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Journal articles on the topic 'Aerial drones'
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1
Barkova, N. Yu, E. D. Deulina, M. A. Malysheva, D. P. Kirsanova, and O. A. Borodina. "Unmanned aerial vehicles: potential for use in the storage systems of industrial companies." Vestnik Universiteta, no. 5 (June 30, 2022): 44–52. http://dx.doi.org/10.26425/1816-4277-2022-5-44-52.
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In the article, the authors investigate the problem of using unmanned aerial vehicles (drones) in company warehouses and consider their use as one of the ways to optimize the logistics business processes of companies. Technologies are considered, on the basis of which modern unmanned aerial vehicles, drone models of various companies, the main functionality of drone’s work. The authors high-light the strengths and weaknesses of unmanned aerial vehicles, key factors determining the success of the use of drones, and favorable conditions for their use in warehouses. The authors are considering the possibility of sharing drones and RFID technology. Barriers to the active introduction of drones into the logistics business processes of warehousing systems and requirements for warehouse complexes planning the use of unmanned aerial objects have been identified. Promising areas of application of technology in warehouse logistics are also considered: creation of anti-theft and fire protection systems, using drones to read CIS marks. The authors used data from analytical reports and data collected by the authors themselves, as well as empirical research methods.
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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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Nguyen, Dinh-Dung, Utku Kale, Muhammed Safa Baş, Munevver Ugur, Tahir Hikmet Karakoc, and Dániel Rohács. "Fundamental Elements of Drone Management Systems in Air Traffic Planning." Repüléstudományi Közlemények 35, no. 1 (November 24, 2023): 169–84. http://dx.doi.org/10.32560/rk.2023.1.13.
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Drones or Unmanned Aerial Systems (UAV – Unmanned Aerial Vehicles or UAS – UnmannedAerial Systems) are vehicles that can fly without the need for a pilot or passengers. Drones can be controlled remotely through radio waves or independently (with a previously determined route). The amount of documented accidents involving the hazardous use of drones has risensignificantly due to the increased usage of drones. To perform and increase the use of drones in air traffic management (ATM), especially in smart city planning, a variety of regulations andmanagement procedures will be implemented. This paper aims to propose management rules or regulations for drones in smart city transportation management and some approaches related to drone management and drone control. To present controlling approaches through the parameters in mathematical modelling for drones, we need a control rule, data gathering from the surroundings (usage of GIS), and a dynamic model of drones, and to present controlling and managing it with the help of a drone-following model based on a dynamic model of drones.
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Rao, Gurrala Madhusudhana, B. Lakshmi Prasanna, Katuri Rayudu, Vempalle Yeddula Kondaiah, Boyanasetti Venkata Sai Thrinath, and Talla Venu Gopal. "Performance evaluation of BLDC motor drive mounted in aerial vehicle (drone) using adaptive neuro-fuzzy." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (June 1, 2024): 733. http://dx.doi.org/10.11591/ijpeds.v15.i2.pp733-743.
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The development of autonomous drones equipped with cameras and various sensors has paved the way for their application in agriculture and perimeter security. These aerial drones require specific power, acceleration, high torque, and efficiency to meet the demands of agricultural tasks, utilizing built-in brushless DC (BLDC) motors. However, a common challenge drone’s face is maintaining the desired speed for extended periods. Enhancing the performance of BLDC motors through advanced controllers is crucial to address this issue. This research paper proposes optimizing the size and speed of brushless DC motors for aerial vehicles using an adaptive fuzzy inference system and supervised learning techniques. When these drones carry loads, the BLDC motors must dynamically adjust the drone's speed. During this phase, the motors must control their speed and torque using artificial intelligence controllers like adaptive neuro-fuzzy inference systems (ANFIS) to enhance the drone's functionality, resilience, and safety. This research has conducted analyses focused on improving the performance of BLDC motors explicitly personalized for unmanned aerial vehicle (UAVs). The proposed method will be implemented using MATLAB/Simulink, expecting to significantly enhance the BLDC motor's performance compared to conventional controllers. Comparative analyses will be conducted between traditional and ANFIS controllers to validate the effectiveness of the proposed approach.
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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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Supratman, Okto, Wahyu Adi, and Guskarnali Guskarnali. "MEMBANGUN KEMAMPUAN SPASIAL LEWAT PELATIHAN PEMETAAN DENGAN TEKNOLOGI DRONE." Dharma Pengabdian Perguruan Tinggi (DEPATI) 3, no. 1 (June 21, 2023): 78–83. http://dx.doi.org/10.33019/depati.v3i1.3790.
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Drone technologys are now widely used not only for taking photos, videos, but also for mapping. Therefore, it is necessary to conduct mapping training activities with drone technology so that participants can improve their competence in using drones for mapping. Training purposes are 1) To provide an understanding of spatial knowledge through training with drone technology, 2) To increase competence related to Mapping using drones and 3) To produce high resolution maps. The methods or stages of training activities are 1) Coordination of training implementation with cooperation partners, 2) Preparation of training materials, 3) Opening of registration, 4) Opening of Training Classes, 5) Training of spatial data retrieval using drones, 6) Training of Spatial Data Processing from Drones. The results of the mapping training activity with drone technology were attended by 73 participants, of which 29 participants were declared passed and received certificates. Participants who passed were participants who had followed all the training materials and submitted aerial photography and contour maps assignments. Mapping training activities are carried out in online and offline blended learning. Online activities are carried out when opening classes, delivering material, processing data and closing classes, while offline activities are when the practice of taking aerial photos using drones will be used as data processing material. In addition, the results of the training activities include aerial photo maps and high-resolution contour maps from aerial photographs with drones made by training participants.
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Ma, Wenlei, Siyu Li, Hao Ren, Shiyu Liu, Mengting Chen, Ying Wang, and Pu Jing. "Research and Design of VR Based Unmanned Aerial Vehicle Model and Database." International Journal for Innovation Education and Research 11, no. 5 (May 9, 2023): 58–64. http://dx.doi.org/10.31686/ijier.vol11.iss5.4120.
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In response to the application of drones in real life, drones are more susceptible to interference and influence from various external factors such as weather, site, airspace, etc. during flight operations or related tasks. Not only can they not guarantee the completion of expected goals or tasks, but they are also prone to problems such as falling, collision, or accidental injury caused by the unstable state of drones. The drone flight simulation, virtual training, and drone database system developed based on VR technology has improved the safety, diversity, and instability of drones in practical applications, and reduced the interference of external adverse factors on drone flight. A comprehensive drone model database system has been established. This provides effective guarantees for the application and implementation of drones in various fields.
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Anikeeva, I. A., N. M. Babashkin, S. A. Kadnichanskiy, and S. S. Nekhin. "The Possibility and Effectiveness of Using Drones When Performing Cadastral Works." Geodesy and Cartography 938, no. 8 (September 20, 2018): 44–52. http://dx.doi.org/10.22389/0016-7126-2018-938-8-44-52.
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The analysis of the capabilities and effectiveness of the aerial survey using a drone for determining the coordinate points of the real estate objects’ boundaries with photogrammetric method in doing cadastral works basing on established requirements is given. The matters of coordinates’ definition accuracy are considered basing on the results of research trials of hardware and software systems of digital aerial photography and photogrammetric processing based on using drones and the aerial photos of the polygon. The results of a comparative analysis of the aerial survey effectiveness using drones of various types and traditional aerial survey with manned aircraft are given. The factors affecting the efficiency are analyzed. Issues of creating the legislation base for aerial survey with drones are discussed. The conclusion is made about possibility of aerial survey using unmanned aircraft to determine the coordinates of the real estate objects’ boundaries with precision meeting the established requirements. Planning aerial surveys with drones for cadastral tasks should be primarily based on economic factors (time and cost), taking into account the specific conditions of the subject and used hardware and software.
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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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Liu, Chen, Fanrun Meng, Zhiren Zhu, and Liming Zhou. "Object Detection of UAV Aerial Image based on YOLOv8." Frontiers in Computing and Intelligent Systems 5, no. 3 (November 14, 2023): 46–50. http://dx.doi.org/10.54097/fcis.v5i3.13852.
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With the development of technology, unmanned aerial vehicles (UAVs) have shed their military uses and gradually expanded to civilian and commercial fields. With the development of drone technology, object detection technology based on deep learning has become an important research topic in the field of drone applications. Apply object detection technology to unmanned aerial vehicles to achieve object detection and recognition of ground scenes from an aerial perspective. However, in aerial images taken by drones, the detection objects are mostly small targets, and the target scale changes greatly due to the influence of aerial perspective; The image background is complex, and the target object is easily occluded. It has brought many challenges to the target detection of unmanned aerial vehicles. Conventional object detection algorithms cannot guarantee detection accuracy when applied to drones, and optimizing the target detection performance of drones has become an important research topic in the field of drone applications. We improve the WIoUv3 loss function on the basis of YOLOv8s to reduce regression localization loss during training and improve the regression accuracy of the model. The experimental results indicate that the improved model mAP@0.5 It increased by 0.6 percentage points to 40.7%.
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Alotaibi, Ahad, Chris Chatwin, and Phil Birch. "Ubiquitous Unmanned Aerial Vehicles (UAVs): A Comprehensive Review." Shanlax International Journal of Arts, Science and Humanities 11, no. 2 (October 1, 2023): 62–90. http://dx.doi.org/10.34293/sijash.v11i2.6650.
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Unmanned aerial vehicles (UAVs) or drones have found applications in various fields including military operations, construction, parcel delivery, mapping, medical, search and rescue missions, exploration of hidden areas, monitoring power lines and oil rigs, precision farming, aerial surveillance, and wireless communication. Due to their modular flexibility and programmability, drone technologies have become a strategic industrial/commercial sector that has gained significant attention as it redefines and combines different emerging domains, such as: service and delivery convergence, lean manufacturing, environmental monitoring and security. The use of swarms of interconnected UAV systems has gained popularity in providing innovative approaches to tasks requiring wide-area multiple collaborative sensors. However, despite advances in maneuverability, user interface, and cost-effectiveness, drones still face limitations in flight autonomy due to restricted flight time for continuous missions. Battery endurance, drone weight, and payload are critical development vectors. This review highlights the importance of drones, their future development priorities and functionality. Specifically, it focuses on UAV classification, swarms, and charging. Moreover, it explores UAV applications, challenges, and security issues based on recent research and development. Additionally, the study delves into anti-drone technology that can assist countries in controlling and ensuring the safe utilization of drones.
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Amam Hossain Bagdadee, Et al. "A Novel Method for Self-Driving Solar-Powered Drones." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (February 13, 2024): 4727–41. http://dx.doi.org/10.17762/ijritcc.v11i9.10024.
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This project presented the transformative potential of integrating solar panels into drones. This innovative approach addresses the long-standing issue of limited battery life, enabling drones to operate continuously, adapt to changing mission demands, and contribute to sustainability efforts in the field of unmanned aerial vehicles. This development represents a significant step forward in the evolution of drone technology, promising a more versatile and self-sustaining future for drones across various sectors. Factors like high-speed flight, aggressive maneuvers, heavy payloads, and adverse weather can dramatically reduce battery life. Surveillance drones, for instance, are confined to covering limited areas before returning for battery changes or recharging. A groundbreaking solution lies in the incorporation of solar panels directly into the drones, allowing them to self-charge when required. This innovation ensures uninterrupted drone operation, regardless of the prospects of energy demands, thus marking a significant step forward in drone technology. With this integration of solar power, drones are poised to become not only versatile but also autonomous, promising a transformative development in the world of unmanned aerial vehicles.
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Ali, Hashim, and Salah Albermany. "Network Performance and Technological Feasibility of Unmanned Aerial Vehicles for Network Extension." Journal of Kufa for Mathematics and Computer 11, no. 1 (March 30, 2024): 92–101. http://dx.doi.org/10.31642/jokmc/2018/110114.
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The operational range of conventional and license-free radio-controlled drones is limited due to line-of-sight restrictions (LoS). There exists a definitive method for operating a drone. Consequently, in order to fly the drone beyond the visual line of sight (BVLoS), it is necessary to replace the drone's original wireless communications equipment with a device that requires a licence and is connected to a cellular network. Long-Term Evolution (LTE), a terrestrial communication technique, enables a drone to establish a real-time connection with a ground station. This connection serves the goals of command and control (C&C) as well as payload delivery. Nevertheless, it is important to note that the electromagnetic environment undergoes changes as altitude increases, which can potentially complicate the process of interfacing with drones over terrestrial cellular networks. The objective of this article is to develop a prototype control system for low-altitude microdrones using LTE technology. Additionally, it seeks to assess the feasibility and effectiveness of cellular connectivity for drones operating at various altitudes. This evaluation will be conducted by examining factors like as latency, handover, and signal strength. At a certain altitude, the received signal experiences a decrease in power level by 20 dBm and a degradation in signal quality by 10 dB. The data throughput of the downlink had a fall of 70%, while the latency exhibited an increase of 94 ms. Despite meeting the basic criteria for drone cellular connection, the existing LTE network necessitates enhancements in order to expand aerial coverage, mitigate interference, and minimise network latency.
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Bouafif, Hana, Faouzi Kamoun, and Farkhund Iqbal. "Towards a Better Understanding of Drone Forensics." International Journal of Digital Crime and Forensics 12, no. 1 (January 2020): 35–57. http://dx.doi.org/10.4018/ijdcf.2020010103.
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Unmanned aerial vehicles (drones) have gained increased popularity as their innovative uses continue to expand across various fields. Despite their numerous beneficial uses, drones have unfortunately been misused, through many reported cases, to launch illegal and sometimes criminal activities that pose direct threats to individuals, organizations, public safety and national security. These threats have recently led law enforcement agencies and digital forensic investigators to pay special attention to the forensic aspects of drones. This important research topic, however, remains underexplored. This study aims to further explore drone forensics in terms of challenges, forensic investigation procedures and experimental results through a forensic investigation study performed on a Parrot AR drone 2.0. In this study, the authors present new insights on drone forensics in terms of forensic approaches, access to drone's digital containers and the retrieval of key information that can assist digital forensic investigators establish ownership, recuperate flight data and gain access to media files.
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Saranovic, Daniel, Martin Pavlovski, William Power, Ivan Stojkovic, and Zoran Obradovic. "Interception of automated adversarial drone swarms in partially observed environments." Integrated Computer-Aided Engineering 28, no. 4 (August 27, 2021): 335–48. http://dx.doi.org/10.3233/ica-210653.
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As the prevalence of drones increases, understanding and preparing for possible adversarial uses of drones and drone swarms is of paramount importance. Correspondingly, developing defensive mechanisms in which swarms can be used to protect against adversarial Unmanned Aerial Vehicles (UAVs) is a problem that requires further attention. Prior work on intercepting UAVs relies mostly on utilizing additional sensors or uses the Hamilton-Jacobi-Bellman equation, for which strong conditions need to be met to guarantee the existence of a saddle-point solution. To that end, this work proposes a novel interception method that utilizes the swarm’s onboard PID controllers for setting the drones’ states during interception. The drone’s states are constrained only by their physical limitations, and only partial feedback of the adversarial drone’s positions is assumed. The new framework is evaluated in a virtual environment under different environmental and model settings, using random simulations of more than 165,000 swarm flights. For certain environmental settings, our results indicate that the interception performance of larger swarms under partial observation is comparable to that of a one-drone swarm under full observation of the adversarial drone.
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Ghous, Hamid, Mubasher H. Malik, Dania Majeed, Fathima Nuzha Mohamed, and Ayesha Nasir. "Evaluation of Safe Landing Site Detection Methods for Unmanned Aerial Vehicles." VAWKUM Transactions on Computer Sciences 11, no. 1 (June 28, 2023): 281–94. http://dx.doi.org/10.21015/vtcs.v11i1.1474.
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Nowadays, aerial vehicles (drones) are becoming more popular. Over the past few years, Unmanned Aerial Vehicles (UAVs) have been used in various remote sensing applications. Every aerial vehicle is now either partially or completely automated. The tiniest type of aerial vehicle is the UAV. The widespread use of aerial drones requires numerous safe landing site detection techniques. The paper aims to review literature on techniques for automatic safe landing of aerial drone vehicles by detecting suitable landing sites, considering factors such as ground surfaces and using image processing methods. A drone must determine whether the landing zones are safe for automatic landing. Onboard visual sensors provide potential information on outdoor and indoor ground surfaces through signals or images. The optimal landing locations are then determined from the input data using various image processing and safe landing area detection (SLAD) methods. UAVs are acquisition systems that are quick, efficient, and adaptable. We discuss existing safe landing detection approaches and their achievements. Furthermore, we focus on possible areas for improvement, strength, and future approaches for safe landing site detection. The research addresses the increasing need for safe landing site detection techniques in the widespread use of aerial drones, allowing for automated and secure landing operations.
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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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Lee, Chao-Yang, Huan-Jung Lin, Ming-Yuan Yeh, and Jer Ling. "Effective Remote Sensing from the Internet of Drones through Flying Control with Lightweight Multitask Learning." Applied Sciences 12, no. 9 (May 6, 2022): 4657. http://dx.doi.org/10.3390/app12094657.
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The rapid development and availability of drones has raised growing interest in their numerous applications, especially for aerial remote-sensing tasks using the Internet of Drones (IoD) for smart city applications. Drones image a large-scale, high-resolution, and no visible band short wavelength infrared (SWIR) ground aerial map of the investigated area for remote sensing. However, due to the high-altitude environment, a drone can easily jitter due to dynamic weather conditions, resulting in blurred SWIR images. Furthermore, it can easily be influenced by clouds and shadow images, thereby resulting in the failed construction of a remote-sensing map. Most UAV remote-sensing studies use RGB cameras. In this study, we developed a platform for intelligent aerial remote sensing using SWIR cameras in an IoD environment. First, we developed a prototype for an aerial SWIR image remote-sensing system. Then, to address the low-quality aerial image issue and reroute the trajectory, we proposed an effective lightweight multitask deep learning-based flying model (LMFM). The experimental results demonstrate that our proposed intelligent drone-based remote-sensing system efficiently stabilizes the drone using our designed LMFM approach in the onboard computer and successfully builds a high-quality aerial remote-sensing map. Furthermore, the proposed LMFM has computationally efficient characteristics that offer near state-of-the-art accuracy at up to 6.97 FPS, making it suitable for low-cost low-power devices.
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Alturki, Nazik, Turki Aljrees, Muhammad Umer, Abid Ishaq, Shtwai Alsubai, Oumaima Saidani, Sirojiddin Djuraev, and Imran Ashraf. "An Intelligent Framework for Cyber–Physical Satellite System and IoT-Aided Aerial Vehicle Security Threat Detection." Sensors 23, no. 16 (August 14, 2023): 7154. http://dx.doi.org/10.3390/s23167154.
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The small-drone technology domain is the outcome of a breakthrough in technological advancement for drones. The Internet of Things (IoT) is used by drones to provide inter-location services for navigation. But, due to issues related to their architecture and design, drones are not immune to threats related to security and privacy. Establishing a secure and reliable network is essential to obtaining optimal performance from drones. While small drones offer promising avenues for growth in civil and defense industries, they are prone to attacks on safety, security, and privacy. The current architecture of small drones necessitates modifications to their data transformation and privacy mechanisms to align with domain requirements. This research paper investigates the latest trends in safety, security, and privacy related to drones, and the Internet of Drones (IoD), highlighting the importance of secure drone networks that are impervious to interceptions and intrusions. To mitigate cyber-security threats, the proposed framework incorporates intelligent machine learning models into the design and structure of IoT-aided drones, rendering adaptable and secure technology. Furthermore, in this work, a new dataset is constructed, a merged dataset comprising a drone dataset and two benchmark datasets. The proposed strategy outperforms the previous algorithms and achieves 99.89% accuracy on the drone dataset and 91.64% on the merged dataset. Overall, this intelligent framework gives a potential approach to improving the security and resilience of cyber–physical satellite systems, and IoT-aided aerial vehicle systems, addressing the rising security challenges in an interconnected world.
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Keith, Alexander, Thanigajan Sangarapillai, Abdulaziz Almehmadi, and Khalil El-Khatib. "A Blockchain-Powered Traffic Management System for Unmanned Aerial Vehicles." Applied Sciences 13, no. 19 (October 4, 2023): 10950. http://dx.doi.org/10.3390/app131910950.
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The increasing popularity and usage of unmanned aerial vehicles (UAVs) has brought about new challenges in airspace management. With the number of drones expected to grow even further in the coming years, there is an urgent need for an autonomous traffic management system (TMS) that can safely and effectively manage drone traffic in the airspace. It is critical that this TMS be built with principles of the Confidentiality, Integrity, and Availability (CIA) triad. In this paper, a traffic management system for UAVs is presented that takes advantage of a Hyperledger Fabric blockchain network. The TMS provides a decentralized and secure method to manage and deconflict drone flight paths, allowing for safe navigation in crowded airspaces. Through a series of simulated experiments, we demonstrated the system’s capabilities in handling path creation, multiple conflict resolutions, and large numbers of drones. Simulated tests showed that the proposed system was able to handle deconfliction of 1000 drones inside of a one square kilometer, and returned calculated paths for drones in 60 to 2000 ms with up to 100 deconflictions. The Hyperledger Fabric powered traffic management system showcased the potential to leverage permissioned blockchain technology in improving drone traffic management.
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Anurogo, Wenang, Muhammad Zainuddin Lubis, Hanah Khoirunnisa, Daniel Sutopo Pamungkas, Aditya Hanafi, Fajar Rizki, Ganda Surya, et al. "A Simple Aerial Photogrammetric Mapping System Overview and Image Acquisition Using Unmanned Aerial Vehicles (UAVs)." Journal of Applied Geospatial Information 1, no. 01 (June 9, 2017): 11–18. http://dx.doi.org/10.30871/jagi.v1i01.360.
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Aerial photogrammetry is one of the Alternative technologies for more detailed data, real time, fast and cheaper. Nowadays, many photogrammetric mapping methods have used UAV / unmanned drones or drones to retrieve and record data from an object in the earth. The application of drones in the field of geospatial science today is in great demand because of its relatively easy operation and relatively affordable cost compared to satellite systems especially high - resolution satellite imagery. This research aims to determine the stage or overview of data retrieval process with DJI Phantom 4 (multi - rotor quad - copter drone) with processing using third party software. This research also produces 2 - dimensional high resolution image data on the research area. Utilization of third party software (Agisoft PhotoScan) making it easier to acquire and process aerial photogrammetric data. The results of aerial photogrammetric recording with a flying altitude of 70 meters obtained high resolution images with a spatial resolution of 2 inches / pixels.
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Go, Yong-Guk, Ho-San Kang, Jong-Won Lee, Mun-Su Yu, and Soo-Mi Choi. "Multi-User Drone Flight Training in Mixed Reality." Electronics 10, no. 20 (October 15, 2021): 2521. http://dx.doi.org/10.3390/electronics10202521.
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The development of services and applications involving drones is promoting the growth of the unmanned-aerial-vehicle industry. Moreover, the supply of low-cost compact drones has greatly contributed to the popularization of drone flying. However, flying first-person-view (FPV) drones requires considerable experience because the remote pilot views a video transmitted from a camera mounted on the drone. In this paper, we propose a remote training system for FPV drone flying in mixed reality. Thereby, beginners who are inexperienced in FPV drone flight control can practice under the guidance of remote experts.
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Junior, Milembolo Miantezila, and Bin Guo. "Sensing spectrum sharing based massive MIMO radar for drone tracking and interception." PLOS ONE 17, no. 5 (May 20, 2022): e0268834. http://dx.doi.org/10.1371/journal.pone.0268834.
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Radar sensors are becoming crucial for environmental perception in a world with the tremendous growth of unmanned aerial vehicles (UAVs) or drones. When public safety is a concern, the localization of drones are of great significance. However, a drone used for a wrong motive can cause a serious problem for the environment and public safety, given the fact that the dynamic movement of a drone’s emission signal and location tracking is different from existing positioning. This study proposes a safety zone characterized by the presence of N radars sensors with a goal to track and destabilized rogue drones attending to penetrate safety zones (stadium and school). Specifically, a new joint estimation based on a Gaussian filter has been introduced for spectrum sharing and detection awareness. The profit of this novel sensing method can be clearly seen when the two joint hidden states are taken into consideration. Therefore, the drone’s emission state is analyzed by estimating its movement jointly. Considering the drone’s unknown states and actual positioning, an algorithm is developed based on dynamic states space model. Where Bernoulli filter model is designed to estimate recursively the unknown stages of the drone and its changing location based on time. Meanwhile a power control acted from the radar to the targeted drones so that rogue drones are optimally tracked and destabilized over time. Furthermore, an expanding mechanism has been generated to accurately track the drone and enhance detection. A thoughtful result of the experimentation shows clearly that, even when the drone is moving, spectral detection can be performed accurately by chasing its positions. Its demonstrates at 90% of credibility that the original signal has a direct effect on the propagated signal. Therefore, the magnitude of the Doppler shift increases with frequency. And the clue of its positioning can be used for cognitive radio optimization.
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Rascon, Caleb, Oscar Ruiz-Espitia, and Jose Martinez-Carranza. "On the Use of the AIRA-UAS Corpus to Evaluate Audio Processing Algorithms in Unmanned Aerial Systems." Sensors 19, no. 18 (September 10, 2019): 3902. http://dx.doi.org/10.3390/s19183902.
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Audio analysis over an Unmanned Aerial Systems (UAS) is of interest it is an essential step for on-board sound source localization and separation. This could be useful for search & rescue operations, as well as for detection of unauthorized drone operations. In this paper, an analysis of the previously introduced Acoustic Interactions for Robot Audition (AIRA)-UAS corpus is presented, which is a set of recordings produced by the ego-noise of a drone performing different aerial maneuvers and by other drones flying nearby. It was found that the recordings have a very low Signal-to-Noise Ratio (SNR), that the noise is dynamic depending of the drone’s movements, and that their noise signatures are highly correlated. Three popular filtering techniques were evaluated in this work in terms of noise reduction and signature extraction, which are: Berouti’s Non-Linear Noise Subtraction, Adaptive Quantile Based Noise Estimation, and Improved Minima Controlled Recursive Averaging. Although there was moderate success in noise reduction, no filter was able to keep intact the signature of the drone flying in parallel. These results are evidence of the challenge in audio processing over drones, implying that this is a field prime for further research.
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Al-Qubaydhi, Nader, Abdulrahman Alenezi, Turki Alanazi, Abdulrahman Senyor, Naif Alanezi, Bandar Alotaibi, Munif Alotaibi, Abdul Razaque, Abdelaziz A. Abdelhamid, and Aziz Alotaibi. "Detection of Unauthorized Unmanned Aerial Vehicles Using YOLOv5 and Transfer Learning." Electronics 11, no. 17 (August 26, 2022): 2669. http://dx.doi.org/10.3390/electronics11172669.
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Drones/unmanned aerial vehicles (UAVs) have recently grown in popularity due to their inexpensive cost and widespread commercial use. The increased use of drones raises the possibility that they may be employed in illicit activities such as drug smuggling and terrorism. Thus, drone monitoring and automated detection are critical for protecting restricted areas or special zones from illicit drone operations. One of the most challenging difficulties in drone detection in surveillance videos is the apparent likeness of drones against varied backdrops. This paper introduces an automated image-based drone-detection system that uses an enhanced deep-learning-based object-detection algorithm known as you only look once (YOLOv5) to defend restricted territories or special zones from unauthorized drone incursions. The transfer learning to pretrain the model is employed for improving performance due to an insufficient number of samples in our dataset. Furthermore, the model can recognize the detected object in the images and mark the object’s bounding box by joining the results across the region. The experiments show outstanding results for the loss value, drone location detection, precision and recall.
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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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Alpert, Sofiia. "Satellite monitoring problems in the aerospace complex." Ukrainian journal of remote sensing, no. 27 (December 10, 2020): 26–30. http://dx.doi.org/10.36023/ujrs.2020.27.184.
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Задачі підсуNowadays with the rapid development of information technologies, UAV-based Remote Sensing (drone remote sensing) gives a new opportunities for conducting scientific research in a much more detail way. UAVs (unmanned aerial vehicles) give the opportunity to acquire data at sufficiently low cost. They also provide remote data more rapidly than piloted aerial vehicles. Nowadays drones are often used, because application of piloted aerial vehicles can be dangerous, difficult and expensive for some territories. Application of low altitude UAVs give a possibility to achieve images with a very high resolution and sufficient precision. In this article structure and main details of drones were considered. It also was noted, that technologies of UAV-based Remote Sensing are used in different areas.Agricultural drones help to analyze crops, make decisions on how to use the crop information and take the necessary actions to correct the problems. These unmanned aerial vehicles let to see fields from the sky. Agricultural drones are used to help increase crop production and monitor crop growth. Drones and sensors give a detail picture of fields. They can survey the fields periodically. Agricultural drones can reveal many issues such as soil variation, pest infestations and changes in the crops over time. They also show differences between healthy and unhealthy plants. Drones are flied over the crops and help to make decisions on how to proceed given the crop information. Nowadays there is a large capacity for growth in the area of agricultural unmanned aerial vehicles. With technology constantly improving, imaging of the crops will need to improve as well.Drones are used for exploring for minerals and mapping deposit sites, they are used in the oil and gas industry for remote monitoring. Drones can provide information of nature disasters and give help to assess property damage. They help to conduct forest monitoring and to assess plant health. Unmanned aerial vehicles are also used in a military capacity and ecological monitoring. It also was noted, that there is a large capacity for development and improvement of unmanned aerial vehicles.путникового моніторингу в аерокосмічному комплексі
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Hamzah, Robiah, and Mohammad Faizuddin Md. Noor. "Drone Aerial Image Identification of Tropical Forest Tree Species using the Mask R-CNN." International Journal of Innovative Computing 12, no. 2 (November 20, 2022): 31–36. http://dx.doi.org/10.11113/ijic.v12n2.381.
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Tropical forests have a wide variety of species and support environmental activities. The drone's image resolution is 90% more accurate than satellite data. It boosted productivity, safety, and the capacity to make better decisions by comparing archived and prospective images. Labeling tree species in heavily forested locations is labor-intensive, time-consuming, and expensive. This research seeks to design a new model for classifying tree species based on drone imagery, then test and assess its effectiveness. This study shows that drone technology can diminish productivity per hectare compared to conventional ground approaches. The study shows drones are more productive than ground approaches. The approach is feasible since it targets commercial timber species in the forest's higher stratum. Drones are cheaper than satellite data, therefore they're being used more in forest management and deep learning. Drones allow flexible, high-resolution data collection. This research uses Mask R-CNN to recognize and segment trees. This study uses high-resolution RGB images of tropical forests. The mAP, recall, and precision all performed well. Our suggested method yields a solid prediction model for detecting tree species, validated by 75% of ground truth data. This strategy can help plan and execute forest inventory, as shown. This initiative's success may lead to the first phase of a forest inventory, affecting the region's logging and forest management.
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Ajakwe, Simeon Okechukwu, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, and Jae Min Lee. "DRONET: Multi-Tasking Framework for Real-Time Industrial Facility Aerial Surveillance and Safety." Drones 6, no. 2 (February 15, 2022): 46. http://dx.doi.org/10.3390/drones6020046.
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The security of key and critical infrastructures is crucial for uninterrupted industrial process flow needed in strategic management as these facilities are major targets of invaders. The emergence of non-military use of drones especially for logistics comes with the challenge of redefining the anti-drone approach in determining a drone’s harmful status in the airspace based on certain metrics before countering it. In this work, a vision-based multi-tasking anti-drone framework is proposed to detect drones, identifies the airborne objects, determines its harmful status through perceived threat analysis, and checks its proximity in real-time prior to taking an action. The model is validated using manually generated 5460 drone samples from six (6) drone models under sunny, cloudy, and evening scenarios and 1709 airborne objects samples of seven (7) classes under different environments, scenarios (blur, scales, low illumination), and heights. The proposed model was compared with seven (7) other object detection models in terms of accuracy, sensitivity, F1-score, latency, throughput, reliability, and efficiency. The simulation result reveals that, overall, the proposed model achieved superior multi-drone detection accuracy of 99.6%, attached object identification of sensitivity of 99.80%, and F1-score of 99.69%, with minimal error, low latency, and less computational complexity needed for effective industrial facility aerial surveillance. A benchmark dataset is also provided for subsequent performance evaluation of other object detection models.
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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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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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Jain, Sameer, and Dhairyasheel Jagtap. "Improving Cut and Fill Operations in Construction using Drone Technology and Aerial Analytics." E3S Web of Conferences 405 (2023): 02008. http://dx.doi.org/10.1051/e3sconf/202340502008.
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The construction industry is always looking for new, creative ways to increase the effectiveness and precision of its operations. The use of drones for cut-and-fill operations in construction is one area where great progress has been made. Construction sites are now being surveyed by drones in order to gather data for analysis and decision-making. In this paper, we examine the usage of drones for cut and fill operations in construction and how they might be used in conjunction with aerial analytics technologies to produce better outcomes. We present a case study in which a construction site was surveyed by drones in order to gather topographic and elevational data. To create detailed maps and 3D models of the location, this data was analyzed using a suite of aerial analytics technologies. The article's findings demonstrate that traditional surveying techniques can be greatly sped up and cost-effectively replaced by drones in cut and fill construction operations. Additionally, using aerial analytics technologies enables a more precise and in-depth analysis of the collected data. As a result, we draw the conclusion that the application of drone technology and aerial analytics has the potential to transform the construction sector and boost project productivity.
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S, Rohan. "Optimizing ISR Capabilities: A Comparative Analysis of Unmanned Aerial Vehicles." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 9, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem33477.
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Military drones, or Unmanned Aerial Vehicles (UAVs), have revolutionized modern warfare by offering a safer, more cost-effective alternative to manned aircraft for intelligence, surveillance, and reconnaissance (ISR) missions. This paper reviews three prominent reconnaissance drones: the IAI Heron, the Textron Shadow, and the EADS Barracuda RQ-4. It compares their capabilities, focusing on factors like altitude, endurance, payload capacity, and mission applications. The paper concludes by highlighting the importance of selecting the right drone for specific mission requirements and acknowledges the ongoing development of drone technology and the ethical considerations surrounding their use.
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Alpert, Sofiia. "Main characteristics and perspectives of development of laser gyroscopes." Ukrainian journal of remote sensing 8, no. 1 (February 9, 2021): 4–9. http://dx.doi.org/10.36023/ujrs.2021.8.1.186.
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Nowadays unmanned aerial vehicles (drones) are applied for solution numerous remote sensing tasks. They give a new opportunites for conducting environmental monitoring and give images with a very high resolution. Unmanned aerial vehicles are applied for solution numerous agricultural problems. They give a detail picture of fields. Unmanned aerial vehicles are used to help increase crop production. With technology constantly improving, imaging of the crops will need to improve as well.Digital images obtained by unmanned aerial vehicles (drones) can be used in forestry, they are used for environmental monitoring, plant health assessment and analysis of natural disasters. Unmanned aerial vehicles are also used for mining, they are applied for mapping deposit sites, exploring for oil and gas, surveying mines.Laser gyroscope is an essential component of a drones flight control system. Laser gyroscopes provides orientation control of drone and essential navigation information to the central flight control systems. Laser gyroscopes provide navigation information to the flight controller, which make drones easier and safer to fly. Laser gyroscope is one of the most important components, allowing the drone to fly smooth even in strong winds. The smooth flight capabilities allows us to get images with high precision.Nowadays the main function of gyroscope technologies is to improve the unmanned aerial vehicles flight capabilities. It was described a structure and main characteristics of laser gyroscopes. It was noted, that laser gyroscope is operated on the principle of the Sagnac effect. Sagnac effect is a phenomenon encountered in interferometry that is elicited by rotation. It were described main advantages and disadvantages of laser gyroscopes. A comparative analysis of mechanical and laser gyroscopes was carried out too.It also was noted, that laser gyroscopes are applied in different areas, such as: inertial navigation systems, aircraft, ships, unmanned aerial vehicles (drones) and satellites. Nowadays laser technology is developed further. There are all prerequisites for improving the precision and other technical characteristics of laser gyroscopes.
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B. Andeli, Vrushali, and Shubhangi D. Mashalkar. "PHOTOGRAPHY WITH NANODRONE." International Journal of Engineering Applied Sciences and Technology 6, no. 8 (December 1, 2021): 183–85. http://dx.doi.org/10.33564/ijeast.2021.v06i08.030.
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Developments and modifications play a vital role in the technological advancements. Since last few years the aerial vehicles or drones have been a trending topic considering photography. Because of its wide range of applications and the day to day advancements in their feature drones have gained more popularity. In this paper, you will see how to build a Photography with nano drone, which can able to capture photo, video, flip image this application helps to make the rescuing process easy and safe, drones are implemented to extinguish the fire, disaster management, Agriculture, Aerial hotography, Movie production, measuring the scale of natural disaster, getting a glimpse of the unknown lands etc.
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Harvard, Jonas. "Post-Hype Uses of Drones in News Reporting: Revealing the Site and Presenting Scope." Media and Communication 8, no. 3 (July 27, 2020): 85–92. http://dx.doi.org/10.17645/mac.v8i3.3199.
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Camera-equipped drones have emerged as an increasingly commonplace tool for media to acquire aerial imagery. Previous research has mainly focused on the innovative aspects and creative potential of the technology. This article argues that early optimistic projections reflected a novelty effect, typical of a culturally embedded idea that new and better technologies continuously replace older ones. Using a historical theory which distinguishes techno-optimistic innovation discourse from actual observations of technology in use, photojournalists were interviewed on the role of drones in news reporting. The results show that the practitioners historicise drones, relating them to previous aerial technologies, and they reflect on current and future uses of drones in journalism based on a notion of phases, where early hype gives way to subsequent drone fatigue. Drones are seen by many as a more convenient tool to do things that journalism has done before, but the convenience increases the use of aerial imagery. The results also show that, although photojournalists see a wide range of potential uses, there are also limitations, including the ideals of the invisible observer, safety concerns, and the perils of over-aesthetic imagery. The post-hype uses of drone photography were summarized in two categories: (a) revealing the site, establishing ‘this happened here’ and (b) presenting scope, or showing how vast or large something is.
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Lykou, Georgia, Dimitrios Moustakas, and Dimitris Gritzalis. "Defending Airports from UAS: A Survey on Cyber-Attacks and Counter-Drone Sensing Technologies." Sensors 20, no. 12 (June 22, 2020): 3537. http://dx.doi.org/10.3390/s20123537.
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As the fastest growing segment of aviation, unmanned aerial systems (UAS) continue to increase in number, technical complexity and capabilities. Numerous civilian and commercial uses are drastically transforming civil protection, asset delivery, commercial and entertaining activities. However, UAS pose significant challenges in terms of safety, security and privacy within society. An increasing phenomenon, nowadays, is drone-related incidents near airport facilities, which are expected to proliferate in frequency, complexity and severity, as drones become larger and more powerful. Critical infrastructures need to be protected from such aerial attacks, through effective counteracting technologies, risk management and resilience plans. In this paper, we present a survey of drone incidents near airports and a literature review of sensor technologies, able to prevent, detect, identify and mitigate rogue drones. We exhibit the benefits and limitations of available counter-drone technologies (C-UAS); however, defending airports against misused drone activity is a hard problem. Therefore, we analyze three realistic attack scenarios from malicious drones and propose an effective C-UAS protection plan for each case. We discuss applicability limitations of C-UAS in the aviation context and propose a resilience action plan for airport stakeholders for defending against airborne threats from misused drones.
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Gupta, Myra. "Reinforcement Learning for Autonomous Drone Navigation." Innovative Research Thoughts 9, no. 5 (2023): 11–20. http://dx.doi.org/10.36676/irt.2023-v9i5-002.
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Drone navigation involves the process of controlling the movement and flight path of unmanned aerial vehicles (UAVs). It encompasses both the hardware and software systems that enable drones to navigate and maneuver autonomously or under the guidance of a human operator. The utility of drone navigation is vast and varied, making it a critical component in numerous industries and applications. Firstly, drone navigation plays a crucial role in aerial surveillance and reconnaissance. Drones equipped with advanced navigation systems can efficiently patrol large areas, monitor activities, and gather real-time data from various perspectives. This capability is particularly valuable in security and law enforcement operations, disaster response, and environmental monitoring, where access and visibility might be limited.
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Ingale, Abhishek, Mansi Vispute, Saurabh Sonawane, Hema Guthula, and Prof Dr Rajiv Iyer. "Hawk Eye Unmanned Aerial Vehicle for Monitoring." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 83–87. http://dx.doi.org/10.22214/ijraset.2022.42082.
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Abstract: Quadcopters are drones also known as unmannedaerial vehicles that can be controlled remotely. Quadcoptershave uses in various fields. The Components required in building the quadcopter are its frame, Pixhawk flight controller, brushless DC motors, propellers, High Definition (HD) camera, Global Positioning System (GPS), telemetry module. Aerial security means performing security-aimed monitoring and surveillance operations with the help of airborne vehicles. These kinds of activities suggest that human officers (security organizations, law enforcement, police etc.) would be able to remotely monitor and view video and data acquired from Drones while planning and evaluating their operations. The spectrum of applications where drones are used for Security purposes include scouting and reporting emergencies, monitoring accidents and crimes, surveillance of a certain landscape area, operating in highly busy and pedestrians as well as their tracking from up in the sky, and so on. The project will serve as a bridge to connect actual happening in areasthat cannot be navigated easily by security personnel of corporate institution as the Drone will be used to hover and record the actual happening as it transmit to a ground station which records and analyses the events as they stream in, Also, due its capability of flying over different altitudes the drone can generally be used on areas with rugged terrains or over water bodies for a time dependent on its power capacity. Keywords: drone, flood, Pixhawk, quadcopter, rescue,surveillance, image processing.
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Nwankwo Constance Obiuto, Igberaese Clinton Festus-Ikhuoria, Oladiran Kayode Olajiga, and Riliwan Adekola Adebayo. "REVIEWING THE ROLE OF AI IN DRONE TECHNOLOGY AND APPLICATIONS." Computer Science & IT Research Journal 5, no. 4 (April 10, 2024): 741–56. http://dx.doi.org/10.51594/csitrj.v5i4.1019.
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This comprehensive review delves into the transformative impact of artificial intelligence (AI) on drone technology, examining its pivotal role in revolutionizing various applications. As drones continue to evolve from recreational gadgets to indispensable tools across industries, the integration of AI enhances their capabilities, enabling advanced functionalities and expanding their potential use cases. The convergence of AI and drone technology has given rise to a myriad of applications, transforming industries ranging from agriculture to surveillance. Machine learning algorithms empower drones with autonomous navigation capabilities, allowing them to navigate complex environments and adapt to dynamic scenarios. Computer vision technologies enable drones to perceive and analyze visual information, facilitating tasks such as object recognition, tracking, and environmental monitoring. These advancements significantly contribute to enhanced aerial surveying, precision agriculture, and disaster response efforts. In the realm of precision agriculture, AI-equipped drones aid in crop monitoring, disease detection, and yield estimation, optimizing resource allocation and boosting agricultural productivity. Drones with AI-driven capabilities are increasingly employed in environmental monitoring, wildlife conservation, and disaster response, providing real-time data for efficient decision-making. Recent trends in AI-infused drone technology highlight its dynamic evolution. Edge computing solutions empower drones to process data locally, reducing latency and enhancing real-time responsiveness. Reinforcement learning algorithms enable drones to learn from their experiences, adapting and optimizing their performance over time. Swarm intelligence, an emerging field in drone technology, leverages AI to enable coordinated and synchronized actions among multiple drones, expanding their capabilities for collaborative tasks. In conclusion, this review sheds light on the pivotal role of AI in transforming drone technology and expanding its applications. The synergy between AI and drones has unlocked new possibilities across various industries, ranging from agriculture to disaster response. As technology continues to advance, the collaborative integration of AI and drones promises to redefine the future of aerial technology, introducing unprecedented efficiencies and capabilities across diverse sectors.
Keywords: Role, AI, Drone, Applications, Technology.
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Edelman, Harry, Joel Stenroos, Jorge Peña Queralta, David Hästbacka, Jani Oksanen, Tomi Westerlund, and Juha Röning. "Analysis of airport design for introducing infrastructure for autonomous drones." Facilities 41, no. 15/16 (July 21, 2023): 85–100. http://dx.doi.org/10.1108/f-11-2022-0146.
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Purpose Connecting autonomous drones to ground operations and services is a prerequisite for the adoption of scalable and sustainable drone services in the built environment. Despite the rapid advance in the field of autonomous drones, the development of ground infrastructure has received less attention. Contemporary airport design offers potential solutions for the infrastructure serving autonomous drone services. To that end, this paper aims to construct a framework for connecting air and ground operations for autonomous drone services. Furthermore, the paper defines the minimum facilities needed to support unmanned aerial vehicles for autonomous logistics and the collection of aerial data. Design/methodology/approach The paper reviews the state-of-the-art in airport design literature as the basis for analysing the guidelines of manned aviation applicable to the development of ground infrastructure for autonomous drone services. Socio-technical system analysis was used for identifying the service needs of drones. Findings The key findings are functional modularity based on the principles of airport design applies to micro-airports and modular service functions can be connected efficiently with an autonomous ground handling system in a sustainable manner addressing the concerns on maintenance, reliability and lifecycle. Research limitations/implications As the study was limited to the airport design literature findings, the evolution of solutions may provide features supporting deviating approaches. The role of autonomy and cloud-based service processes are quintessentially different from the conventional airport design and are likely to impact real-life solutions as the area of future research. Practical implications The findings of this study provided a framework for establishing the connection between the airside and the landside for the operations of autonomous aerial services. The lack of such framework and ground infrastructure has hindered the large-scale adoption and easy-to-use solutions for sustainable logistics and aerial data collection for decision-making in the built environment. Social implications The evolution of future autonomous aerial services should be accessible to all users, “democratising” the use of drones. The data collected by drones should comply with the privacy-preserving use of the data. The proposed ground infrastructure can contribute to offloading, storing and handling aerial data to support drone services’ acceptability. Originality/value To the best of the authors’ knowledge, the paper describes the first design framework for creating a design concept for a modular and autonomous micro-airport system for unmanned aviation based on the applied functions of full-size conventional airports.
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Emery, John R., and Daniel R. Brunstetter. "Drones as Aerial Occupation." Peace Review 27, no. 4 (September 18, 2015): 424–31. http://dx.doi.org/10.1080/10402659.2015.1094319.
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Xiao-Ying Wu, Xiao-Ying Wu, Xin-Qian Fan Xiao-Ying Wu, Bing-Yan Wei Xin-Qian Fan, and Qian-Han Zhang Bing-Yan Wei. "A Path Planning Method for Logistics Oriented Drone Flight Routes." 電腦學刊 34, no. 5 (October 2023): 179–87. http://dx.doi.org/10.53106/199115992023103405013.
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<p>This article mainly studies the path planning of unmanned aerial vehicle logistics delivery, considering the constraints in the process of unmanned aerial vehicle delivery, and establishes a unmanned aerial vehicle flight environment model based on logistics management. Based on the performance constraints and task requirements of logistics drones, a multi constraint logistics drone path planning model is established from the perspectives of transportation safety, economy, and speed. The established constraints include flight altitude, maximum angle constraints, energy consumption constraints, etc. Then, a hybrid algorithm is used to plan the drone path, and dynamic window algorithm is used for local path planning, Finally, the hybrid algorithm was fused through a smoothing strategy, and simulation experiments confirmed that the drone’s flight range, energy consumption, and planning time were significantly improved during the delivery process.</p> <p> </p>
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Garcia, Manuel, Ivan Maza, Anibal Ollero, Daniel Gutierrez, Idoia Aguirre, and Antidio Viguria. "Release of Sterile Mosquitoes with Drones in Urban and Rural Environments under the European Drone Regulation." Applied Sciences 12, no. 3 (January 25, 2022): 1250. http://dx.doi.org/10.3390/app12031250.
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In recent years, several countries have developed the use of sterile insect techniques (SIT) to fight against mosquitoes that transmit diseases. From a technical and economic point of view, the use of drones in the aerial release of sterile mosquitoes leads to important improvements in aerial coverage and savings in operational costs due to the requirement of fewer release sites and field staff. However, these operations are under the European drone regulation, one of the most advanced in the world. The main contribution and novelty of this paper with respect to previous work is the analysis of the SIT application with drones under the European risk-based regulation in two scenarios: urban and rural areas. The specific operations risk assessment (SORA) methodology has been applied to assess the risk of drone operations in these scenarios. The paper presents the operational requirements for aerial release of mosquitoes with drones along with the regulatory considerations that must be applied. Finally, an overview of the conditions in operation that could relax risks and mitigation measures is also discussed.
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Sen, Aayush. "Efficient Charging and Power Management System for Drone Fleets: Revolutionizing Aerial Operations." Innovative Research Thoughts 9, no. 5 (2023): 21–32. http://dx.doi.org/10.36676/irt.2023-v9i5-003.
Full textAbstract:
Unmanned Aerial Vehicles (UAVs), sometimes known as drones, have become more widespread in a variety of industries, ranging from agricultural and infrastructure inspection to emergency response and surveillance. This proliferation demonstrates drones' transformational potential in optimizing operational efficiency, data collection, and cost-effectiveness. However, as the applications of drone technology expand and the demand for their services grows, an urgent need for an effective charging and power management system for drone fleets develops. Several essential reasons highlight the need for better charging and power management infrastructure. For starters, the increasing breadth and length of drone operations necessitate a dependable and simplified power supply method. Drones are increasingly being charged with operations that need continuous power delivery for hours or even days. A trustworthy power management system is critical for conducting large-scale surveys, monitoring vast agricultural regions, or providing critical airborne help in crises.
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Anderson, Karen, Brandi M. Shabaga, Serge Wich, Geoff Fink, Martin Barczyk, Jarrod Hodgson, and Dominique Chabot. "New topic horizons for drone systems and applications." Drone Systems and Applications 11 (January 1, 2023): 1–7. http://dx.doi.org/10.1139/dsa-2023-0019.
Full textAbstract:
Summary This journal (Drone Systems and Applications; DSA) conducted a targeted “horizon scan” during 2022 within our team of editors and associate editors. We asked— Which research areas currently under-represented in Drone Systems and Applications would you like to see more heavily represented in the future? The process highlighted five areas of interest and potential growth: Drones in the geosciences Aquatic drones Ground drones Drones within calibration/validation experiments Drones and computer vision Over the past two years (2020–22), the journal has published over 50 papers with a strong leaning towards aerial drones for ecology and also with an engineering focus. DSA is keen to receive new submissions addressing the five highlighted areas, which lie firmly within the aims and scope of the journal. Further to the horizon scan, we propose two special collections for the coming year—one addressing drone applications ( drones in geoscience applications) and a second addressing drone systems ( aquatic drone systems). We would like to hear from scientists and practitioners in these fields as both contributors and (or) collection editors.
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Matthews, G. A. "The Role for Drones in Future Aerial Pesticide Applications." Outlooks on Pest Management 32, no. 5 (October 1, 2021): 221–24. http://dx.doi.org/10.1564/v32_oct_10.
Full textAbstract:
Aircraft have been used to apply pesticides for decades, but their use has been largely confined to spraying crops grown on very large fields, mostly in north, central and south America. Aerial spraying has also been vital in controlling locust swarms spread over vast areas. The development of unmanned aircraft, known as drones, has benefitted smallscale farmers as the drone can be controlled effectively over specific areas. Drones have also benefitted vector control by detecting the breeding sites of mosquitoes, which can be sprayed subsequently with larvicides, or controlled by applying space sprays. Smaller drones are an important way of replacing ground methods in difficult to reach areas such as wetlands, steep terrain for vineyards, and small areas of trees.
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Quigley, Laura, Callum Walter, and Laurie Whitesell. "Near-Surface Views & News: A wrap on the 2021 Summit on Drone Geophysics and launch of the 2022 event." Leading Edge 41, no. 2 (February 2022): 150–51. http://dx.doi.org/10.1190/tle41020150.1.
Full textAbstract:
The 2021 edition of the annual Summit on Drone Geophysics was conducted virtually from 2 to 5 November. The event expanded on the first Summit on Drone Geophysics and all previous efforts related to drones, unmanned aerial vehicles (UAVs), and unmanned aerial systems (UASs) that have been conducted as SEG Annual Meeting postconvention workshops since 2017.
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D., Mototolea. "Counter-Unmanned Aerial Systems." Scientific Bulletin of Naval Academy XXII, no. 1 (July 15, 2019): 192–95. http://dx.doi.org/10.21279/1454-864x-19-i1-026.
Full textAbstract:
Counter-unmanned aerial systems (C-UAS), or counter-drone technology, refers to complex systems that are used to detect, locate, track and take over/down unmanned aerial vehicles. The proliferation of C-UAS technology accelerates due to the increasing number of incidents with commercially available drones that happen almost daily around the globe. This paper provides a background on how the technology works, when is applicable and what are the ups and downs.