industrial facilities. When designing such systems, operating companies have to find a system configuration of multiple drones that is near-optimal in terms of cost while achieving the required monitoring quality. Stochastic influences such as failures and maintenance have to be taken into account. Model-based systems engineering supplies tools and methods to solve such problems. This paper presents a method to model and evaluate such UAV systems with coloured Petri nets. It supports a modular view on typical setup elements and different types of UAVs and is based on UAV application standards. The model can be easily adapted to the most popular flight tasks and allows for estimating the monitoring frequency and determining the most appropriate grouping and configuration of UAVs, monitoring schemes, air time and maintenance periods. An important advantage is the ability to consider drone maintenance processes. Thus, the methodology will be useful in the conceptual design phase of UAVs, in monitoring planning, and in the selection of UAVs for specific monitoring tasks.
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Cherkasov, S. V., B. V. Sterligov, and L. A. Zolotaya. "The ability to use unmanned Aerial Vehicles for Making high precision measurements of the anomalies of Eart’s Geomagnetic Field." Moscow University Bulletin. Series 4. Geology, no. 3 (June 28, 2016): 17–20. http://dx.doi.org/10.33623/0579-9406-2016-3-17-20.
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The article presents a review of Russian airborne geomagnetic evolution and shows that nowadays the creation of airborne geomagnetic complexes based on air drones (Unmanned Aerial Vehicle, UAV) is much in demand. The theoretical and research data on the development on UAV optimal configuration to place a new-generation quantum aeromagnetometer (using a rubidium sensor with optical injection) on the UAV are shown. The authors have developed an unmanned aeromagnetic complex (UAC) to use in high-quality aeromagnetic surveys at low altitudes (from 30 m) for geological, engineering, and ecological goals.
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Park, J. W., H. H. Jeong, J. S. Kim, and C. U. Choi. "Development of Open source-based automatic shooting and processing UAV imagery for Orthoimage Using Smart Camera UAV." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 22, 2016): 941–44. http://dx.doi.org/10.5194/isprs-archives-xli-b7-941-2016.
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Recently, aerial photography with unmanned aerial vehicle (UAV) system uses UAV and remote controls through connections of ground control system using bandwidth of about 430 MHz radio Frequency (RF) modem. However, as mentioned earlier, existing method of using RF modem has limitations in long distance communication. The Smart Camera equipments’s LTE (long-term evolution), Bluetooth, and Wi-Fi to implement UAV that uses developed UAV communication module system carried out the close aerial photogrammetry with the automatic shooting. Automatic shooting system is an image capturing device for the drones in the area’s that needs image capturing and software for loading a smart camera and managing it. This system is composed of automatic shooting using the sensor of smart camera and shooting catalog management which manages filmed images and information. Processing UAV imagery module used Open Drone Map. This study examined the feasibility of using the Smart Camera as the payload for a photogrammetric UAV system. The open soure tools used for generating Android, OpenCV (Open Computer Vision), RTKLIB, Open Drone Map.
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Park, J. W., H. H. Jeong, J. S. Kim, and C. U. Choi. "Development of Open source-based automatic shooting and processing UAV imagery for Orthoimage Using Smart Camera UAV." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 22, 2016): 941–44. http://dx.doi.org/10.5194/isprsarchives-xli-b7-941-2016.
Full textAbstract:
Recently, aerial photography with unmanned aerial vehicle (UAV) system uses UAV and remote controls through connections of ground control system using bandwidth of about 430 MHz radio Frequency (RF) modem. However, as mentioned earlier, existing method of using RF modem has limitations in long distance communication. The Smart Camera equipments’s LTE (long-term evolution), Bluetooth, and Wi-Fi to implement UAV that uses developed UAV communication module system carried out the close aerial photogrammetry with the automatic shooting. Automatic shooting system is an image capturing device for the drones in the area’s that needs image capturing and software for loading a smart camera and managing it. This system is composed of automatic shooting using the sensor of smart camera and shooting catalog management which manages filmed images and information. Processing UAV imagery module used Open Drone Map. This study examined the feasibility of using the Smart Camera as the payload for a photogrammetric UAV system. The open soure tools used for generating Android, OpenCV (Open Computer Vision), RTKLIB, Open Drone Map.
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Muid, Abdul, Maria Evita, Nina Aminah, Maman Budiman, and Mitra Djamal. "Determining Forest Fire Position from UAV Photogrammetry using Color Filtration Algorithm." JOIV : International Journal on Informatics Visualization 6, no. 4 (December 31, 2022): 842. http://dx.doi.org/10.30630/joiv.6.4.956.
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Forest fires frequently happen worldwide, especially in the dry season. A forest fire early warning system (EWS) is needed to prevent this disaster. The main part of EWS is the hotspot detection system. On the other side, Unmanned Aerial Vehicle (UAV) technology offers an alternative solution to detect the hotspot for poor satellite image processing accuracy. Remote sensing techniques with UAV working drones are progressively challenging. Drones can provide results in 2D and 3D images with high resolution and real-time. Therefore, in this research, we have used a photogrammetry application from the number of images collected by a UAV with an optimum flight plan for the mission to determine the location of the forest fire. This paper describes remote sensing experiments using drones to detect land fires. The experiment was carried out using a quadcopter drone of the DJI Phantom 4 Pro. The photos are processed using Agisoft Metashape Professional image processing software and become a 2D image. These images captured a fire simulation in a known location. After a high resolution (GSD – Ground Sampling Distance – 0.87cm/px) orthophoto had been generated, a color filtration algorithm detected a hotspot to detect a fire at the exact location. The results are almost zero deviation of longitude and latitude from the real location with 1.44 m2 and 1.06 m2 fire area from 2 experiments. This algorithm program has TPR and FPR are 0,78 and 0, respectively. Further research can develop an EWS with a combination of UAV and Wireless Sensor Networks.
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Oakey, Andy, Matt Grote, Angela Smith, Tom Cherrett, Aliaksei Pilko, Janet Dickinson, and Laila AitBihiOuali. "Integrating drones into NHS patient diagnostic logistics systems: Flight or fantasy?" PLOS ONE 17, no. 12 (December 22, 2022): e0264669. http://dx.doi.org/10.1371/journal.pone.0264669.
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Healthcare accounts for approximately 5% of emissions in developed nations, and the public healthcare provider in the United Kingdom (UK), the National Health Service (NHS), has set a target to reach net-zero emissions by 2040 without detriment to its quality of patient care. With Uncrewed Aerial Vehicles (UAVs; a.k.a. drones, UAS, or RPAS) starting to be used in healthcare systems outside the UK, there is interest in how they could be integrated into NHS operations to transport diagnostic specimens. Reflecting on a business-as-usual analysis of current NHS diagnostic specimen logistics across the Solent region (southern UK), this paper critically evaluates the practical reality of integrating UAV deliveries of this commodity, identifying the benefits and challenges that must be addressed to realise commercial services, including dangerous goods legislation, cargo stability, routing, and weather. In the analysis, 14 out of 79 surgeries could be realistically served by a 5m wingspan vertical take-off/landing (VTOL) UAV: seven directly, and seven via ground-based transfers. The results suggested that an average of 1,628 samples could be served by UAV each week, resulting in 42 flights/week with 10 taxi services to cover periods where weather limited flying. This equated to an approximate total service cost of £2,964/week if regulations develop to relax UAV personnel constraints. The introduction of UAVs reduced the marginal external costs (greenhouse gas emissions, congestion, and air pollution) by £196 per week and cut travel times to UAV served sites by 72% (weather permitting). Tailpipe emissions (excl. taxis), vehicle-kilometres travelled, and van costs were reduced by 20%, 20%, and 23% (respectively), but the overall system cost increased by 56%. Whilst this increase is likely to make the introduction of UAV services financially challenging, the benefits in terms of emissions and journey time savings may offset some of the additional cost and warrant further investigation.
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Hadi Pranata, Agus, Ahmad Jauhari, and Abdi Fithria. "ANALISIS AKURASI LUAS TUTUPAN LAHAN MENGGUNAKAN UAV (Unmanned Aerial Vehicle) DI KAWASAN HUTAN DENGAN TUJUAN KHUSUS (KHDTK) ULM DI MANDIANGIN." Jurnal Sylva Scienteae 3, no. 5 (November 29, 2020): 796. http://dx.doi.org/10.20527/jss.v3i5.2528.
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The purpose of this study is to examine and compare the results of the analysis, accuracy and calculation of aerial photography of land cover based on the level of flight height of drones and to assess the level of pixel resolution based on the level of altitude level of flying drones. Based on the analysis, accuracy and calculation of aerial photo shoots, it can be seen that there are differences in the value of each additional drone altitude level and the higher the drone altitude level, the more detailed the object is. The development of geospatial information requests for an area with various fields will have an impact on the development of methods in aerial photography activities. Advanced technology such as cameras and drones makes work relatively fast and with high photo resolution. The process of aerial photography is made easy by using GPS technology that is installed on the drone.Keywords: Accuracy and Calculation Analysis; Aerial Photo Shooting; Drone; Pixel Resolution
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Boyko, Andrey, and Ruben Girgidov. "Key features of a swarm assemlby algorythm for autonomous unmanned aerial vehicles (UAVs) in absence of GNSS and stable radio communication." Robotics and Technical Cybernetics 10, no. 1 (March 2022): 25–31. http://dx.doi.org/10.31776/rtcj.10103.
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In this paper we describe application of the method of physical processes simulating to build a swarm of drones. We show that this method provides the construction of a swarm of drones in the form of a crystal lattice with specified parameters. We found those additional conditions that make it possible to assemble a swarm of disparate drones. We have proposed an algorithm that allows assembling a swarm with minimal costs using a simple measuring complex. Key words UAV, self-organization, physical processes simulating, crystal lattice, swarm robotics, sensors for UAV.
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Wakerkwa, Wahyu O., and Indra Birawaputra. "PEMETAAN DAERAH PENGOLAHAN SIRTU DENGAN MENGGUNAKAN TEKNOLOGI UAV PT.CIPTA JAYA MULIA KABUPATEN JAYAWIJAYA PROVINSI PAPUA." INTAN Jurnal Penelitian Tambang 2, no. 1 (February 27, 2022): 60–64. http://dx.doi.org/10.56139/intan.v2i1.24.
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PT. Cipta Jaya Mulia, as a company that has a mining business scope, seeks to increase its production activities. One strategy applied in order to plan additional area of gravel processing location is mapping using drone technology. Mapping using drone can shorten the time of mapping, where this mapping lasts for 80 minutes covering the area mapped by 5 ha with the altitude of flying drones 50 meters above ground level. Drones produce raster data in the form of photos (jpg files) of 1448 photos. The data is then processed using the Agisoft Photoscan software. The unified photos can then be reprocessed in other mapping software like ArcGIS, Global Mapper, and AutoCAD. The mapping results will be used to plan the addition of the gravel processing area of PT. Jaya Jaya Mulia.
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Suroso, Indreswari. "ANALISIS PERAN UNMANNED AERIAL VEHICLE JENIS MULTICOPTER DALAM MENINGKATKAN KUALITAS DUNIA FOTOGRAFI UDARA DI LOKASI JALUR SELATAN MENUJU CALON BANDARA BARU DI KULONPROGO." REKAM: Jurnal Fotografi, Televisi, dan Animasi 14, no. 1 (August 15, 2018): 17. http://dx.doi.org/10.24821/rekam.v14i1.2134.
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Dunia fotografi sangat erat berkaitan dengan pesawat tanpa awat disebut drone. Drone dipasang kamera sehingga pesawat tersebut dikendalikan pilot dari daratan. Hasil fotografi dilihat pilot setelah pesawat drone tersebut mendarat. Drone adalah pesawat tanpa awak yang dikendalikan dari jarak jauh. Pesawat tanpa awak atau pesawat nirawak (Unmanned Aerial Vehicle atau UAV) adalah sebuah mesin terbang yang berfungsi dengan kendali jarak jauh oleh pilot. Perkembangan teknologi membuat drone juga mulai banyak diterapkan untuk kebutuhan sipil, terutama di bidang bisnis, industri, dan logistik. Dalam dunia industri bisnis, drone telah diterapkan dalam berbagai layanan seperti pengawasan infrastruktur, pengiriman paket barang, pemadam kebakaran hutan, eksplorasi bahan tambang, pemetaaan daerah pertanian, dan pemetaan daerah industri. Berdasarkan jenisnya, terdapat dua jenis drone, yaitu multicopter dan fixed wing. Multicopter adalah jenis drone yang memanfaatkan putaran baling-baling untuk terbang, sedangkan fixed wing memiliki bentuk seperti pesawat terbang biasa yang dilengkapi sistem sayap. Langkah yang digunakan dalam penelitian ini adalah persiapan pembuatan drone, perencanaan ketinggian terbang, pengujian drone di ground, pengaturankalibrasi kamera, pengambilan foto udara, melihat hasil foto udara, kemudian menganalisis hasil foto udara. Drone dalam penelitian ini memiliki empat propeller, yang digunakan untuk pemetaan jalur selatan menuju pintu masuk New International Yogyakarta Airports melalui Desa Plumbon, Kecamatan Temon, Kabupaten Kulonprogo. AbstractRole Analysis of Unmanned Aerial Vehicle Type MultiCopter in Improving the Quality of Aerial Photography Field in the Southern Path towards the Prospective New Airport in Kulonprogo. The world of photography is very closely related to the unattended aircraft called drones. Drones are mounted with camera so that the plane is pilot-controlled from the mainland. Photography results are seen by the pilot after the drone aircraft is landed. Drones are unmanned aircraft controlled remotely. Unmanned aircraft or Unmanned Aerial Vehicle (UAV), is a flying machine which is operated with remote control by the pilot. Technological developments make the drones also start widely applied to civilian needs, especially in the areas of business, industry and logistics. In business industry, drones have been applied in various services such as infrastructure monitoring, freight forwarding, forest fire-fighter, mining exploration, agricultural mapping, and industrial area mapping. Based on its type, there are two types of drones, namely multicopter and fixed wing. Multicopter is the type of drone that utilizes the spin of the propeller, while the fixed wing has an airplane-like shape with a wing system. The steps used in this study were as follows: drone making preparation, fly height planning, ground drone testing, camera calibration settings, air photo capture, air results viewing, and aerial photographs results analyzing. Drone used in this study has fourpropellers used for mapping south path entrance of New Yogyakarta International Airport through Plumbon Village,Temon sub-district, Kulonprogo regency.
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Świeczkowski, Michał. "TECHNOLOGICAL RESPONSE OF PORT SECURITY TO THREATS POSED BY UNMANNED AERIAL VEHICLES." Rocznik Bezpieczeństwa Morskiego XIII (January 24, 2020): 2–3. http://dx.doi.org/10.5604/01.3001.0013.7503.
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In the article author described technological response of port security structures to threats posed by unmanned aerial vehicles. In the beginning author presented world and polish drone market to show take scale of the issue. Then identified threats from unmanned aerial vehicles and adapted to conditions of Port of Gdynia Authority S.A. Afterwards author presented selected, current anti-drones systems and implications related to attempt to secure port against UAV. Based of analysis and solutions applied and planed by Port of Gdynia Authority S.A. author proved that anti-drones systems are the best response of seaports for threats from unmanned aerial vehicles
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Çetin, Ender, Alicia Cano, Robin Deransy, Sergi Tres, and Cristina Barrado. "Implementing Mitigations for Improving Societal Acceptance of Urban Air Mobility." Drones 6, no. 2 (January 18, 2022): 28. http://dx.doi.org/10.3390/drones6020028.
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The continuous development of technical innovations provides the opportunity to create new economic markets and a wealth of new services. However, these innovations sometimes raise concerns, notably in terms of societal, safety, and environmental impacts. This is the case for services related to the operation of unmanned aerial vehicles (UAV), which are emerging rapidly. Unmanned aerial vehicles, also called drones, date back to the first third of the twentieth century in aviation industry, when they were mostly used for military purposes. Nowadays, drones of various types and sizes are used for many purposes, such as precision agriculture, search and rescue missions, aerial photography, shipping and delivery, etc. Starting to operate in areas with low population density, drones are now looking for business in urban and suburban areas, in what is called urban air mobility (UAM). However, this rapid growth of the drone industry creates psychological fear of the unknown in some parts of society. Reducing this fear will play an important role in public acceptance of drone operations in urban areas. This paper presents the main concerns of society with regard to drone operations, as already captured in some public surveys, and proposes a list of mitigation measures to reduce these concerns. The proposed list is then analyzed, and its applicability to individual, urban, very large demonstration flights is explained, using the feedback from the CORUS-XUAM project. CORUS-XUAM will organize a set of very large drone flight demonstrations across seven European countries to investigate how to safely integrate drone operations into airspace with the support of the U-space.
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Díaz-Delgado, Ricardo, and Sander Mücher. "Editorial of Special Issue “Drones for Biodiversity Conservation and Ecological Monitoring”." Drones 3, no. 2 (June 7, 2019): 47. http://dx.doi.org/10.3390/drones3020047.
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Unmanned Aerial Vehicles (UAV) have already become an affordable and cost-efficient tool to quickly map a targeted area for many emerging applications in the arena of Ecological Monitoring and Biodiversity Conservation. Managers, owners, companies and scientists are using professional drones equipped with high-resolution visible, multispectral or thermal cameras to assess the state of ecosystems, the effect of disturbances, or the dynamics and changes of biological communities inter alia. It is now a defining time to assess the use of drones for these types of applications over natural areas and protected areas. UAV missions are increasing but most of them are just testing its applicability. It is time now to move to frequent revisiting missions, aiding in the retrieval of important biophysical parameters in ecosystems or mapping species distributions. This Special Issue is aimed at collecting UAV applications contributing to a better understanding of biodiversity and ecosystem status, threats, changes and trends. Submissions were welcomed from purely scientific missions to operational management missions, evidencing the enhancement of knowledge in: Essential biodiversity variables and ecosystem services mapping; ecological integrity parameters mapping; long-term ecological monitoring based on UAVs; mapping of alien species spread and distribution; upscaling ecological variables from drone to satellite images: methods and approaches; rapid risk and disturbance assessment using drones, ecosystem structure and processes assessment by using UAVs, mapping threats, vulnerability and conservation issues of biological communities and species; mapping of phenological and temporal trends and habitat mapping; monitoring and reporting of conservation status.
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Blight, Louise K., Douglas F. Bertram, and Edward Kroc. "Evaluating UAV-based techniques to census an urban-nesting gull population on Canada’s Pacific coast." Journal of Unmanned Vehicle Systems 7, no. 4 (December 1, 2019): 312–24. http://dx.doi.org/10.1139/juvs-2019-0005.
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The use of unmanned aerial vehicles, or drones, in wildlife monitoring has increased in recent years, particularly in hard-to-access habitats. We used fixed-wing and quadcopter drones to census an urban-nesting population of Glaucous-winged Gulls in Victoria, Canada. We conducted our study over 2 years and asked whether (i) drones represent a suitable survey method for rooftop-nesting gulls in our study region; and (ii) Victoria’s urban gull population had increased since the last survey >30 years earlier. Using orthomosaic imagery derived from drone overflights, we estimated at least a threefold increase over the 1986 count reported for the entire city (from 114 to 346 pairs), and an approximate tenfold increase in the number of gulls nesting in the downtown core. Drones proved to be an excellent platform from which to census rooftop-nesting birds: occupied nests were readily discernible in our digital imagery, and incubating birds were undisturbed by drones. This lack of disturbance may be due to Victoria’s location in an aerodrome; gulls experience dozens of floatplane and helicopter flights per day and are likely habituated to air traffic. Glaucous-winged Gulls have declined considerably at their natural island colonies in the region since the 1980s. Our results indicate that although urban roofs provide replacement nesting habitat for this species, local gull populations have not simply relocated en masse from islands to rooftops in the region.
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Mane, Siddhesh. "Design and Fabrication of Multipurpose Drone." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 5459–64. http://dx.doi.org/10.22214/ijraset.2021.36179.
Full textAbstract:
There is an overall lack of multipurpose aerial drones, or unmanned aerial vehicles (UAVs), around the world; and until recently, there was a lack of any feasible purposes for drones outside of military applications and those available in market has a very high cost associated with it. Drone technology has advanced to the point in which portable devices are now economically priced enough for civilians to afford as well as easy enough to use with little to no training; however, the main draw back with drones even today is the lack of flexibility n purposes. Most civilian drones are marketed for surveillance purposes only, making the purchaser the one responsible for the labor and economics of any type of design changes to allow for different or more functions. The problem then evolves itself to how to make an economical UAV that can be used for more than one purpose.
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Jiang, Hongchao, Di Wu, and Yating Tan. "Research on Mountain Fire Detection method of UAV based on Mathematical Modeling method." IOP Conference Series: Earth and Environmental Science 769, no. 3 (May 1, 2021): 032064. http://dx.doi.org/10.1088/1755-1315/769/3/032064.
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Abstract For the first question, we establish two main models for SSA drones and repeater drones respectively. For repeater drones, we establish a grid search model, aiming at terrain, repeater range limits and other restrictions, by gradually removing the grid points, work out the optimal position and quantity of the repeater drones. For SSA drones, we also use the grid search model, considering the flight parameters of SAA drones, to find the position of the charging station (EOC) and fully meet the charging needs of SSA drones. Considering the impact of the size of fire, we divide the size of the fire into three levels, which correspond to different SSA drones demand quantities, and referred to the VRPTW algorithm to solve the TSP problem with different node requirements. Finally, we use genetic algorithm to optimize.
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Smirnov, Anton, Evgeniy Smolokurov, Eva Timofeeva, and Muslim Osmanov. "Problems and prospects for the development of unmanned aerial vehicles in Russia." E3S Web of Conferences 363 (2022): 04046. http://dx.doi.org/10.1051/e3sconf/202236304046.
Full textAbstract:
Unmanned aerial vehicles are vehicles that can fly without a human pilot on board. Recently, unmanned aerial vehicles (UAV) have become widespread in the civil and military sectors, and the development of UAV is one of the promising trends in modern aviation. Drones have long ceased to be expensive and highly specialised and are in widespread use. They can be equipped with multiple cameras, gyrostabilisers, LIDAR and GPS to collect and transmit data in real time. Due to the demand for drones in various applications such as agriculture, search and rescue, wireless communications, surveillance and cargo transportation, several types of UAV have been invented with different sizes, weights, flight ranges, engine types, etc., optimized for specialized types of work. The deeper integration of drones into the transport system has the potential to relieve general strain in many companies and factories, reducing production and transport times, and facilitating faster response to emergencies. However, drones face a number of challenges related to flight logistics, collision avoidance, lack of necessary infrastructure, autonomous operation time and imperfect artificial intelligence.
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Hamm and Lin. "“Why Drones for Ordinary People?” Digital Representations, Topic Clusters, and Techno-Nationalization of Drones on Zhihu." Information 10, no. 8 (August 9, 2019): 256. http://dx.doi.org/10.3390/info10080256.
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Unmanned and unwomaned aerial vehicles (UAV), or drones, are breaking and creating new boundaries of image-based communication. Using social network analysis and critical discourse analysis, we examine the 60 most popular question threads about drones on Zhihu, China’s largest social question answering platform. We trace how controversial issues around these supposedly novel tech products are mediated, domesticated, visualized, or marginalized via digital representational technology. Supported by Zhihu’s topic categorization algorithm, drone-related discussions form topic clusters. These topic clusters gain currency in the government-regulated cyberspace, where their meanings remain open to widely divergent interpretations and mediation by various agents. We find that the largest drone company DJI occupies a central and strongly interconnected position in the discussions. Drones are, moreover, represented as objects of consumption, technological advancement, national future, and uncertainty. At the same time, the sense-making process of drone-related discussions evokes emerging sets of narrative user identities with potential political effects. Users engage in digital representational technologies publicly and collectively to raise questions and represent their views on new technologies. Therefore, we argue that platforms like Zhihu are essential when studying views of the Chinese citizenry towards technological developments.
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Rothe, Julian, Jasper Zevering, Michael Strohmeier, and Sergio Montenegro. "A Modified Model Reference Adaptive Controller (M-MRAC) Using an Updated MIT-Rule for the Altitude of a UAV." Electronics 9, no. 7 (July 7, 2020): 1104. http://dx.doi.org/10.3390/electronics9071104.
Full textAbstract:
Unmanned Aerial Vehicles (UAVs) are playing an increasingly important role in a wide variety of areas and the range of applications increases daily, which can also be seen in the research of the topic. At the University of Wuerzburg drones are to be used in a project, where the aim is to catch possibly dangerous UAVs in mid air using a net, carried by two drones. This very special scenario poses new problems to the control of the drones, so that traditionally used Proportional-Integral-Differential (PID) controllers are no longer sufficient. Therefore a model-based adaption mechanism was chosen to be used to control the altitude of the drones. Though adaption based controllers have been used in the field of drone research before, the existing algorithms had to be modified to work with the special conditions of the altitude control of UAVs. The design and implementation of the modified Model Reference Adaptive Controllers (MRACs) with an updated Massachusetts Institute of Technology (MIT)-rule will be presented in this work. The behavior of the drones with and without the adaption as well as the changes to the original MRAC are then compared in simulation as well as on a real system and show very promising results in further improving the stability of the altitude control of the drones.