Relevant bibliographies by topics / Aerial drones

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

Academic literature on the topic 'Aerial drones'

Author: Grafiati
Published: 7 September 2021
Last updated: 6 July 2024

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Journal articles on the topic "Aerial drones"

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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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Dissertations / Theses on the topic "Aerial drones"

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

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Through out history, technological advancements have reshaped the built environment and its Architecture. The cities that we live in today were only made possible by the technologies of the first, second, and third industrial revolutions. Today, we are witnessing another technological revolution based on open source data and artificial intelligence. As there is an enormous amount of prosperous innovations that would directly impact Architecture design tools, building and finishing materials, and construction methods, there are also other innovations that would require spaces, buildings, and cities to be designed to accommodate them. Among the latter mentioned innovations is the Unmanned Aerial Vehicle (UAV), also know as drones. Like the automobile, drone technology will influence not only the way we live but also our design thinking and the components of our built environment. Along with drone�s ability to fly, UAV�s digital infrastructure is much more flexible and most importantly, invisible. Autonomous Drones� intelligent abilities allow them to provide a wide range of services in various fields such as; freight and delivery, transportation, infrastructure and buildings maintenance, survey, surveillance, policing, fire fighting, agriculture, and even construction, all of which will effectively reduce the amount of ground vehicle traffic, especially in populated cities. Today, as these possibilities are available and constantly under development, it is important for Architecture and Urban Design disciplines to address the challenge and provide comprehensive solutions to accommodate such a technology and allow its possibilities to prosper even further. The intent of this thesis is to study UAV technology and design a mix-use complex that embraces and accommodates UAV services such as; delivery, transport, freight, and maintenance. The complex hosts a residential tower, a vertical garden tower, ground level commercial spaces, and an underground drone hub.
MArch
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Olsson, Sofia. "Drones in Arctic Environments: Development of Automatic Water Sampler for Aerial Drones." Thesis, KTH, Maskinkonstruktion (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236506.

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The purpose of the thesis is to develop a water samplingsolution to use with an aerial drone for remote water sampling and to investigate the feasibility of the system. The actuating hypothesis is that using a drone for this application will have many benefits over the manual methods, for example to reach inhospitable areas, improve data gathering and offer a safer work situation for the researchers. The research method has been empirical and exploring, by rapidly develop prototypes based on a pre-study, test the full test system and draw conclusions regarding the feasibility of the application based on the tests. Through the pre-study of the current water sampling process through interviews and a survey, a general user case was created. It was studied with a mechatronic perspective to understand how the current water sampling process could be adjusted to function remotely with a drone. The main focuses when developing the water sampler was to design a product independent from the drone with full automatic function, and to maximize its water volume capacity while minimizing the weight of the sampler to manage the drones barload constraints of 1 kg. Through workshop activities and methods from TRIZ theory, several concepts were evaluated. The main idea was to integrate the laboratory bottle with the water sampler. Two physical prototypes were designed to test the function of the concepts and evaluate them against the Ruttner sampler. The first prototype, the Wheel, has a simple design, is lightweight and mechanic while the second prototype, the Combination, is more complex, heavier and uses a mechatronic system. The prototypes were evaluated through functional tests to investigate its design and suitability to be used with a drone for water sampling. The behavior of the full test system, consisting of the Wheel sampler and a drone, was observed and analyzed through drone data when gathering water samples. The thesis demonstrates through field tests that the system, consisting of drone and developed water sampler, succeeds in gathering water samples remotely. Through tests of the water samplers, the thesis also shows the benefits and disadvantages of their proposed design for water sampling.
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Homburg, Nick Jr. "Aerial eyewitness: A pilot study of drone use in journalism." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/35372.

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Master of Science
Department of Journalism and Mass Communications
Tom Hallaq
Unmanned Aerial Systems (UAS), or drones as they are commonly known, could allow journalists to report the news like never before. A drone is a tool with great potential, yet fraught with controversy as the result of its military past. In 2012, the Unmanned Aerial System had become domesticated and could have become the hottest new technology since the cell phone. The first unmanned systems came to service gathering intelligence and in the delivery of lethal and non-lethal payloads for the military. With the domestication of UAS technologies, not only have numerous commercial uses been revealed for the UAS, the drone has made it to the hands of the general public, raising concerns of how this technology is to be used. At the time of this thesis, in the United States, the only legal use of UAS was by hobbyists. Also, at the time of this thesis, the Federal Aviation Administration (FAA) had not provided comprehensive regulations or guidelines regarding the commercial use of UAS platforms (FAA, 2015). Of the many uses purposed for UAS platforms, one use of interest for journalists is the increased potential for newsgathering and surveillance. With UAS/drone technologies becoming increasingly more available, concerns are raised about safety, privacy, context, and the integrity of news source or (conflict of interest). The researcher interviewed working journalists from four major networks with stations located in states mandated as test sites by the FAA. The journalists were asked about their concerns pertaining to the ethical uses of drone for journalistic newsgathering. The interviews reveled that with proper training, regulations, and common sense the concerns about safety, privacy, context, and conflict of interest could be moderated.
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Babenko, A. "Are weareable drones our future?" Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/40481.

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Unmanned aerial vehicles (UAVS), also known as drones, are aircraft either controlled by 'pilots' from the ground or increasingly, autonomously following a pre-programmed mission. When people firstly hear about drones, they think only about the ability to take a selfie or reconnaissance and surveillance purposes, however, there are bigger things on the horizon for little flying machines.
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Nagori, Chinmay. "Unmanned Aerial Manipulators in Construction - Opportunities and Challenges." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/101663.

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Unmanned Aerial Vehicles (UAVs) have now been accepted as an alternative medium to human workers for data collection processes in various industries. The capabilities of UAVs are now being extended from passive tasks of data collection to active tasks of interacting with the environment by equipping them with robotic arms and function as Unmanned Aerial Manipulators (UAMs). Research on Unmanned Aerial Manipulators has been growing in the last few years. The applications of UAMs in terms of sensor installation, inspections, door opening, valve turning, pick and drop, etc. have been studied for the oil and gas industry, and civil applications, etc. However, there is a lack of studies in understanding applications of UAMs and their capabilities in construction and in advancing construction activities. The goal of this research is to identify potential opportunities and challenges of the application of UAM in construction projects. The study will undertake an extensive literature review and semi-structured interviews with industry experts to address research questions. This study will have a significant contribution to the introduction and development of new contact-based UAV-guided technologies in construction.
Master of Science
Drones or Unmanned Aerial Manipulators have been used in the construction industry to collect visual data in form of images, videos, or to map surveys, and visually inspect the structures. However, if equipped with a robotic arm, they attain the capability of touching and interacting with the environment to effectively function as an Unmanned Aerial Manipulator (UAM). UAMs have researched for various applications such as sensor installation, touch-based sensor inspections, door opening, and closing, and pick up and drop, etc. However, there is a lack of study for their opportunities and challenges in the construction industry. This research focuses on understanding the opportunities and challenges associated with the application of UAMs in the construction industry.
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Kirk, Tyler B. "Attack of the drones| Unmanned Aerial Vehicles and moral problems." Thesis, State University of New York at Albany, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1555262.

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The frequency of use of Unmanned Aerial Vehicles for combat by the United States has increased dramatically in recent years. Since this technology has comprised a significant portion of American counter-terror operations abroad and there are virtually no signs of this practice slowing or ceasing in the foreseeable future, it is necessary to closely examine the ethical implications of remote-control warfare. At first glance, arguments supporting the use of "drones" seem robust and sensible: in theory, they save American military lives. But upon further investigation, the use of drones in practice actually creates morally murky, problematic situations that could lead to great transgression of the laws of a just war. I argue that for all its apparent benefits, drone use thrusts modern warfare at large into an ethically unprecedented arena of vast asymmetry between opposing forces and what this means for the authorized use of force in wartime.

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Ursulian, Alexander-Albert, and Олександр-Альберт Ігорович Урсулян. "Last mile delivery by drones." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50554.

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1. Organization for economic co-operation and development (OECD), Delivering The Goods: 21st Century Challenges to Urban Goods Transport, 2003, p. 7-17, Available at: https://www.itf-oecd.org/sites/default/files/docs/03deliveringgoods.pdf 2. Hassanalian, M., & Abdelkefi, A. (2017). Classifications, applications, and design challenges of drones: A review. Progress in Aerospace Science, p. 91. Available at: https://doi.org/10.1016/j.paerosci.2017.04.003 3. Goodchild, A., & Toy, J. (2017). Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducing CO2emissions in the delivery service industry. Transportation Research Part D: Transport and Environment, p. 61. Available at: https://doi.org/10.1016/ j.trd.2017.02.017. 4. Singireddy, R. S. R., & Daim, T. U. (2018). Technology Roadmap : Drone Delivery – Amazon Prime Air. In T. Daim & C. L. EJ (Eds.), Infrastructure and Technology Management. Innovation, Technology, and Knowledge Management (pp. 387–412).
Transportation is one of the core foundations of global economies, consisting of a variety of individual networks and their interconnections that are designed to meet people's and goods' mobility needs. Transportation systems are made up of a large number of physical and organizational components and are characterized by a high level of inherent complexity that’s why very often organization infrastructure and logistics of a city can’t always keep up with increased consumer demand. One option of solution would be to use ecologic and effective drones for urban deliveries.
Транспорт є однією з основних основ світової економіки, що складається з різноманітних окремих мереж та їх взаємозв’язків, призначених для задоволення потреб у мобільності людей та товарів. Транспортні системи складаються з великої кількості фізичних та організаційних компонентів і характеризуються високим рівнем властивої їм складності, тому дуже часто організаційна інфраструктура та логістика міста не завжди можуть встигати за зростанням споживчого попиту. Одним із варіантів рішення було б використовувати екологічні та ефективні безпілотники для міських перевезень.
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Howard, Stephen P. "Special Operations Forces and Unmanned Aerial Vehicles Sooner or Later? /." Maxwell AFB, Ala. : Air University Research Coordinator Office, 1998. http://www.au.af.mil/au/database/research/ay1995/saas/howardsp.htm.

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Thesis (M.M.A.S.)--School of Advanced Airpower Studies, 1995.
Subject: An analysis of whether Special Operations Forces should use Unmanned Aerial Vehicles to support intelligence, surveillance, reconnaissance, communications and re-supply capability deficiencies. Cover page date: June 1995. Vita. Includes bibliographical references.
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Sharma, Aman. "System Identification of a Micro Aerial Vehicle." Thesis, Luleå tekniska universitet, Rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-73070.

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The purpose of this thesis was to implement an Model Predictive Control based system identification method on a micro-aerial vehicle (DJI Matrice 100) as outlined in a study performed by ETH Zurich. Through limited test flights, data was obtained that allowed for the generation of first and second order system models. The first order models were robust, but the second order model fell short due to the fact that the data used for the model was not sufficient.
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Abdallah, Rana. "Reliability approaches in networked systems : Application on Unmanned Aerial Vehicles." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA008/document.

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Les véhicules aériens sans pilote (UAVs), utilisés et développés pour la première fois dans le domaine militaire, ont connu de profonds changements ces dernières années et sont de plus en plus utilisés dans le domaine civil. Etant plus connus sous le nom des drones, ils sont le plus souvent utilisés dans les domaines civiles et militaires. Ils sont employés pour : la lutte contre les incendies, le sauvetage ainsi que dans des applications spécifiques comme la surveillance et l’attaque. Le vol en formation est de loin le plus utilisé car il permet une répartition judicieuse des tâches et améliore grandement l’efficacité des drones (principe de l’attaque en meute, des animaux carnassiers). Cela pose alors la problématique de la coordination et de la stratégie, ainsi que du type de fonctionnement (maitre/esclave,…).Le type et la qualité d’informations optimums restent aussi à définir.L'utilisation accrue de ces systèmes coopératifs dans des environnements dangereux rend leur fiabilité essentielle pour prévenir tout événement catastrophique. Une performance globale de la flotte des drones doit être garantie, malgré une possible dégradation des composants ou de toute modification du réseau et de l'environnement. Il est nécessaire de détecter les comportements anormaux pouvant contribuer aux collisions et ainsi affecter la mission. Compte tenu des performances et du coût, les systèmes à tolérance de pannes et à redondance ne représentent pas toujours la solution la plus efficace pour ce type de vol de flotte en formation. Différentes méthodes telles que l'analyse par arbre de défaillance (ADD), l'analyse des modes de défaillance, de leurs effets et de leurs criticités (AMDEC) ont été utilisées dans le monde des hélicoptères.Dans une première partie, une méthode statique basée sur l’ADD est proposée, pour assurer la fiabilité de la communication entre les drones d’un côté et entre les drones et la station de base de l’autre côté en accentuant l’échange de flux d’informations. Nous utilisons des arbres de défaillance pour représenter les différentes conditions d’erreur de ce système complexe.Dans une deuxième partie, nous analysons les différents états de défaillance des communications et leurs probabilités. Ce processus étant stochastique, une approche par chaîne de Markov absorbante est développée. L’approche proposée peut être utilisée pour trouver les scenarios les plus risqués et les éléments à prendre en compte pour améliorer la fiabilité.Enfin, dans une troisième partie, nous étudions le problème de réception des messages d’un drone en proposant un protocole basé sur le nombre de retransmissions. La réception est assurée avec une certaine probabilité de fiabilité, en fonction de plusieurs attributs tels que la modulation, le taux d’erreur des bits (BER) caractérisant les drones
Unmanned aerial vehicles, used and developed initially in the military field, have experienced profound changes in recent years and are increasingly used in the civilian field. Recognized as drones, they are most often used in the civil and military domains. They are used for firefighting, rescue as well as in specific applications such as surveillance and attack. The formation flight is the most used because it allows a judicious distribution of the tasks and greatly improves the efficiency of the drones (principle of the attack in pack, carnivorous animals). This will raise the issue of coordination and strategy, as well as the type of operation (master /slave, ...). The type and quality of optimal information also remain to be defined.The increased use of these cooperative systems in hazardous environments makes their reliability essential to prevent any catastrophic event. Overall performance of the drone fleet should be ensured, despite possible degradation of components or any changes that occur to the network and the environment. It is necessary to detect the anomalous behaviors that might contribute to collisions and thus affect the mission. Taking into consideration performance and cost, the fault-tolerant system and redundant systems are not always the most efficient solution for the formation fleet flight. Different methods like the fault tree analysis (FTA), Failure Modes and Effects Analysis (FMEA) have been used in the helicopter field.In the first part, we propose a static method based on FTA, to ensure a successful communication between the drones from one side, and between the drones and the ground station from the other side by emphasizing on the exchange of information flows. It uses various fault trees to represent the different error conditions of this complex system.In the second part, we analyze the different fault states and their probabilities. As this process is stochastic, an absorbing Markov chain approach is developed. The proposed approach can be used to find the most risky scenarios and considerations for improving reliability.Finally, in the third part, we put the emphasis on the message receipt problem in a drone’s communication network by proposing a protocol based on number of retransmissions. The reception of a message is provided with a certain probability of reliability depending on several attributes such as modulation and bit error rate (BER) characterizing the UAVs
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Books on the topic "Aerial drones"

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

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Chauprade, Lionel. Les drones aériens. Toulouse, France: Cépaduès éditions, 2014.

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Stephens, Richard B. Using drones in planning practice. Chicago, IL: American Planning Association, 2020.

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Centre d'études stratégiques aérospatiales (Paris, France), ed. Les drones aériens: Passé, présent et avenir : approche globale. Paris: La Documentation française, 2013.

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Gallais, Sébastien. Cadre juridique de l'emploi des drones au combat. Paris: L'Harmattan, 2013.

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

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R, Swaminathan. Drones & India: Exploring policy and regulatory challenges posed by civilain unmanned aerial vehicles. New Delhi: Observer Research Foundation, 2015.

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

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Karthikeyan, P., Sathish Kumar, and V. Anbarasu, eds. Drone Data Analytics in Aerial Computing. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5056-0.

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

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Book chapters on the topic "Aerial drones"

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Szabó, Gergely, László Bertalan, Norbert Barkóczi, Zoltán Kovács, Péter Burai, and Csaba Lénárt. "Zooming on Aerial Survey." In Small Flying Drones, 91–126. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66577-1_4.

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Završnik, Aleš. "Drones, Resistance and Countersurveillance." In Drones and Unmanned Aerial Systems, 243–66. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_11.

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Andrejevic, Mark. "Theorizing Drones and Droning Theory." In Drones and Unmanned Aerial Systems, 21–43. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_2.

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

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Goldberg, David. "Droning on About Journalism: Remotely Piloted Aircraft and Newsgathering." In Drones and Unmanned Aerial Systems, 217–41. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_10.

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Sandvik, Kristin Bergtora. "The Political and Moral Economies of Dual Technology Transfers: Arming Police Drones." In Drones and Unmanned Aerial Systems, 45–66. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_3.

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Gorkič, Primož. "The (F)utility of Privacy Laws: The Case of Drones?" In Drones and Unmanned Aerial Systems, 69–81. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_4.

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Milivojevic, Sanja. "Re-bordering the Peripheral Global North and Global South: Game of Drones, Immobilising Mobile Bodies and Decentring Perspectives on Drones in Border Policing." In Drones and Unmanned Aerial Systems, 83–100. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_5.

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Marin, Luisa, and Kamila Krajčíková. "Deploying Drones in Policing Southern European Borders: Constraints and Challenges for Data Protection and Human Rights." In Drones and Unmanned Aerial Systems, 101–27. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_6.

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De Groof, Mélanie. "Death from the Sky: International Legal and Practical Issues on the Use of Armed Drones." In Drones and Unmanned Aerial Systems, 131–56. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23760-2_7.

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Conference papers on the topic "Aerial drones"

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Deevi, Abhinay RamRaj, Prasant Misra, and P. Balamurali. "Aerial Drones with Ears." In SenSys '16: The 14th ACM Conference on Embedded Network Sensor Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2994551.2996695.

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Saracin, Cristina Gabriela, Ioan Dragos, and Aurel Ionut Chirila. "Powering aerial surveillance drones." In 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE). IEEE, 2017. http://dx.doi.org/10.1109/atee.2017.7905185.

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Bluman, James, Davonte Carter Vault, Wei Kang Soon, Ruth Talbott, Jonathan Willis, Andrew Kopeikin, and Ekaterina Prosser. "Autonomous Drone Delivery From Airdrop Systems (ADDAS): Aerially Deploying Folding-Wing Drones for Ground Reconnaissance." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24046.

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Abstract Extending the long-range capabilities of unmanned aerial systems (UAS) is paramount to protecting small Soldier teams operating in remote battlefield scenarios. Currently, many small Unmanned Aerial Systems (sUAS) reconnaissance assets have the range necessary to facilitate small-unit missions. The purpose of this paper is to detail the design and testing of a system that fills this capability gap by creating folding-wing drones designed to be aerially deployed from an airdropped dispenser. The dispenser is attached to the Joint Precision Airdrop System (JPADS), which is an autonomously navigated cargo delivery parafoil that can glide several miles, and which can land within 100 meters of its target. To employ the system, the dispenser is launched from a high-altitude aircraft. The system must survive the opening of the parachute in high speed forward flight and provide cushioning to the drones and other components. Once the JPADS navigates the dispenser to a predetermined altitude and distance from the intended reconnaissance area, the dispenser deploys multiple folding-wing drones. The soldiers on the ground can access the drones’ live video feeds through a handheld video transmitter. The system combines the precision navigation and information-transmission capabilities of the fixed wing drone with the long-range capabilities of the JPADS. With a commercial-off-the-shelf drone as the folding-wing aircraft platform, the team designed a wing connection hub that allows for rapid folding and unfolding of the drone’s wings, a separate canister for each drone within the dispenser, and a dispenser capable of interfacing with both the canisters and the JPADS. Though currently in the technology-demonstration phase of the project, the team envisions the system being fully autonomous from launch of dispenser to end of mission.
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Sönmez, Maria, Cristina-Elisabeta Pelin, Mihai Georgescu, George Pelin, Maria Daniela Stelescu, Mihaela Nituica (Vilsan), George Stoian, Laurentia Alexandrescu, and Dana Gurau. "Unmanned Aerial Vehicles – Classification, Types of Composite Materials Used in Their Structure and Applications." In The 9th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2022. http://dx.doi.org/10.24264/icams-2022.i.11.

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Unmanned aerial vehicles (UAV) or drones, due to their versatility can be used in a wide range of applications, from army missions to industrial ones. With all these capabilities, the widespread use of drones in smart cities is limited, due to problems and concerns related to safety (their crash for technical reasons, collision in the air with other planes, extreme natural weather), confidentiality (hackers can use malicious applications to exploit and obtain personal data / profiles of people using the wireless location method) and security (thanks to the technology inside the drone-GPS, Wi-Fi that could be hacked/destroyed by attackers). Currently there are many types of drones classified by size, weight, altitude, endurance, landing method (VTOL, HTOL), etc. However, these parameters vary depending on the application of the drone. The performance of drones is focused on the type of built-in electronics but also on the material used to make it. All modern drones are equipped with a series of sensors and other communication systems, increasing inevitably the total weight and reducing the flight time. Therefore, weight reduction is a vital parameter to build the drone's body/structure (generally using thermosetting fibers and resins) without compromising their resistance. Thus, high strength-to-weight ratio, facilitates maneuverability, reduces energy consumption, increases the ability to carry more payload, flight time, etc. The use of composites compared to aluminum reduces weight by 15-45%, increases corrosion, fatigue, impact resistance, reduces noise and vibrations. The composites most used for manufacturing the structure of UAVs (fuselage, wing, landing gear) are: polymers reinforced with carbon fibers (CFRP), polymers reinforced with fiberglass (GFRP), boron and aramid fibers.
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Kosovac, Amel, Muharem Šabić, Ermin Muharemović, and Edvin Šimić. "Shipment delivery challenges using unmanned aerial vehicles." In INTERNATIONAL CONFERENCE ON ADVANCES IN TRAFFIC AND COMMUNICATION TECHNOLOGIES. University of Sarajevo - Faculty of Traffic and Communications, 2022. http://dx.doi.org/10.59478/atct.2022.22.

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A UAV (Unmanned Aerial Vehicle) is an unmanned aerial vehicle or aircraft that can be monitored remotely or flown independently using a pre-programmed flight plan. Simply, a drone is a selfpropelled vehicle heavier than air. From their beginnings and first forms to modern drones as we know them today, people have discovered many areas for their application. As the power and carrying capacity of drones has grown, so does the possibility of using them for different purposes such as logistics and postal services. The main advantage of drones in urban areas is the independence from road infrastructure and fast delivery, but several challenges need to be addressed for this type of delivery to be competitive with other modes. Many projects have dealt with this topic, but none of them has widespread use to this day. In this paper, we will present the basic challenges that arise in the use of drones for shipment delivery. The paper will present activities that should be prioritized to make a competitive type of service. The paper will present also the advantages over other types of shipment delivery and the current limitation with a future possible research area.
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Mohapatra, Pragyan, Akshaya Ramaswamy, Jayavardhana Gubbi, A. Anil Kumar, and Prasant Misra. "Aerial Drones with Direction Sensitive DeepEars." In MobiSys '18: The 16th Annual International Conference on Mobile Systems, Applications, and Services. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3213526.3213530.

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Camara, Daniel. "Aerial drones fleet for rescue operations." In 2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC). IEEE, 2015. http://dx.doi.org/10.1109/ursi-at-rasc.2015.7303089.

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Zhang, Steven, and Yu Sun. "An Intelligent Drone System to Automate the Avoidance of Collison using AI and Computer Vision Techniques." In 2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111404.

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People love to fly drones, but unfortunately many end up crashing or losing them. As the technology of flying drones improves, more people are getting involved. With the number of users increasing, people find that flying drones with sensors is safer because it can automatically avoid problems, but such drones are expensive. This paper describes an inexpensive UAV (unmanned aerial vehicle) system that eliminates the need for sensors and uses only the camera to avoid collisions. This program helps avoid drone crashes and losses. We used the Tello Education drone as our testing drone, which is only outfitted with a camera. Using the camera feed and transmitting that data to the program, the program will then give commands to the drone to avoid collisions.
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Mediavilla, Chelsea, Lena Nans, Diego Marez, and Shibin Parameswaran. "Detecting aerial objects: drones, birds, and helicopters." In Artificial Intelligence and Machine Learning in Defense Applications III, edited by Judith Dijk. SPIE, 2021. http://dx.doi.org/10.1117/12.2600068.

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Gotzy, Marton, Daniel Hetenyi, and Laszlo Blazovics. "Aerial surveillance system with cognitive swarm drones." In 28th International Conference 2016. Cybernetics & Informatics (K&I). IEEE, 2016. http://dx.doi.org/10.1109/cyberi.2016.7438593.

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Reports on the topic "Aerial drones"

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Desa, Hazry, and Muhammad Azizi Azizan. OPTIMIZING STOCKPILE MANAGEMENT THROUGH DRONE MAPPING FOR VOLUMETRIC CALCULATION. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.004.

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Stockpile volumetric calculation is an important aspect in many industries, including construction, mining, and agriculture. Accurate calculation of stockpile volumes is essential for efficient inventory management, logistics planning, and quality control. Traditionally, stockpile volumetric calculation is done using ground-based survey methods, which can be time-consuming, labour-intensive, and often inaccurate. However, with the recent advancements in drone technology, it has become possible to use drones for stockpile volumetric calculation, providing a faster, safer, and more accurate solution. The duration of this project is one year, from May 1st, 2019, until April 30th, 2020, and is comprised of two primary research components: analyzing the properties and classification of limestone and conducting digital aerial mapping to calculate stockpile volumetrics. The scope of this technical report is specifically limited to the aerial mapping aspect of the project, which was carried out using drones. The project involved two phases, with drone flights taking place during each phase, spaced about six months apart. The first drone flight for data collection occurred on July 12th, 2019, while the second took place on December 15th, 2020. The project aims to utilize drone technology for stockpile volumetric calculation, providing a more efficient and cost-effective solution. The project will involve the use of advanced drone sensors and imaging technology to capture high-resolution data of the stockpile area. The data will then be processed using sophisticated software algorithms to generate accurate 3D models and volumetric calculations of the stockpile.
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Grand-Clément, Sarah, and Theò Bajon. Uncrewed Aerial Systems: A Primer. UNIDIR, October 2022. http://dx.doi.org/10.37559/caap/22/erc/12.

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The production and use of uncrewed aerial systems (UASs) – which include vehicles that can be piloted either remotely or semi-autonomously – has increased. This primer introduces the different types of UAS (otherwise known as drones), including fixed-wing systems and rotary-wing systems such as quadcopters. It describes their key components and functions, as well as outlining the main challenges that these systems can pose to international security. The focus of the primer is on describing the main areas of technological innovation and development related to the key components that comprise UASs, outlining the anticipated areas of progress and potential concern.
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She, Ruifeng, and Yanfeng Ouyang. Analysis of Drone-based Last-mile Delivery Systems under Aerial Congestion: A Continuum Approximation Approach. Illinois Center for Transportation, August 2023. http://dx.doi.org/10.36501/0197-9191/23-014.

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This paper presents a systematic analysis and design framework for a spectrum of last-mile delivery systems that leverage unmanned aerial vehicles (UAVs). Four distinct modes are considered: (1) direct drone deliveries from a fixed depot; (2) drone deliveries from parked trucks that carry bulk parcels to customer neighborhoods; (3) drone deliveries from nonstopping trucks that tour customer neighborhoods; and (4) as a benchmark, traditional truck-based home deliveries. We present a new continuum-approximation approach that is used for analysis of both truck routing and aerial-UAV traffic. We compared the operational cost and efficiency of different delivery schemes to reveal how a certain scheme is the most efficient under various scenarios. We demonstrate the applicability of our model on expansive real-world roadway networks and further conduct analysis on grid networks, yielding key analytical insights. The drone-based delivery is demonstrated to be superior to conventional truck-only delivery, suggesting a significant potential for socioeconomic benefit. It is observed that when servicing a relatively low demand over a small area, dispatching drones directly from the distribution facility is the most efficient method. As the demand grows or spans a wider area, collaborative strategies are preferred, as they better cope with certain aspects, such as the long line-haul cost or the ramping aerial congestion, by striking a balance between efficiency and flexibility.
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Yue, Yunfeng. The Value of Unmanned Aerial Systems for Power Utilities in Developing Asia. Asian Development Bank, July 2021. http://dx.doi.org/10.22617/wps210213-2.

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Unmanned aerial systems (UAS) such as drones are increasingly being used to automate the planning, building, and maintenance of energy facilities around the world. The effectiveness of UAS and digital technologies are transforming energy sector operations to be faster, safer, and more cost-efficient. This working paper introduces UAS and discusses the latest technological developments as well as current applications. It also assesses the feasibility of UAS adoption in developing Asia’s power sector.
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Borràs Castelló, Fernando, and Joaquín Hopfenblatt Hours. Drones, el cambio de paradigma al alcance de toda la minería. Ilustre Colegio Oficial de Geólogos, October 2021. http://dx.doi.org/10.21028/fbc.2021.10.08.

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Uno de los últimos elementos que han irrumpido en el cambio a nivel tecnológico de manera contundente y cada vez más ruidosa son los (unmanned aerial vehicle – UAV) más conocidos como drones y no solo por las bellas imágenes que nos entregan. Sin ir más lejos, estos días no paramos de ver en la Palma a diferentes equipos de pilotos de drones como los de los del IGME que están marcando la diferencia en el estudio, monitoreo y toma de decisiones respecto a la erupción del volcán Cumbre Vieja, mediante adquisición de todo tipo de datos a partir de los drones que sin lugar a duda están minimizando los riesgos derivados de la actividad volcánica. La geología en gran parte se basa en la observación y para ello nos valemos de diferentes escalas de observación o perspectivas que nos aportan información muy importante y que combinadas nos permiten presentar teorías con una robustez superior. Así pues, los drones son la nueva escala de observación o perspectiva, una perspectiva que va a influir antes, durante y después del trabajo de campo y que por tanto tiene unas implicaciones de gran magnitud en como entendemos y trabajamos el terreno.
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Borrie, John, Elena Finckh, and Kerstin Vignard. Increasing Transparency, Oversight and Accountability of Armed Unmanned Aerial Vehicles. UNIDIR, December 2017. http://dx.doi.org/10.37559/caap/17/wam/04.

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Armed unmanned aerial vehicles (UAVs)—often referred to as drones—have become a prominent and sometimes controversial means of delivering lethal force in the 21st century. Yet the international community is some way from reaching consensus on how established international principles are to be interpreted and applied to the use of armed UAVs. This situation is unsatisfactory for promoting civilian protection in conflict, the maintenance of peace and security, or the rule of law. Moreover, UAVs have unique characteristics that make them particularly susceptible to misuse in comparison to other technologies, at the same time as their capabilities are growing rapidly. Taken together, these factors add up to a pressing need for further development of international understandings related to transparency, oversight and accountability in the context of UAV spread and use. Building on a prior United Nations publication in 2015, this UNIDIR study assesses the current situation and suggests ways to strengthen shared understandings of transparency, oversight and accountability to address challenges raised by armed UAVs.
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Christensen, Lance. PR-459-133750-R03 Fast Accurate Automated System To Find And Quantify Natural Gas Leaks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 2019. http://dx.doi.org/10.55274/r0011633.

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Miniature natural gas sensors weighing a few hundred grams with 10 ppb s-1 sensitivity towards methane and ppb s-1 sensitivity towards methane and ethane present the energy industry with cost effective ways to improve safety, comply with State and Federal regulations, decrease natural gas emissions, and attribute natural gas indications to thermogenic or biogenic sources. One particularly promising implementation is on small unmanned aerial systems (sUASs) flown by service providers or in-house personnel or even more ambitiously as part of larger network conducting autonomous, continual monitoring. This report describes refinement of the OPLS measurement system to include all ancillary instruments needed to put OPLS methane and ethane measurements into context for leak surveillance, localization, and quantification. Flights were conducted on a variety of VTOLs and fixed wing drones as described below to ensure that the overall system development resulted in a system that was platform agnostic. This report describes: - The complete agnostic OPLS measurement system.The individual components are described and their performance investigated.Technical issues that arose during testing and field deployment are described. - Field experiments of the refined OPLS measurement system at a real-world oil and gas production site.These experiments exercise the OPLS system's ability to do leak surveillance, localization, and quantification. - Laboratory development of the OPLS instrument to improve its performance in terms of signal-to-noise and accuracy. - Field experiments demonstrating the successful application of OPLS on a fixed-wing hybrid flown at altitudes higher than 50 m. - Field experiments demonstrating the utility of source attribution using the ethane measurement capability. There is a related webinar.
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Ruby, Jeffrey, Richard Massaro, John Anderson, and Robert Fischer. Three-dimensional geospatial product generation from tactical sources, co-registration assessment, and considerations. Engineer Research and Development Center (U.S.), February 2023. http://dx.doi.org/10.21079/11681/46442.

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According to Army Multi-Domain Operations (MDO) doctrine, generating timely, accurate, and exploitable geospatial products from tactical platforms is a critical capability to meet threats. The US Army Corps of Engineers, Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL) is carrying out 6.2 research to facilitate the creation of three-dimensional (3D) products from tactical sensors to include full-motion video, framing cameras, and sensors integrated on small Unmanned Aerial Systems (sUAS). This report describes an ERDC-GRL processing pipeline comprising custom code, open-source software, and commercial off-the-shelf (COTS) tools to geospatially rectify tactical imagery to authoritative foundation sources. Four datasets from different sensors and locations were processed against National Geospatial-Intelligence Agency–supplied foundation data. Results showed that the co-registration of tactical drone data to reference foundation varied from 0.34 m to 0.75 m, exceeding the accuracy objective of 1 m described in briefings presented to Army Futures Command (AFC) and the Assistant Security of the Army for Acquisition, Logistics and Technology (ASA(ALT)). A discussion summarizes the results, describes steps to address processing gaps, and considers future efforts to optimize the pipeline for generation of geospatial data for specific end-user devices and tactical applications.
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Work Guidelines - Operating an Unmanned Aerial Vehicle (UAV or Drone). Marshfield Clinic, 2018. http://dx.doi.org/10.21636/nfmc.nccrahs.youthwork.drones.g.2018.

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