To see the other types of publications on this topic, follow the link: Drone.
Journal articles on the topic 'Drone'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Drone.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Zaitseva, Elena, Vitaly Levashenko, Ravil Mukhamediev, Nicolae Brinzei, Andriy Kovalenko, and Adilkhan Symagulov. "Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis." Mathematics 11, no. 11 (June 1, 2023): 2551. http://dx.doi.org/10.3390/math11112551.
Full textAbstract:
Drones, or UAVs, are developed very intensively. There are many effective applications of drones for problems of monitoring, searching, detection, communication, delivery, and transportation of cargo in various sectors of the economy. The reliability of drones in the resolution of these problems should play a principal role. Therefore, studies encompassing reliability analysis of drones and swarms (fleets) of drones are important. As shown in this paper, the analysis of drone reliability and its components is considered in studies often. Reliability analysis of drone swarms is investigated less often, despite the fact that many applications cannot be performed by a single drone and require the involvement of several drones. In this paper, a systematic review of the reliability analysis of drone swarms is proposed. Based on this review, a new method for the analysis and quantification of the topological aspects of drone swarms is considered. In particular, this method allows for the computing of swarm availability and importance measures. Importance measures in reliability analysis are used for system maintenance and to indicate the components (drones) whose fault has the most impact on the system failure. Structural and Birnbaum importance measures are introduced for drone swarms’ components. These indices are defined for the following topologies: a homogenous irredundant drone fleet, a homogenous hot stable redundant drone fleet, a heterogeneous irredundant drone fleet, and a heterogeneous hot stable redundant drone fleet.
2
Lebediev, O., O. Bondar, E. Samoilenko, and V. Cherevko. "АНАЛІЗ ІСНУЮЧИХ ПІДХОДІВ ДО РОЗРАХУНКУ КІЛЬКІСНОЇ ОЦІНКИ ЖИВУЧОСТІ DRONES." Системи управління, навігації та зв’язку. Збірник наукових праць 1, no. 75 (February 9, 2024): 118–21. http://dx.doi.org/10.26906/sunz.2024.1.118.
Full textAbstract:
На сьогоднішній день живучість відображає стійкість до диструктивних впливів як окремих підсистем drone, так і drone загалом. Така живучість закладена в алгоритмічну частину підсистем drone і дозволяє у разі виникнення нештатних ситуацій змінювати послідовність роботи підсистем drone. При вирішенні задачі аналізу та синтезу елементів підсистем drone, оперують кількісною оцінкою живучості. Це необхідно для визначення, з якою ймовірністю відмови окремих елементів будь-якої підсистеми drone призведуть до пошкодження drone. В даний час серед розробників drones не існує єдиної думки для визначення кількісної оцінки живучості drones. Дуже багато залежить від архітектури підсистем drone, їх взаємодії між собою та взаємодії їх елементів між собою. Ця стаття присвячена дослідженню підходів до розрахунку кількісної оцінки живучості drones на етапі проектування.
3
Huang, Chenn-Jung, Kai-Wen Hu, Hao-Wen Cheng, and Yi-Sin Sie Lin. "A Mission-Oriented Flight Path and Charging Mechanism for Internet of Drones." Sensors 23, no. 9 (April 25, 2023): 4269. http://dx.doi.org/10.3390/s23094269.
Full textAbstract:
In addition to traditional battery exchange services and stationary charging stations, researchers have proposed wireless charging technology, such as decentralized laser charging or drone-to-drone charging in flight, to provide power to drones with insufficient battery electricity. However, the charging methods presented in the literature will inevitably cause drones to wait in line for charging during peak hours and disrupt their scheduled trips when the number of drones grows rapidly in the future. To the best of our knowledge, there have been no integrated solutions for drone flight path and charging planning to alleviate charging congestion, taking into account the different mission characteristics of drones and the charging cost considerations of drone operators. Accordingly, this paper provides adaptive charging options to help drone operators to solve the above-mentioned problems. Drones on ordinary missions can use conventional battery swap services, wired charging stations, or electromagnetic wireless charging stations to recharge their batteries as usual, whereas drones on time-critical missions can choose drone-to-drone wireless charging or decentralized laser charging deployed along the fight paths to charge the batteries of drones in flight. Notably, since fixed-wing drones have larger wing areas to install solar panels, they can also use solar energy to charge during flight if the weather is clear. The simulation results exhibited that the proposed work reduced the power load of the power grid during peak hours, met the charging needs of each individual drone during flight, and cut down the charging costs of drone operators. As a result, an all-win situation for drone operators, drone customers, and power grid operators was achieved.
4
Yoedtadi, Moehammad Gafar. "PENGGUNAAN DRONE PADA PELIPUTAN BERITA TELEVISI (Perspektif Wartawan Televisi Terhadap Etika Peliputan Menggunakan Drone)." Jurnal Muara Ilmu Sosial, Humaniora, dan Seni 3, no. 1 (October 4, 2019): 54. http://dx.doi.org/10.24912/jmishumsen.v3i1.3531.
Full textAbstract:
Saat ini pesawat drone telah menjadi perlengkapan wajib dalam peliputan berita. Pesawat drone memberikan kemudahan dan penghematan bagi media pemberitaan untuk mengambil gambar dengan sudut pengambilan dari angkasa. Dengan drone media massa, terutama televisi dapat memperkaya visual dalam beritanya. Namun dengan segala kelebihannya, penggunaan pesawat drone tetap harus mempertimbangkan etika jurnalistik. Antara lain persoalan privasi dan izin peliputan. Penelitian ini hendak menggali perspektif wartawan terhadap etika jurnalistik ketika melakukan peliputan dengan memanfaatkan pesawat drone. Penelitian ini menggunakan perspektif kualitatif dengan metode fenomenologi. Penelitian ini melibatkan empat orang wartawan drone (drone journalist) dari dua stasiun televisi. Wartawan yang dapat mengemudikan drone belum banyak. Masing-masing televisi hanya memiliki empat orang wartawan. Dari empat wartawan drone, peneliti mengambil partisipan dua orang wartawan drone yang telah bersertifikat dan berpengalaman pada masing-masing televisi. Hasil penelitian menunjukkan bahwa tidak semua wartawan drone memahami dengan benar etika peliputan menggunakan drone. Tututan tugas untuk mendapatkan gambar yang bagus menyebabkan para wartawan drone terkadang mengabaikan etika peliputan drone. Currently, drones have become a mandatory equipment in news coverage. Drones provide convenience and cost savings for the media to take bird eye pictures. With drones, mass media, especially television can enrich the visual aspect of their news. However, with all its advantages, the use of drones must still consider journalistic ethics such as privacy issues and permission to report among other things. This research is aimed to explore the perspective of journalists toward the journalism ethics on television news coverage using drone technology. This research used qualitative approach with phenomenology method. This research involved four drone journalists from two television stations. Not many reporters can control a drone, each television station has four journalists who can do so. From the four drone reporters, the researchers took two certified and experienced drone reporters from each television station as participants. The result shows that not all drone reporters are aware about the ethics of drone usage on news coverage. The demand to obtain good footage causes drone reporters to ignore journalism ethics on drone use.
5
Qiao, Yu, Huijie Fan, Qiang Wang, Tinghui Zhao, and Yandong Tang. "STCA: High-Altitude Tracking via Single-Drone Tracking and Cross-Drone Association." Remote Sensing 16, no. 20 (October 17, 2024): 3861. http://dx.doi.org/10.3390/rs16203861.
Full textAbstract:
In this paper, we introduce a high-altitude multi-drone multi-target (HAMDMT) tracking method called STCA, which aims to collaboratively track similar targets that are easily confused. We approach this challenge by categorizing the HAMDMT tracking into two principal tasks: Single-Drone Tracking and Cross-Drone Association. Single-Drone Tracking employs positional and appearance data vectors to overcome the challenges arising from similar target appearances within the field of view of a single drone. The Cross-Drone Association employs image-matching technology (LightGlue) to ascertain the topological relationships between images captured by disparate drones, thereby accurately determining the associations between targets across multiple drones. In Cross-Drone Association, we enhanced LightGlue into a more efficacious method, designated T-LightGlue, for cross-drone target tracking. This approach markedly accelerates the tracking process while reducing indicator dropout. To narrow down the range of targets involved in the cross-drone association, we develop a Common View Area Model based on the four vertices of the image. Considering to mitigate the occlusion encountered by high-altitude drones, we design a Local-Matching Model that assigns the same ID to the mutually nearest pair of targets from different drones after mapping the centroids of the targets across drones. The MDMT dataset is the only one captured by a high-altitude drone and contains a substantial number of similar vehicles. In the MDMT dataset, the STCA achieves the highest MOTA in Single-Drone Tracking, with the IDF1 system achieving the second-highest performance and the MDA system achieving the highest performance in Cross-Drone Association.
6
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.
Full textAbstract:
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.
7
Greene, Daniel. "Drone Vision." Surveillance & Society 13, no. 2 (July 2, 2015): 233–49. http://dx.doi.org/10.24908/ss.v13i2.5346.
Full textAbstract:
What does the drone want? What does the drone need? Such questions, posed explicitly and implicitly by anthropomorphized drones in contemporary popular culture, may seem like distractions from more pressing political and empirical projects addressing the Global War on Terror (GWOT). But the artifacts posing these questions offer a different way of viewing contemporary surveillance and violence that helps decouple the work of drones from justifications for drone warfare, and reveals the broader technological and political network of which drones are the most immediate manifestation. This article explores ‘drone vision’ a globally distributed apparatus for finding, researching, fixing and killing targets of the GWOT, and situates dramatizations of it within recent new materialist theoretical debates in surveillance and security studies. I model the tactic of ‘seeing like a drone’ in order to map the networks that support it. This tactic reveals a disconnect between the materials and discourses of drone vision, a disconnect I historicize within a new, imperial visual culture of war distinct from its modernist, disciplinary predecessor. I then explore two specific attempts to see like a drone: the drone art of London designer James Bridle and the Tumblr satire Texts from Drone. I conclude by returning to drone anthropomorphism as a technique for mapping the apparatus of drone vision, arguing that drone meme arises precisely in response to these new subjects of war, as a method to call their diverse, often hidden, materials to a public accounting.
8
Lynskey, Jared, Kyi Thar, Thant Oo, and Choong Hong. "Facility Location Problem Approach for Distributed Drones." Symmetry 11, no. 1 (January 20, 2019): 118. http://dx.doi.org/10.3390/sym11010118.
Full textAbstract:
Currently, industry and academia are undergoing an evolution in developing the next generation of drone applications. Including the development of autonomous drones that can carry out tasks without the assistance of a human operator. In spite of this, there are still problems left unanswered related to the placement of drone take-off, landing and charging areas. Future policies by governments and aviation agencies are inevitably going to restrict the operational area where drones can take-off and land. Hence, there is a need to develop a system to manage landing and take-off areas for drones. Additionally, we proposed this approach due to the lack of justification for the initial location of drones in current research. Therefore, to provide a foundation for future research, we give a justified reason that allows predetermined location of drones with the use of drone ports. Furthermore, we propose an algorithm to optimally place these drone ports to minimize the average distance drones must travel based on a set of potential drone port locations and tasks generated in a given area. Our approach is derived from the Facility Location problem which produces an efficient near optimal solution to place drone ports that reduces the overall drone energy consumption. Secondly, we apply various traveling salesman algorithms to determine the shortest route the drone must travel to visit all the tasks.
9
Dung, Nguyen Dinh. "Developing Models for Managing Drones in the Transportation System in Smart Cities." Electrical, Control and Communication Engineering 15, no. 2 (December 1, 2019): 71–78. http://dx.doi.org/10.2478/ecce-2019-0010.
Full textAbstract:
AbstractUnmanned aerial vehicles (UAVs), especially drones, have advantages of having applications in different areas, including agriculture, transportation, such as land use surveys and traffic surveillance, and weather research. Many network protocols are architected for the communication between multiple drones. The present study proposes drone-following models for managing drones in the transportation management system in smart cities. These models are based on the initial idea that drones flight towards a leading drone in the traffic flow. Such models are described by the relative distance and velocity functions. Two types of drone-following models are presented in the study. The first model is a safe distance model (SD model), in which a safe distance between a drone and its ahead is maintained. By applying the stochastic diffusion process, an improved model, called Markov model, is deduced. These drone-following models are simulated in a 2D environment using numerical simulation techniques. With the simulation results, it could be noted that: i) there is no accident and no unrealistic deceleration; ii) the velocity of the followed drone is changed according to the speed of the drone ahead; iii) the followed drones keep a safe distance to drone ahead even the velocities are changed; iv) the performance of the Markov model is better than that of the SD model.
10
Ghazali, Mohamad Hazwan Mohd, Azwati Azmin, and Wan Rahiman. "Drone Implementation in Precision Agriculture – A Survey." International Journal of Emerging Technology and Advanced Engineering 12, no. 4 (April 2, 2022): 67–77. http://dx.doi.org/10.46338/ijetae0422_10.
Full textAbstract:
Abstract— Drones have been widely applied in the precision agriculture sector in the past few years. Incorporating artificial intelligence (AI), sensors, microcontrollers, and the Internet of Things (IoT) into the drones can help overcome the challenges faced by the farmers, such as livestock monitoring, wide land area, crop spraying, and in-depth crop health analysis. In this paper, several drone applications in precision agriculture are discussed, including the hardware and techniques involved. In addition, commercial agricultural drones available in the market to date are presented. The publications trend regarding drone application in precision agriculture is also included and based on reviewing more than 50 articles, a quadcopter-type drone is the most used drone in this sector, and seed planting is the least explored drone application area. Keywords—camera, crop monitoring, drone, mapping, spraying system
11
Kong, Hwayeon, Frank Biocca, Taeyang Lee, Kihyuk Park, and Jeonghoon Rhee. "Effects of Human Connection through Social Drones and Perceived Safety." Advances in Human-Computer Interaction 2018 (2018): 1–5. http://dx.doi.org/10.1155/2018/9280581.
Full textAbstract:
This study investigates whether people perceive social drones differently depending on pilot type and perceived safety. A “drone campus tour guide” social drone service was examined to explore these values. This study involves a between-subjects experiment using two drone control types (human-driven and algorithm-driven) and two levels of perceived safety (low and high). The results demonstrate that the drone pilot type changes the service experience when the drone is flying in an unsafe manner. In the group where the drones were flown in an unsafe manner, participants exhibited higher levels of satisfaction with the algorithm-driven drone guide, while both types of drones received the same level of satisfaction when they were flown safely. The results have implications for understanding how expectations influence service evaluations in relation to human connection.
12
Luo, Yawen, and Yuhua Chen. "Energy-Aware Dynamic 3D Placement of Multi-Drone Sensing Fleet." Sensors 21, no. 8 (April 8, 2021): 2622. http://dx.doi.org/10.3390/s21082622.
Full textAbstract:
Unmanned Aerial Vehicles (UAVs, also known as drones) have become increasingly appealing with various applications and services over the past years. Drone-based remote sensing has shown its unique advantages in collecting ground-truth and real-time data due to their affordable costs and relative ease of operability. This paper presents a 3D placement scheme for multi-drone sensing/monitoring platforms, where a fleet of drones are sent for conducting a mission in a given area. It can range from environmental monitoring of forestry, survivors searching in a disaster zone to exploring remote regions such as deserts and mountains. The proposed drone placing algorithm covers the entire region without dead zones while minimizing the number of cooperating drones deployed. Naturally, drones have limited battery supplies which need to cover mechanical motions, message transmissions and data calculation. Consequently, the drone energy model is explicitly investigated and dynamic adjustments are deployed on drone locations. The proposed drone placement algorithm is 3D landscaping-aware and it takes the line-of-sight into account. The energy model considers inter-communications within drones. The algorithm not only minimizes the overall energy consumption, but also maximizes the whole drone team’s lifetime in situations where no power recharging facilities are available in remote/rural areas. Simulations show the proposed placement scheme has significantly prolonged the lifetime of the drone fleet with the least number of drones deployed under various complex terrains.
13
Kolamunna, Harini, Thilini Dahanayaka, Junye Li, Suranga Seneviratne, Kanchana Thilakaratne, Albert Y. Zomaya, and Aruna Seneviratne. "DronePrint." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (March 19, 2021): 1–31. http://dx.doi.org/10.1145/3448115.
Full textAbstract:
With the ubiquitous availability of drones, they are adopted benignly in multiple applications such as cinematography, surveying, and legal goods delivery. Nonetheless, they are also being used for reconnaissance, invading personal or secure spaces, harming targeted individuals, smuggling drugs and contraband, or creating public disturbances. These malicious or improper use of drones can pose significant privacy and security threats in both civilian and military settings. Therefore, it is vital to identify drones in different environments to assist the decisions on whether or not to contain unknown drones. While there are several methods proposed for detecting the presence of a drone, they have limitations when it comes to low visibility, limited access, or hostile environments. In this paper, we propose DronePrint that uses drone acoustic signatures to detect the presence of a drone and identify the make and the model of the drone. We address the shortage of drone acoustic data by relying on audio components of online videos. In drone detection, we achieved 96% accuracy in a closed-set scenario, and 86% accuracy in a more challenging open-set scenario. Our proposed method of cascaded drone identification, where a drone is identified for its 'make' followed by the 'model' of the drone achieves 90% overall accuracy. In this work, we cover 13 commonly used commercial and consumer drone models, which is to the best of understanding is the most comprehensive such study to date. Finally, we demonstrate the robustness of DronePrint to drone hardware modifications, Doppler effect, varying SNR conditions, and in realistic open-set acoustic scenes.
14
Yamada, Taiki, Katsutoshi Itoyama, Kenji Nishida, and Kazuhiro Nakadai. "Placement Planning for Sound Source Tracking in Active Drone Audition." Drones 7, no. 7 (June 21, 2023): 405. http://dx.doi.org/10.3390/drones7070405.
Full textAbstract:
This paper addresses a placement planning method for drones to improve the performance of source tracking by multiple drones equipped with microphone arrays. By equipping the drone with a microphone array, the drone will be able to locate the person in need of rescue, and by deploying multiple drones, the 3D location of the sound source can be estimated. However, effective drone placement for sound source tracking has not been well explored. Therefore, this paper proposes a new drone placement planning method to improve the performance of sound source tracking. By placing multiple drones close to the sound source with multiple angles, it is expected that tracking will be performed with small variance. The placement planning algorithm is also extended to be applicable to multiple sound sources. Through numerical simulations, it is confirmed that the proposed method reduces the sound source tracking error. In conclusion, the contribution of this research is to extend the field of drone audition to active drone audition that allows drones to move by themselves to achieve better tracking results.
15
Gamin, Gamin. "IMPLEMENTASI KEBIJAKAN PENGGUNAAN DRONE PADA KEMENTERIAN LINGKUNGAN HIDUP DAN KEHUTANAN." Jurnal Analisis Kebijakan Kehutanan 18, no. 2 (November 30, 2021): 125–43. http://dx.doi.org/10.20886/jakk.2021.18.2.125-143.
Full textAbstract:
There is a lot of literature related to the use of drones, including evidence in the Rawa Tripa-Aceh court, but the implementation of this policy needs to be explored specifically at the Ministry of Environment and Forestry. This study aims to examine this. Data were collected through literature studies, interviews, and observations to be analyzed using a policy implementation framework (Grindle, 1980). The findings of the policy content are: the drone policy has positive benefits for validity and legality, as well as authority, but flying permits have the potential to be negative. The degree of change is quite good even though the registration of drones and drone pilots has not been carried out. In the implementation environment, it was found that the central level was quite responsive even though the work unit had not. Competency improvement has been carried out although it is limited to drone pilots. The drone pilot training materials have not met the certification requirements. Research recommendations are: need coordination in drone operation, need guidelines for using drones, need drone registration and drone pilot certification, need competency development designs for drone users and need additional aeronautical knowledge on drone pilot competency development
16
Brunton, Bolin, Leon, and Burnett. "Fright or Flight? Behavioural Responses of Kangaroos to Drone-Based Monitoring." Drones 3, no. 2 (April 24, 2019): 41. http://dx.doi.org/10.3390/drones3020041.
Full textAbstract:
: Drones are often considered an unobtrusive method of monitoring terrestrial wildlife; however research into whether drones disturb wildlife is in its early stages. This research investigated the potential impacts of drone monitoring on a large terrestrial mammal, the eastern grey kangaroo (Macropus giganteus), in urban and peri-urban environments. We assessed the response of kangaroos to drone monitoring by analysing kangaroo behaviour prior to and during drone deployments using a linear modelling approach. We also explored factors that influenced kangaroo responses including drone altitude, site characteristics and kangaroo population dynamics and demographics. We showed that drones elicit a vigilance response, but that kangaroos rarely fled from the drone. However, kangaroos were most likely to flee from a drone flown at an altitude of 30 m. This study suggests that drone altitude is a key consideration for minimising disturbance of large terrestrial mammals and that drone flights at an altitude of 60–100 m above ground level will minimise behavioural impacts. It also highlights the need for more research to assess the level of intrusion and other impacts that drone surveys have on the behaviour of wildlife and the accuracy of the data produced.
17
Ahmad Fiqri, Alfan Hugo, and Nawang Kalbuana. "Analisis Penggunaan Drone untuk Meningkatkan Respons Cepat dalam Penanganan Kecelakaan Pesawat di Area Terpencil." Jurnal Riset Ilmu Kesehatan Umum dan Farmasi (JRIKUF) 2, no. 3 (July 18, 2024): 76–94. http://dx.doi.org/10.57213/jrikuf.v2i3.282.
Full textAbstract:
The use of drones in responding to aircraft accidents in remote areas is an important innovation to improve response and efficiency in emergency situations. The purpose of this study is to explore the optimization of drone use in this context using qualitative research methods and a descriptive approach with interviews, observations, and document analysis. The research showed that drones have a variety of benefits, among others: These include fast and accurate monitoring of accident sites, detailed real-time data collection for situation assessment, and the ability to provide medical assistance and rescue equipment quickly and efficiently. In addition, drones can reach areas that are difficult for traditional rescue teams to access, thereby reducing the risk to rescue workers and speeding up the search for victims. However, some obstacles have also emerged, including limited communication infrastructure that can hinder drone operations in remote areas and difficulties in coordinating drone operators with rescue teams on the ground. Other technical challenges include the limited battery life of drones, extreme weather conditions that can affect drone performance, and the need for drone operators to use their drones. effectively and safely. Future research is suggested to focus on evaluating the effectiveness of drone use in various emergency situations, further development of drone technology, and analysis of the regulatory and legal aspects of drone use. The aim of this initiative is to ensure the optimal and safe use of drones in future rescue operations, especially in remote areas that are difficult to reach by traditional methods. Cooperation between the government, technology service providers and rescue teams is also essential to overcome barriers and maximize the potential of drone use.
18
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.
Full textAbstract:
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.
19
Valentino, Rico, Woo-Sung Jung, and Young-Bae Ko. "A Design and Simulation of the Opportunistic Computation Offloading with Learning-Based Prediction for Unmanned Aerial Vehicle (UAV) Clustering Networks." Sensors 18, no. 11 (November 2, 2018): 3751. http://dx.doi.org/10.3390/s18113751.
Full textAbstract:
Drones have recently become extremely popular, especially in military and civilian applications. Examples of drone utilization include reconnaissance, surveillance, and packet delivery. As time has passed, drones’ tasks have become larger and more complex. As a result, swarms or clusters of drones are preferred, because they offer more coverage, flexibility, and reliability. However, drone systems have limited computing power and energy resources, which means that sometimes it is difficult for drones to finish their tasks on schedule. A solution to this is required so that drone clusters can complete their work faster. One possible solution is an offloading scheme between drone clusters. In this study, we propose an opportunistic computational offloading system, which allows for a drone cluster with a high intensity task to borrow computing resources opportunistically from other nearby drone clusters. We design an artificial neural network-based response time prediction module for deciding whether it is faster to finish tasks by offloading them to other drone clusters. The offloading scheme is conducted only if the predicted offloading response time is smaller than the local computing time. Through simulation results, we show that our proposed scheme can decrease the response time of drone clusters through an opportunistic offloading process.
20
Anderson, Kara. "Autonomous Archaeological Authority: The Future of Drone Use and Privacy Laws in Cultural Heritage Preservation." Journal of Air Law and Commerce 88, no. 3 (2023): 635. http://dx.doi.org/10.25172/jalc.88.3.4.
Full textAbstract:
Since ancient times, humanity has placed high value on natural and cultural phenomena, with Philo of Byzantium recording the first list of the “Seven Wonders of the Ancient World” as early as 225 B.C.E. Similarly, modern world leaders continue to recognize the value of these and more sites through preserving them as United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage sites. With the advancement of drone technology, researchers now employ drones to aid preservation efforts since drones can enter dangerous and humanly-inaccessible spaces, provide detailed images of sites the human eye cannot see, and assist governments in identifying illegal looting. However, while many countries have developed drone use regulations, the challenging ethical questions drones pose regarding privacy rights have resulted in a lack of drone-specific privacy regulations. As countries create new legislation to fill the policy gaps, the tension between protecting privacy rights and preserving cultural heritage results in an unclear future for the use of drones for site preservation. Section II of this Comment analyzes the history of World Heritage sites, drone development, and their intersection to understand the vital role drones play in site preservation. Subsequently, Section III conducts a comparative analysis of drone-use and privacy regulations in four countries with the greatest amount of UNESCO sites to identify the current status of global drone laws. Finally, Section IV addresses the lack of drone-specific privacy regulation and asserts potential implications new drone legislation could have on preservation efforts while postulating methods to protect preservation drone use.
21
Yin, Tung. "Game of Drones." Texas A&M Law Review 2, no. 4 (January 2015): 635–73. http://dx.doi.org/10.37419/lr.v2.i4.3.
Full textAbstract:
This Article considers the threat posed by drone terrorism and the technological and legal issues involved in setting up defensive responses. First, the Article provides an overview of current drone technology, legal views on weaponized military drones, and a discussion of the potential appeal of drones as vehicles for terrorism. Next, it discusses the current laws and regulations pertaining to private drones. The Article then lays out the three challenges to defending against drone terrorism: detecting potentially hostile drones, identifying them, and destroying or neutralizing them. Finally, it closes with some proposals to begin to develop the legal and technological architecture to defend against drone terrorism.
22
Hornain, Imran Mohd, and Nik Fadzly N. Rosely. "Evaluating drones as bird deterrents in industrial environments: multirotor vs fixed-wing efficacy." Bulletin of Electrical Engineering and Informatics 13, no. 6 (December 1, 2024): 3960–67. http://dx.doi.org/10.11591/eei.v13i6.7359.
Full textAbstract:
Unmanned aerial vehicles (UAVs) or drones have been proposed as deterrent tools to mitigate pest birds’ problems. Many studies have been conducted to evaluate the efficacy of drones, mainly to protect crops, fishponds and airports. Little information can be acquired on using drones in industrial areas. In this study, two types of drones, categorized as multirotor drones and fixed-wing drones, were used to evaluate their efficacy in reducing pest birds, Asian glossy starling (Aplonis panayensis) flocks in one of the semiconductor factories in Kulim Hi-tech Park, Kedah, Malaysia during dusk. Each drone was evaluated during its five minutes of operation time and five minutes after landing. Control data were also taken to compare drone treatment days with no drone treatment days. Our result shows a significant difference between multirotor drone treatment and control treatment but not between fixed-wing drone treatment and control treatment due to different altitudes applied, ambient light intensity and size of flight path covered. We suggest implementing biomimetic design into drones and applying other conventional ground deterrents to prolong the residual effect of post-treatment.
23
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.
24
Sharma, Dr Vivek. "Solar Powered QuadCopter Drone." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (April 30, 2024): 3926–30. http://dx.doi.org/10.22214/ijraset.2024.60820.
Full textAbstract:
Abstract: Drones are a common sight today and are being used in a wide range of applications. Fromselfies to pesticide spraying to military surveillance. Well the problem with surveillance monitoring isthat many applications require long time surveillance. Drones do provide a good view for surveillancemonitoring but have a huge drawback. This is the drone battery life. The major fear a drone pilot faces insurveillance is that the battery may run out and drone may land on a tree or building or some inaccessiblearea from where it cannot be retrieved and thus cannot be charged. This is also the case in military surveillance, the possibility of battery life running out and drone being inaccessible creates limitationsfor drone pilots during surveillance/monitoring. Well we here develop a drone with solution to these problems using solar power to constantly charge the drone to increase its flight time as well as the ability to land the drone anywhere and automatically its battery remotely to take flight later. This will lead to improved flight time as well as automatic battery charging of drones in inaccessible areas so that it cantake off from the same spot on charging. The drone is a quad rotor drone that makes use of 4 x highpowered drone motors with propellers to provide required lift to the drone. The drone body is integratedwith solar panels for high efficiency charging during idle time as well as during flight time for improved flight times. The drone is integrated with a wifi camera that can be monitored over an android smartphone using wifi connection. It makes use of a rc remote controller to receive control commands for theuser. The drone onboard rc receiver is used to receive control commands from the user and operate dronemotors to achieve desired flight.
25
Mirzaeinia and Hassanalian. "Minimum-Cost Drone‒Nest Matching through the Kuhn‒Munkres Algorithm in Smart Cities: Energy Management and Efficiency Enhancement." Aerospace 6, no. 11 (November 17, 2019): 125. http://dx.doi.org/10.3390/aerospace6110125.
Full textAbstract:
The development of new concepts for smart cities and the application of drones in this area requires different architecture for the drones’ stations (nests) and their placement. Drones’ stations are designed to protect drones from hazards and utilize charging mechanisms such as solar cells to recharge them. Increasing the number of drones in smart cities makes it harder to find the optimum station for each drone to go to after performing its mission. In classic ordered technique, each drone returns to its preassigned station, which is shown to be not very efficient. Greedy and Kuhn‒Munkres (Hungarian) algorithms are used to match the drone to the best nesting station. Three different scenarios are investigated in this study; (1) drones with the same level of energy, (2) drones with different levels of energy, and (3) drones and stations with different levels of energy. The results show that an energy consumption reduction of 25‒80% can be achieved by applying the Kuhn‒Munkres and greedy algorithms in drone‒nest matching compared to preassigned stations. A graphical user interface is also designed to demonstrate drone‒station matching through the Kuhn‒Munkres and greedy algorithms.
26
Žnidaršič, Vinko, Marko Radovanović, and Dragan Stevanović. "Modeling the organisational implementation of a drone and counter-drone operator into the Serbian Armed Forces rifle section." Vojno delo 72, no. 3 (2020): 84–109. http://dx.doi.org/10.5937/vojdelo2003084z.
Full textAbstract:
Drones are one of the new threats to tactical units. The armed forces use them with various successes in operations. However, the smallest tactical unit such as rifle section is generally still unprepared to operate drones and perform counter measures. Drones have a wide range of capabilities and therefore can be used for both civilian and military purposes. Along with the development of drones, counter-drone systems have also been developed. Several small drones and counter-drone systems suitable for the use by one man are presented in the first part of the research results to show that there is more than one system that can be selected for operational use. This also shows that one soldier in rifle section is capable of operating a small drone and counter-drone systems. This research has aimed to survey the organizational structure and determine organizational capabilities to implement a drone and counter-drone operator duty in rifle section. For that purpose, the research team has conducted a series of interviews with officers and non-commissioned officers of the Serbian Armed Forces and the Ministry of Defense. This duty is defined as "a drone operator" and in this research the Serbian Armed Forces rifle section is modeled in such a way to include a duty for 1) a specialized rifleman, 2) a converted sniper, or 3) an embedded soldier.
27
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.
Full textAbstract:
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.
28
Suzuki, Satoshi, and Kenzo Nonami. "Special Issue on Novel Technology of Autonomous Drone." Journal of Robotics and Mechatronics 33, no. 2 (April 20, 2021): 195. http://dx.doi.org/10.20965/jrm.2021.p0195.
Full textAbstract:
In the past three years, there has been rapid progress in the use of drones in society. Drones, which were previously used only experimentally in various industrial fields, are now being used in earnest in everyday operations. Drones are becoming indispensable tools in several industrial fields, such as surveying, inspection, and agriculture. At the same time, there has also been dramatic progress in autonomous drone technology. With the advancement of image processing, simultaneous localization and mapping (SLAM), and artificial intelligence technologies, many intelligent drones that apply these technologies are being researched. At the same time, our knowledge of multi-rotor helicopters, the main type of drones, has continued to deepen. As the strengths and weaknesses of multi-rotor helicopters have gradually become clearer, drones with alternate structures, such as flapping-wing drones, have come to attract renewed attention. In addition, the range of applications for drones, including passenger drones, has expanded greatly, and research on unprecedented drone operations, as well as research on systems and controls to ensure operational safety, is actively being conducted. This special issue contains the latest review, research papers, and development reports on autonomous drones classified as follows from the abovementioned perspectives. · Research on drone airframes and structures · Research on drone navigation and recognition with a focus on image processing · Research on advanced drone controls · Research and development of drone applications We hope that the readers will actively promote the use of drones in their own research and work, based on the information obtained from this special issue.
29
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.
Full textAbstract:
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.
30
Chuttong, Bajaree, Ninat Buawangpong, and Michael Burgett. "Drone Production by the Giant Honey Bee Apis dorsata F. (Hymenoptera: Apidae)." Sociobiology 66, no. 3 (November 14, 2019): 475. http://dx.doi.org/10.13102/sociobiology.v66i3.4355.
Full textAbstract:
This study investigates male (drone) production by the giant honey bee (Apis dorsata F.). The entire brood populations from 10 colonies were counted to determine the immature population of drones relative to workers. As the condition of each cell was determined the cell’s position and content were noted using the Microsoft Excel platform. The contents of the brood comb, including eggs, larvae, prepupae, capped worker pupae, capped drone pupae, pollen storage cells and finally empty brood cells were recorded. Results reveal the percent of pupal drones averaged 5.9 ± 6.2% of the total pupal cohort with a range of 0.1 to 17.3%. The size of the drone pupal population relative to the worker pupae was highly variable and displayed no correlation (r2 = 0.076). Pupal drone distribution was scattered throughout the brood comb in a random manner when drone populations were low; in instances of higher drone production, the drones appeared in banded patterns concomitant with the worker pupal distribution.
31
Churchill, Robert Paul. "Drone Warfare." International Journal of Technoethics 6, no. 2 (July 2015): 31–46. http://dx.doi.org/10.4018/ijt.2015070103.
Full textAbstract:
The United States is now relying on Reaper and Predator drone strikes as its primary strategy in the continuing War on Terrorism. This paper argues for the rational scrutiny drone warfare has yet to receive. It is argued that drone warfare is immoral as it fails both the jus in bello and the jus ad bellum conditions of Just War theory. Drone warfare cannot be accepted on utilitarian grounds either, as it is very probable that terrorists will acquire drones capable of lethal strikes and deploy them against defenseless civilians. Moreover, by examining the psychological bases for reliance on drone warfare, as well as the message the United States is sending adversaries, we need to be concerned that, rather than reduce the likelihood of terrorists strikes, the U.S. reliance on drones strikes threatens to institutionalize terrorism as the status quo for the foreseeable future.
32
Gao, Ying, Yangliang Liu, Quansi Wen, Hongliang Lin, and Yijian Chen. "Secure Drone Network Edge Service Architecture Guaranteed by DAG-Based Blockchain for Flying Automation under 5G." Sensors 20, no. 21 (October 30, 2020): 6209. http://dx.doi.org/10.3390/s20216209.
Full textAbstract:
With the development of the Internet of Things (IoT), the number of drones, as a consumer-level IoT device, is rapidly increasing. The existence of a large number of drones increases the risk of misoperation during manual control. Therefore, it has become an inevitable trend to realize drone flying automation. Drone flying automation mainly relies on massive drone applications and services as well as third-party service providers, which not only complicate the drone network service environment but also raise some security and privacy issues. To address these challenges, this article proposes an innovative architecture called Secure Drone Network Edge Service (SDNES), which integrates edge computing and blockchain into the drone network to provide real-time and reliable network services for drones. To design a feasible and rational SDNES architecture, we first consider the real-time performance and apply edge computing technology in it to provide low-latency edge services for drones under 5G mobile network. We use DAG-based blockchain to guarantee the security and reliability of the drone network service environment and effectively avoid malicious behaviors. In order to illustrate the feasibility of this architecture, we design and implement a specific service case named Drone Collision Avoidance Navigation Service based on SDNES. Finally, a simulation experiment for the specific service case and a series of other performance-related experiments were carried out to verify the feasibility and rationality of our proposed architecture. The experimental results demonstrate that SDNES is a promising architecture to assist and accelerate drone flying automation.
33
P, Bhavani, Prasanna P, Dhivagar M, and Velliangiry S. "Unauthorized Drone Detection Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (May 31, 2024): 282–87. http://dx.doi.org/10.22214/ijraset.2024.61496.
Full textAbstract:
Abstract: The growing concerns over drone misuse in national airspace, including activities like drug smuggling and privacy violations, demand advanced drone detection systems. Traditional methods struggle to accurately identify drones among various airborne objects. YOLO v8, renowned for its efficient single-pass object detection, presents a sophisticated solution. Through training on annotated datasets featuring drones in diverse environments and fine-tuning with aerial imagery, YOLO v8 excels at recognizing drones amidst complex backgrounds. Its multi-scale detection capabilities enable it to detect drones of varying sizes, crucial for different distances from the camera. Real-time prediction ensures timely detection, vital for immediate responses to unauthorized intrusions. Integration with drone tracking systems enhances situational awareness, facilitating proactive measures. Furthermore, employing adaptive thresholding and post-processing techniques like Kalman filtering refines drone detection accuracy, reducing false positives. YOLO v8 thus emerges as a potent tool in mitigating risks associated with drone misuse, bolstering defenses against unauthorized activities in national airspace.
34
Horowitz, Michael C., Sarah E. Kreps, and Matthew Fuhrmann. "Separating Fact from Fiction in the Debate over Drone Proliferation." International Security 41, no. 2 (October 2016): 7–42. http://dx.doi.org/10.1162/isec_a_00257.
Full textAbstract:
What are the consequences of drone proliferation for international security? Despite extensive discussions in the policy world concerning drone strikes for counterterrorism purposes, myths about the capabilities and implications of current-generation drones often outstrip reality. Understanding the impact of drones requires separating fact from fiction by examining their effects in six different contexts—counterterrorism, interstate conflict, crisis onset and deterrence, coercive diplomacy, domestic control and repression, and use by nonstate actors for the purposes of terrorism. Although current-generation drones introduce some unique capabilities into conflicts, they are unlikely to produce the dire consequences that some analysts fear. In particular, drone proliferation carries potentially significant consequences for counterterrorism operations and domestic control in authoritarian regimes. Drones could also enhance monitoring in disputed territories, potentially leading to greater stability. Given their technical limitations, however, current-generation drones are unlikely to have a large impact on interstate warfare. Assessing the consequences of drone proliferation has important implications for a range of policy issues, including the management of regional disputes, the regulation of drone exports, and defense against potential terrorist attacks on the homeland.
35
Hagan, Thomas, Julianne Lim, and Rosalyn Gloag. "Drones Do Not Drift between Nests in a Wild Population of Apis cerana." Insects 14, no. 4 (March 27, 2023): 323. http://dx.doi.org/10.3390/insects14040323.
Full textAbstract:
The modes through which individuals disperse prior to reproduction has important consequences for gene flow in populations. In honey bees (Apis sp.), drones (males) reproduce within a short flight range of their natal nest, leaving and returning each afternoon within a narrow mating window. Drones are assumed to return to their natal nests as they depend on workers to feed them. However, in apiaries, drones are reported to regularly make navigation errors and return to a non-natal nest, where they are accepted and fed by unrelated workers. If such a “drone drift” occurred in wild populations, it could facilitate some further degree of dispersal for males, particularly if drones drift into host nests some distance away from their natal nest. Here, we investigated whether drone drift occurs in an invasive population of the Asian honey bee (Apis cerana). Based on the genotypes of 1462 drones from 19 colonies, we found only a single drone that could be considered a candidate drifter (~0.07%). In three other colonies, drones whose genotypes differed from the inferred queen were best explained by recent queen turnover or worker-laying. We concluded that drone drift in this population is low at best, and A. cerana drones either rarely make navigation errors in wild populations or are not accepted into foreign nests when they do so. We therefore confirm that drone dispersal distance is limited to the distance of daily drone flights from natal nests, a key assumption of both colony density estimates based on sampling of drone congregation areas and population genetic models of gene flow in honey bees.
36
Norzailawati, M. N., A. Alias, and R. S. Akma. "DESIGNING ZONING OF REMOTE SENSING DRONES FOR URBAN APPLICATIONS: A REVIEW." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 131–38. http://dx.doi.org/10.5194/isprs-archives-xli-b6-131-2016.
Full textAbstract:
This paper discusses on-going research related to zoning regulation for the remote sensing drone in the urban applications. Timestamped maps are presented here follow a citation-based approach, where significant information is retrieved from the scientific literature. The emergence of drones in domestic air raises lots understandable issues on privacy, security and uncontrolled pervasive surveillance that require a careful and alternative solution. The effective solution is to adopt a privacy and property rights approach that create a drone zoning and clear drone legislatures. In providing a differential trend to other reviews, this paper is not limited to drones zoning and regulations, but also, discuss on trend remote sensing drones specification in designing a drone zones. Remote sensing drone will specific according to their features and performances; size and endurance, maximum airspeed and altitude level and particular references are made to the drones range. The implementation of laws zoning could lie with the urban planners whereby, a zoning for drone could become a new tactic used to specify areas, where drones could be used, will provide remedies for the harm that arise from drones, and act as a different against irresponsible behaviour. Finally, underlines the need for next regulations on guidelines and standards which can be used as a guidance for urban decision makers to control the drones' operating, thus ensuring a quality and sustainability of resilience cities simultaneously encouraging the revolution of technology.
37
Norzailawati, M. N., A. Alias, and R. S. Akma. "DESIGNING ZONING OF REMOTE SENSING DRONES FOR URBAN APPLICATIONS: A REVIEW." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 131–38. http://dx.doi.org/10.5194/isprsarchives-xli-b6-131-2016.
Full textAbstract:
This paper discusses on-going research related to zoning regulation for the remote sensing drone in the urban applications. Timestamped maps are presented here follow a citation-based approach, where significant information is retrieved from the scientific literature. The emergence of drones in domestic air raises lots understandable issues on privacy, security and uncontrolled pervasive surveillance that require a careful and alternative solution. The effective solution is to adopt a privacy and property rights approach that create a drone zoning and clear drone legislatures. In providing a differential trend to other reviews, this paper is not limited to drones zoning and regulations, but also, discuss on trend remote sensing drones specification in designing a drone zones. Remote sensing drone will specific according to their features and performances; size and endurance, maximum airspeed and altitude level and particular references are made to the drones range. The implementation of laws zoning could lie with the urban planners whereby, a zoning for drone could become a new tactic used to specify areas, where drones could be used, will provide remedies for the harm that arise from drones, and act as a different against irresponsible behaviour. Finally, underlines the need for next regulations on guidelines and standards which can be used as a guidance for urban decision makers to control the drones' operating, thus ensuring a quality and sustainability of resilience cities simultaneously encouraging the revolution of technology.
38
Archambault, Emil, and Yannick Veilleux-Lepage. "Drone imagery in Islamic State propaganda: flying like a state." International Affairs 96, no. 4 (July 1, 2020): 955–73. http://dx.doi.org/10.1093/ia/iiaa014.
Full textAbstract:
Abstract This article provides a comprehensive analysis of the Islamic State's use of images taken by drones, drawing on a dataset of ISIS propaganda images from October 2016 to December 2018. Analysing the three principal uses of drone imagery by ISIS—images of drone strikes, images of other attacks and observation—we argue that ISIS's use of drones distinguishes itself from other state and non-state uses of drones primarily by its communicative and symbolic value. While ISIS’ use of drone strikes takes place in a tactical rather than strategic setting, its employment of drones to film VBIED attacks allows them to achieve a strategic effect. After outlining ISIS’ use of drones for combat air support and to film ground (particularly VBIED) attacks, we argue, drawing on political geography, that ISIS employs drones in propaganda to stake and reinforce a claim to sovereign control of territory, performed through the flying of aircraft. The use of drone imagery, we argue, taps into long-standing visual and discursive strategies which associate vertical hierarchy and flying with mastery and control, allowing ISIS to display attributes of aerial sovereignty. This article, through an analysis of ISIS drone propaganda, provides a rare insight into non-state actors’ perception of drones and the communicative value of drone images, in addition to suggesting further avenues for the incorporation of political–geographical studies of verticality into the study of political violence and rhetoric.
39
Ezeji, Chiji Longinus, and B. Simon Mahlangu. "THE EVALUATION OF DRONE AND INTELLIGENCE LED POLICING TECHNOLOGIES IN COMBATING CRIMES IN NIGERIA AND SOUTH AFRICA." Caleb International Journal of Development Studies 05, no. 02 (December 3, 2022): 250–70. http://dx.doi.org/10.26772/cijds-2022-05-02-13.
Full textAbstract:
This paper focuses on the application of drones and intelligence-led policing technologies in combating crime in South Africa and Nigeria The qualitative methodology was used adopting focus group technique for data collection. Findings reveals that most countries have set specific rules for drone flights and few restrictions are imposed on their weight carrying capacity, drones pose novel and difficult problems for law enforcement, drones have been put to a host of nefarious uses, from smuggling contraband into prisons, criminals used drones to supply illegal products, illicit drugs, contraband goods, criminals use drone for illegal surveillances, drones are used by law enforcement agents for surveillance and raiding, drones are used to carry out surveillance and crime investigations, drones can be flown remotely by an operator far away from the crime scene and in some jurisdictions the use of drones are lightly regulated by legislation, consequently local and state authorities are restricted from intercepting drones in flight, potentially even when a crime is in progress. There is need for improvements of drone technology to enable its applications by the criminal justice and law enforcement for resolving crime problems, intelligence led policing strategies should be adopted in consonance with drone technology for swift justice in Nigeria and South Africa, need for government of both countries to regulate drone technology, need to upgrade current legislation regulating the application of drones in both countries.
40
Shukla, Utkarsh. "Solar Autopilot Drone." Journal of Advanced Research in Power Electronics and Power Systems 07, no. 1&2 (May 13, 2020): 13–23. http://dx.doi.org/10.24321/2456.1401.202003.
Full textAbstract:
Advances in technology have made the drone an affordable tool for various purposes. This article focuses on gaining knowledge of drone at a working and conceptual level. Firstly, there is a detailed explanation of the construction of the drone. Some of the most essential elements of a drone include frame, propellers, engine, system of power the electronic control and communication system. Whether you fly your drone for commercial or recreational purposes, staying in the air as long as possible is the goal. But of course, the battery life of the drone can put a damper on how much you can accomplish while you’re flying.Batteries serve as a major drawback because they get exhausted after 15 minutes of flight and thereby landing the drone on ground. The batteries used for powering the drones are lithium-polymer batteries.This project aims to provide an ingenious solution to this hurdle by introducing the current popular photovoltaic system into the UAV power system design.Solar drones use solar cells powered directly from the sun and solve major issues related to conventional drones such as increasing the flight time and risk of the drone losing connectivity with its controller. The design is to be modular for easy module upgrade and replacement. Using photovoltaic system minimizes the environmental impact, an issue that can be controversial for large projects built for utilities because they tend to spread across hundreds of acres of land in remote regions.
41
Muhamad, Aidil, Seno Darmawan Panjaitan, and Redi Ratiandi Yacoub. "DESIGN AND DEVELOPMENT OF FLIGHT CONTROLLER FOR QUADCOPTER DRONE CONTROL." Telecommunications, Computers, and Electricals Engineering Journal 1, no. 3 (February 10, 2024): 279. http://dx.doi.org/10.26418/telectrical.v1i3.73681.
Full textAbstract:
UAV (Unmanned Aerial Vehicle), also commonly called drone, is a flying robot technology that can be controlled remotely and can also fly autonomously based on the mission given by the operator. Drones are usually used for various purposes such as package delivery, watering plants, land mapping, natural disaster monitoring, photography, videography and others. Drones have many types, one of which is a drone with four motors as the main drive, commonly called a quadcopter drone. Quadcopter drones have evolved a lot based on current needs. Although quadcopter drones have many uses, the development of quadcopter drone research in Indonesia is quite slow, one of the quadcopter drone components whose development is quite slow is the flight controller. Flight controller (FC) is a main controller brain in drones that has complex functions in quadcopter drone control. The function of the FC is to regulate motor speed, stabilize and maintain altitude. In this research, FC is designed to control the stability of quadcopter drones while flying. This FC was developed by applying LoRa technology as an internal receiver. LoRa technology is used to receive control data from the remote control (RC) and simultaneously send sensor data. The purpose of this research is to design FC to improve local products in the field of technology and participate in the development of flying robot technology, especially on quadcopter drones and to determine the performance of LoRa technology after being integrated as an internal transceiver in FC for remote control of quadcopter drones.
42
Wadhwa, Shivani, Divya Gupta, Shalli Rani, Maha Driss, and Wadii Boulila. "Empowering drones in vehicular network through fog computing and blockchain technology." PLOS ONE 20, no. 1 (January 24, 2025): e0314420. https://doi.org/10.1371/journal.pone.0314420.
Full textAbstract:
The performance of drones, especially for time-sensitive tasks, is critical in various applications. Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. However, the limited battery capacity of drones poses a challenge, necessitating energy-efficient Internet of Drones (IoD) systems. Despite the increasing demand for drone flying automation, there is a significant absence of a comprehensive drone network service architecture tailored for secure and efficient operations of drones. This research paper addresses this gap by proposing a safe, reliable, and real-time drone network service architecture, emphasizing collaboration with fog computing. The contribution includes a systematic architecture design and integration of blockchain technology for secure data storage. Fog computing was introduced for the Drone with Blockchain Technology (FCDBT) model, where drones collaborate to process IoT data efficiently. The proposed algorithm dynamically plans drone trajectories and optimizes computation offloading. Results from simulations demonstrate the effectiveness of the proposed architecture, showcasing reduced average response latency and improved throughput, particularly when accessing resources from fog nodes. Furthermore, the model evaluates blockchain consensus algorithms (PoW, PoS, DAG) and recommends DAG for superior performance in handling IoT data. Fog; Drones; Blockchain; PSO; IoT; Vehicular.
43
Hildebrand, Julia M. "Situating Hobby Drone Practices." Digital Culture & Society 3, no. 2 (December 20, 2017): 207–18. http://dx.doi.org/10.14361/dcs-2017-0212.
Full textAbstract:
Abstract Consumer drones are entering everyday spaces with increasing frequency and impact as more and more hobbyists use the aerial tool for recreational photography and videography. In this article, I seek to expand the common reference to drones as “unmanned aircraft systems” by conceptualising the hobby drone practice more broadly as a heterogeneous, mobile assemblage of virtual and physical practices and human and non-human actors. Drawing on initial ethnographic fieldwork and interviews with drone hobbyists as well as ongoing cyber-ethnographic research on social networking sites, this article gives an overview of how the mobile drone practice needs to be situated alongside people, things, and data in physical and virtual spheres. As drone hobbyists set out to fly their devices at a given time and place, a number of relations reaching across atmospheric (e. g. weather conditions, daylight hours, GPS availability), geographic (e. g. volumetric obstacles), mobile (e. g. flight restrictions, ground traffic), and social (e. g. bystanders) dimensions demand attention. Furthermore, when drone operators share their aerial images online, visual (e. g. live stream) and cyber-social relations (e. g. comments, scrutiny) come into play, which may similarly impact the drone practice in terms of the pilot’s performance. While drone hobbysists appear to be interested in keeping a “low profile” in the physical space, many pilots manage a comparatively “high profile” in the virtual sphere with respect to the sharing of their images. Since the recreational trend brings together elements of convergence, location-awareness, and real-time feedback, I suggest approaching consumer drones as, what Scott McQuire (2016) terms, “geomedia.” Moreover, consumer drones open up different “cybermobilities” (Adey/Bevan 2006) understood as connected movement that flows through and shapes both physical and virtual spaces simultaneously. The way that many drone hobbyists appear to navigate these different environments, sometimes at the same time, has methodological implications for ethnographic research on consumer drones. Ultimately, the assemblage-perspective brings together aviation-related and socio-cultural concerns relevant in the context of consumer drones as digital communication technology and visual production tool.
44
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.
Full textAbstract:
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.
45
Kim, Hyungsuk, and Jaehee Cho. "Spatiotemporal analysis of drone operations using armed conflict location and event data (ACLED): Focusing on the Russia-Ukraine war." Journal of Advances in Military Studies 6, no. 3 (December 31, 2023): 55–81. http://dx.doi.org/10.37944/jams.v6i3.230.
Full textAbstract:
This study was designed to determine the characteristics and tendencies of drones, which have emerged as a key weapon system in the Russian-Ukrainian War since 2022, and their use in modern warfare. A spatiotemporal analysis was conducted on 5,491 coordinates of drone-based battles within the city with a multidimensional model. The analysis revealed extensive drone operations by both Russia and Ukraine, with Ukraine shifting to offensive actions in 2023, and distinct temporal patterns by day of the week at battle sites, as indicated by the frequency of drone-based battles. Moreover, Russia maintained the momentum of offensive drone operations, intercepting 85.1% of Ukrainian drones and achieving a 54.0% success rate in drone-based attacks, whereas Ukraine intercepted 43.3% of Russian drones, with a success rate of only 14.3%. Based on this study, the spatiotemporal analysis of drone-based combat across Ukraine enabled an examination of the operating areas, roles, and efficiency of this weapon system as well as an understanding of the impact and multifaceted characteristics associated with its deployment on the battlefield.
46
Yang, Eun Young. "The necessity of enacting independent legislation reflecting the entire life cycle of drones." Korean Public Land Law Association 101 (February 28, 2023): 411–38. http://dx.doi.org/10.30933/kpllr.2023.101.411.
Full textAbstract:
It is no exaggeration to say that drones are the leader of the Fourth Industrial Revolution, and the whole world is paying attention to fostering the drone industry. Since drones reflect the verification of state-of-the-art technology and the improved emotional culture of humans, Korea's drone law is currently focusing on the use of drones, industrial development, fostering, and promotion, so it is necessary to strengthen regulations on risks and side effects from the expansion of the drone industry. Korea deals with regulations on the production, ownership, and operation of drones, focusing on the Aviation Safety Act, which is largely applied differently depending on weight and business status. Unlike Korea, aviation-related laws such as drone reporting, pilot certification, flight airspace, and pilot compliance are organized into separate chapters or enacted separate laws in major advanced aviation countries, while Korea's drone-related laws are scattered in many related laws, so there are many problems in practical application. Most basically, even the terms established in the law are not unified in practice, the standards presented in practice are not reflected in the law, and accordingly, there is a gap between laws and practice in safety management standards and operation. The Ministry of Land, Infrastructure and Transport has come up with measures to strengthen some regulations to improve the safety of drones, but the problem is that legislative omission and simple formal regulations are being made due to inadequate regulations on aircraft declaration, safety certification and flight approval, and pilot certification systems and excessive deregulation. In addition, public law regulation is urgent in that there is no control means for drones in operation, there are limitations in cracking down on drones in illegal flight, and there is no instructions for the disposal of drones that have been operated. Therefore, in this study, the existing laws and regulations focusing on the stages of the drone's entire life cycle, it is applied at each stage are combined to improve measures such as supplementing legislative inadequacies, for example, clarification of drone definition, legislation of liability insurance, strengthening safety security regulations, practical drone crackdown and production requirements, drone disposal, etc. and to make it easier for the people subject to the law to understand, I will propose a direction to preemptively prepare legislation that deals only with drones to improve the current drone-related legislation, which is stipulated in conjunction with existing aircraft, to form a separate chapter in the Aviation Safety Act, or to enact a new individual law, considering the infinite growth potential of the drone industry and its influence on society.
47
Nonami, Kenzo. "Drone Technology, Cutting-Edge Drone Business, and Future Prospects." Journal of Robotics and Mechatronics 28, no. 3 (June 17, 2016): 262–72. http://dx.doi.org/10.20965/jrm.2016.p0262.
Full textAbstract:
[abstFig src='/00280003/01.jpg' width=""300"" text='Autonomous drone: MIni-surveyor MS-06LA' ] The year 2015 marked the beginning of a new phase in the history of drones in which drones came into use for business purposes in addition to the conventional ones flown for recreational purposes, and the amended Civil Aeronautic Act became effective in the same year. In 2016, full-scale drone businesses including the inspection of infrastructures, measurements, security, and disaster responses are expected to begin. An overview of the rapidly expanding drone business and the attempt to deliver objects using drones in Chiba, which is called the industrial revolution in the sky, are presented in this paper. Next, the technological characteristics of mini-surveyors using domestic, production-model drones are introduced, and the use of mini-surveyors is outlined. Cutting-edge research and overseas trends are also discussed. In addition, the approach of the mini-surveyor consortium and the amended Civil Aeronautic Act are introduced. Finally, the tough robotics challenge of an innovative research and development promotion program ImPACT involving the entire Japan and the future society where drones are spreading are described.
48
Hildebrand, Julia M., and Stephanie Sodero. "Pandemic Drones." Transfers 11, no. 1 (March 1, 2021): 148–58. http://dx.doi.org/10.3167/trans.2021.110110.
Full textAbstract:
When the novel coronavirus moved around the planet in early 2020, reconfiguring, slowing down, or halting everyday mobilities, another transport mode was mobilized: the pandemic drone. We highlight the increasing prominence of this aerial device by surveying international media coverage of pandemic drone use in the spring of 2020. To address a range of pandemic drone affordances and applications, we organize manifold cases under two broad categories: sensing and moving with the pandemic drone. Here we ask: what roles do, and could, drones play during the pandemic? Following the empirical examples and related mobilities research, we theorize the drone versus virus and the drone as virus. As such, the work identifies avenues for mobilities research into pandemic drones as a growing mobility domain. Moreover, in thinking through the pandemic drone, we demonstrate creative extensions of mobilities thinking that bridge biological and technological, as well as media and mobility frameworks when multiple public health and safety crises unfolded and intersected.
49
Ozkan Yerebakan, Mustafa, Shuai Hao, Kun Xu, Masoud Gheisari, Idris Jeelani, and Boyi Hu. "Effect of Illumination on Human Drone Interaction Tasks: An Exploratory Study." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (September 2021): 1485–89. http://dx.doi.org/10.1177/1071181321651123.
Full textAbstract:
With recent changes by the Federal Aviation Administration (FAA) opening the possibility of more areas for drones to be used, such as delivery, there will be increasingly more intera ctions between humans and drones soon. Although current human drone interaction (HDI) investigate what factors are necessary for safe interactions, very few has focused on drone illumination. Therefore, in this study, we explored how illumination affects users’ perception of the drone through a distance perception task. Data analysis did not indicate any significant effects in the normal distance estimation task for illumination or distance conditions. However, most participants underestimated the distance in the normal distance estimation task and indicated that the LED drone was closer when it wa s illuminated during the relative distance estimation task, even though the drones were equidistant. In future studies, factors such as the weather conditions, lighting patterns, and height of the drone will be explored.
50
Putrasakti, Sigit. "OPTIMALISASI MANAGEMENT BATTERY DRONE UNTUK MENINGKATKAN EFFISIENSI WAKTU TERBANG DAN PRODUKTIFITAS LUASAN IN-PIT MAPPING MENGGUNAKAN PENDEKATAN GEOMATIKA DRONE DJI PHANTOM 4 RTK DALAM KONSESI PT ARUTMIN INDONESIA." Prosiding Temu Profesi Tahunan PERHAPI 1, no. 1 (March 29, 2020): 201–10. http://dx.doi.org/10.36986/ptptp.v1i1.63.
Full textAbstract:
ABSTRAK Era industri 4.0 saat ini sedang berkembang dengan pesat, hampir semua bidang industri memerlukan dan tersentuh oleh DNA utama dari era industri 4.0, yaitu automasi proses yang lebih cepat. Demikian juga dengan industri pertambangan. Pengelolaan industri pertambangan khususnya tambang batubara juga tidak luput dari praktek-praktek automasi cerdas khas industry 4.0. Salah satu terapan yang dilakukan PT Arutmin Indonesia adalah penggunaan Drone RTK (DJI Phantom 4 RTK) dalam proses in-pit mapping. Output yang akan diharapkan dari in-pit mapping menggunkan drone ini antara lain orthophoto dan kontur topografi yang bisa dimanfaatkan untuk analisis atau pekerjaan selanjutnya. Akan tetapi kendala yang dihadapi pada saat melakukan in-pit mapping menggunakan drone ini adalah keterbatasan kemampuan battery sehingga waktu terbang dan luasan yang dihasilkan dalam pemanfaatan kapasitas battery drone perlu direncanakan dengan baik. Maka diperlukan beberapa usaha yang mampu mengoptimalkan penggunaan drone dalam in-pit mapping. Beberapa titik kritis yang dapat dioptimalkan kaitannya dengan management battery drone, antaranya:Set ketinggian terbangKecepatan terbangOverlaping fotoKetiga praktek optimalisasi penggunaan drone tersebut mampu memaksimalkan penggunaan drone agar lebih efisiensi yaitu lama waktu terbang dan produktifitas luasan area tercapture yang meningkat, maupun memberikan rasa nyaman pilot drone dari kekhawatiran drone terjatuh. Optimalisasi ini dilakukan tentu dengan tidak meninggalkan kualitas hasil pekerjaan in-pit mapping menggunakan pendekatan geomatika drone DJI Phantom 4 RTK. Optimalisasi hal-hal tersebut di atas juga dapat dilakukan secara cepat dan praktis di lapangan, sehingga pilot drone yang sudah mengetahui typical area terbang tentu diharapkan bisa lebih baik dalam melakukan persiapan rencana terbang hingga memberikan hasil yang benar-benar maksimal. Kata kunci: in-pit mapping, geomatika, optimalisasi drone ABSTRACT The 4.0 industrial era is currently developing rapidly, almost all fields of industry require and are touched by the main DNA of the 4.0 industrial era, which is faster automation process. Likewise with the mining industry. The management of the mining industry, especially coal mines, is also not immune from 4.0 industry-specific intelligent automation practices. One of the applications made by PT Arutmin Indonesia is the use of RTK Drones (DJI Phantom 4 RTK) in the in-pit mapping process. The output expected from in-pit mapping using this drone includes orthophoto and topographic contours which can be used for further analysis or work. However, the obstacle faced when conducting in-pit mapping using this drone is the limited ability of the battery so that the flying time and the area generated in the utilization of the battery drone capacity need to be planned properly. Then some efforts are needed to optimize the use of drones in in-pit mapping. Some critical points that can be optimized in relation to battery drone management including: 1. Fly altitude set 2. Flying speed 3. Foto overlapping The three practice points of optimizing the use of drones are able to maximize the use of drones to be more efficient, namely the length of time to fly and the increased productivity of the captured area, as well as providing a sense of comfort for drone pilots from fears of falling drones. This optimization is done by certainly not leaving the quality of the results of the in-pit mapping work using the DJI Phantom 4 RTK drone geomatics approach. Optimization of the things mentioned above can also be done quickly and practically in the field, so that drone pilots who already knew the typical flying area are certainly expected to be better in making flight plan preparations to provide truly maximum results. Keywords: in-pit mapping, geomatics, drone optimization