Relevant bibliographies by topics / Drone show

Contents

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

Academic literature on the topic 'Drone show'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 March 2023

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Journal articles on the topic "Drone show"

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Ellis-Felege, Susan N., Tanner Stechmann, Samuel Hervey, Christopher J. Felege, Robert F. Rockwell, and Andrew F. Barnas. "Nesting Common Eiders (Somateria mollissima) show little behavioral response to fixed-wing drone surveys." Drone Systems and Applications 10, no. 1 (2022): 1–14. http://dx.doi.org/10.1139/juvs-2021-0012.

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Drones may be valuable in polar research because they can minimize researcher activity and overcome logistical, financial, and safety obstacles associated with wildlife research in polar regions. Because polar species may be particularly sensitive to disturbance and some research suggests behavioral responses to drones are species-specific, there is a need for focal species-specific disturbance assessments. We evaluated behavioral responses of nesting Common Eiders (Somateria mollissima (Linnaeus, 1758), n = 19 incubating females) to first, second, or in a few cases third exposure of fixed-win
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Valentino, Rico, Woo-Sung Jung, and Young-Bae Ko. "A Design and Simulation of the Opportunistic Computation Offloading with Learning-Based Prediction for Unmanned Aerial Vehicle (UAV) Clustering Networks." Sensors 18, no. 11 (2018): 3751. http://dx.doi.org/10.3390/s18113751.

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Drones have recently become extremely popular, especially in military and civilian applications. Examples of drone utilization include reconnaissance, surveillance, and packet delivery. As time has passed, drones’ tasks have become larger and more complex. As a result, swarms or clusters of drones are preferred, because they offer more coverage, flexibility, and reliability. However, drone systems have limited computing power and energy resources, which means that sometimes it is difficult for drones to finish their tasks on schedule. A solution to this is required so that drone clusters can c
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Luo, Yawen, and Yuhua Chen. "Energy-Aware Dynamic 3D Placement of Multi-Drone Sensing Fleet." Sensors 21, no. 8 (2021): 2622. http://dx.doi.org/10.3390/s21082622.

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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 regi
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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 (2019): 125. http://dx.doi.org/10.3390/aerospace6110125.

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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 (Hu
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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.

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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
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Al-Qubaydhi, Nader, Abdulrahman Alenezi, Turki Alanazi, et al. "Detection of Unauthorized Unmanned Aerial Vehicles Using YOLOv5 and Transfer Learning." Electronics 11, no. 17 (2022): 2669. http://dx.doi.org/10.3390/electronics11172669.

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Drones/unmanned aerial vehicles (UAVs) have recently grown in popularity due to their inexpensive cost and widespread commercial use. The increased use of drones raises the possibility that they may be employed in illicit activities such as drug smuggling and terrorism. Thus, drone monitoring and automated detection are critical for protecting restricted areas or special zones from illicit drone operations. One of the most challenging difficulties in drone detection in surveillance videos is the apparent likeness of drones against varied backdrops. This paper introduces an automated image-base
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Jarrah, Khaled, Yazen Alali, Alyssa Lalko, and Osamah Rawashdeh. "Flight Time Optimization and Modeling of a Hybrid Gasoline–Electric Multirotor Drone: An Experimental Study." Aerospace 9, no. 12 (2022): 799. http://dx.doi.org/10.3390/aerospace9120799.

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Drones have evolved rapidly over the decades, but the limited flight time inhibits multirotor drones from performing long-duration tasks. Batteries that power drones are considered an inadequate power source due to their low energy density. As gasoline is an energy-dense source, combining an electric propulsion system with gasoline engines should be considered. This paper proposes a novel hybrid multirotor drone design using two gasoline engines to provide the majority of the lift force and four electric motors to stabilize the drone. These propulsion systems have been characterized and optimi
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Chen, Yu-Che, and Chenyu Huang. "Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities." Smart Cities 4, no. 1 (2021): 78–92. http://dx.doi.org/10.3390/smartcities4010005.

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Realizing the benefits of drones while minimizing public concerns requires development and implementation of drone use policies that are grounded in an understanding of drone users and their behavior. This study aims to contribute to data-driven smart cities by filling our gap in knowledge about city drone users and their compliance behavior. The literature review has identified the main factors affecting drone policy compliance. This study collects data via a national survey of adults on drone behavior and focuses on city drone users. The results show that city drone users are younger with mo
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Chen, Yu-Che, and Chenyu Huang. "Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities." Smart Cities 4, no. 1 (2021): 78–92. http://dx.doi.org/10.3390/smartcities4010005.

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Realizing the benefits of drones while minimizing public concerns requires development and implementation of drone use policies that are grounded in an understanding of drone users and their behavior. This study aims to contribute to data-driven smart cities by filling our gap in knowledge about city drone users and their compliance behavior. The literature review has identified the main factors affecting drone policy compliance. This study collects data via a national survey of adults on drone behavior and focuses on city drone users. The results show that city drone users are younger with mo
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Jackman, A. H. "Rhetorics of possibility and inevitability in commercial drone tradescapes." Geographica Helvetica 71, no. 1 (2016): 1–6. http://dx.doi.org/10.5194/gh-71-1-2016.

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Abstract. Drones have been posited as the "signature device of the present moment" (Noys, 2014). Whilst research into the proliferation of drones in military and defence spheres is gaining notable momentum, drones in commercial and "civilian" contexts "have remained widely unnoticed in academic research" (Klauser and Pedrozo, 2015:285). Complementing emergent scholarship in this area, this paper seeks to both explore and assert the trade show as a valuable site of (industry and advocacy) community "copresence" (McCann, 2011). Drawing upon empirical data, this paper unpacks the rhetorical frami
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Dissertations / Theses on the topic "Drone show"

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Wretblad, Niklas, Linus Aarnio, Eric Dahlgren, et al. "Drönarljusuppvisning : Ett system för en samlad drönarsvärm för ljusuppvisningar i luften." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166875.

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Den här rapporten beskriver och behandlar resultatet av ett kandidatarbete som utfördes i kursen TDDD96:Kandidatprojekt i programvaruutveckling som ges vid Linköpings universitet. Namnet på projektet som har utförts är Drone Light Display och det beställdes av RISE Research Institutes of Sweden AB. Den division av RISE som har lokaler på Linköpings universitet är inriktade på drönarforskning. Uppdraget blev därför att skapa en algoritm för att detektera och undvika kollision mellan drönare samt implementera ett omkringliggande system för att generera ljusshower med hjälp av drönare som flyger
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Овчарек, Володимир, Олена Слітюк, Олександр Яворський та Назар Нощенко. "Екологічні та візуальні переваги безпілотників у створенні світлової вистави". Thesis, Київський національний університет технологій та дизайну, 2021. https://er.knutd.edu.ua/handle/123456789/18127.

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Надано результати дослідження екологічної переваги безпілотних світлових шоу над піротехнічними виробами. Метою стало визначення негативного впливу піротехнічних виробів на навколишнє середовище та надання безпечної альтернативи у вигляді безпілотників. На основі аналізу охарактеризовано технологію та послідовність створення світлової вистави безпілотників, встановлення та координації дронів, їхнього управління, правила та безпека їхнього застосування та перспективи для розвитку. Визначені основні умови, які впливають на відтворення успішної світлової вистави.<br>The paper presents the researc
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Books on the topic "Drone show"

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Malmqvist, Lara. The Drone at the Diamond Valley Chop Shop. FriesenPress, 2019.

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Press, Alton Book. Incredible Farm Coloring Activity Coloring Book: 40 Activity for Girls 8-12 Shop, Bucket, Shop, Shop, Smartfarm, Drone, Windturbine, Worm Image Quizzes Words and Coloring Book. Independently Published, 2020.

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K, Anbazhagan, and Ambika Parameswari K. Arduino Sun Tracking, Robotic Arm, Cell Phone Controlled Robot Car, Propeller Drove Show, Automatic Plant Irrigation Interesting Projects for Future Enhancement. Independently Published, 2019.

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Shovlin, John. Trading with the Enemy. Yale University Press, 2021. http://dx.doi.org/10.12987/yale/9780300253566.001.0001.

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Britain and France waged war eight times in the century following the Glorious Revolution, a mutual antagonism long regarded as a “Second Hundred Years” War. Yet officials on both sides also initiated ententes, free trade schemes, and colonial bargains intended to avert future conflict. What drove this quest for a more peaceful order? This book reveals the extent to which Britain and France sought to divert their rivalry away from war and into commercial competition. The two powers worked to end future conflict over trade in Spanish America, the Caribbean, and India, and imagined forms of empi
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Floreano, Dario, and Nicola Nosengo. Tales from a Robotic World. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/13489.001.0001.

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Stories from the future of intelligent machines—from rescue drones to robot spouses—and accounts of cutting-edge research that could make it all possible. Tech prognosticators promised us robots—autonomous humanoids that could carry out any number of tasks. Instead, we have robot vacuum cleaners. But, as Dario Floreano and Nicola Nosengo report, advances in robotics could bring those rosy predictions closer to reality. A new generation of robots, directly inspired by the intelligence and bodies of living organisms, will be able not only to process data but to interact physically with humans an
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Zehfuss, Maja. Targeting: Precision Bombing and the Production of Ethics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807995.003.0003.

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The chapter examines claims that precision bombing has made warfare more ethical. It traces claims that deploying technology to increase precision, complemented by greater efforts to avoid collateral damage through targeting processes, has made warfare more acceptable in an ethical sense. It explores the meaning of ‘precision’ and questions to what extent ‘precision’ actually entails protection for non-combatants. The chapter shows how the praise for precision not only produces Western warfare as ethical but also both relies upon and reproduces a particular kind of ethics, based on the idea of
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Oates, Rosamund. ‘The Laughter of Satan’. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804802.003.0002.

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This chapter explores the ideas at the heart of Puritanism, examining Tobie Matthew’s early radicalism. Using the controversies over vestments in 1564–6 and the visit of Elizabeth I to the University of Oxford in 1566, the chapter shows that the idea of ‘edification’ became a central principle of Puritanism. This chapter explores the spiritual demands of edifying reform and shows how it drove English Puritans into conflict with the monarch and the Established Church. It demonstrates that Matthew’s Puritanism was rooted in the experience of Marian exiles, and that he drew on their Calvinism and
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Shelton, Jon. Teacher Power, Black Power, and the fracturing of Labor Liberalism. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040870.003.0003.

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This chapter chronicles the growing conflict between the Black Power movement—an extension of the civil rights movement seeking the formation of black political and community institutions—and unionized public employees in the late 1960s and early 1970s. Beginning with the United Federation of Teachers strike in 1968 over community control in Ocean Hill-Brownsville (New York City), the chapter also shows how two teacher strikes in Newark (1970, 1971) drove apart the Black community and a majority white teacher union. A close examination of letters to the imprisoned President of the American Fed
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Schreiter, Katrin. Designing One Nation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190877279.001.0001.

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The histories of East and West Germany traditionally emphasize the Cold War rivalries between the communist and capitalist nations. Yet, even as the countries diverged in their political directions, they had to create new ways of working together economically. This book examines the material culture of increasing economic contacts in divided Germany from the 1940s until the 1990s. Trade events, such as fairs and product shows, became one of the few venues for sustained links and knowledge between the two countries after the building of the Berlin Wall. The book uses industrial design, epitomiz
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Piatkowski, Marcin. Fundamental Sources of Poland’s Growth. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789345.003.0007.

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In this chapter I focus on the fundamental causes of the Polish growth miracle, namely the adoption of Western institutions. I start by documenting how the prospect of the EU accession drove the institution building. I show what institutions Poland adopted and how they were key to the country’s economic performance. I argue that Poland was among the fastest adopters of Western institutions, which helped it grow more rapidly than other transition economies. I then focus on the fundamental question of why Poland wanted to adopt good institutions from the West. I argue that Poland built good inst
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Book chapters on the topic "Drone show"

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Al-Mamari, Mahmood M., Sameh A. Kantoush, and Tetsuya Sumi. "Innovative Monitoring Techniques for Wadi Flash Flood by Using Image-Based Analysis." In Natural Disaster Science and Mitigation Engineering: DPRI reports. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_9.

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AbstractFlash floods in wadi systems are a very important environmental issue, and their monitoring is necessary for many applications, including water resource management, irrigation and flood control. However, monitoring networks are very rare and lack spatial distribution features. In this study, image-based techniques were used to quantify and monitor flash floods in wadi channels by using two different methods. In the first section, we employed photogrammetry processing technique to quantify post-peak flood discharges by using a drone survey to build a digital elevation model (DEM) with a high resolution and calibrated and validated the model with a field survey (levelling measurements). This technique used drone-collected images to construct a DEM for extracting a cross-sectional profile and elevation points to calculate the peak discharge using the slope-area method with the Manning equation. In the second section, we combined the previous technique with the large-scale particle image velocimetry (LSPIV) technique to measure flash flood discharge by installing a fixed camera on a road bridge crossing a wadi channel and using a digitally extracted cross section from the DEM in the analysis. The results of those techniques show a high efficiency that is equivalent to that of conventional methods.
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Horvath, Joan, and Rich Cameron. "Robots, Drones, and Other Things That Move." In The New Shop Class. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0904-2_4.

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Saber, Mohamed, Sameh A. Kantoush, Tetsuya Sumi, et al. "Integrated Study of Flash Floods in Wadi Basins Considering Sedimentation and Climate Change: An International Collaboration Project." In Natural Disaster Science and Mitigation Engineering: DPRI reports. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_15.

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AbstractRecently, Wadi flash floods (WFFs) have happened frequently in arid environments, resulting in great damage the society and the environment. In Oman, severe WFFs have occurred repeatedly within the last 10 years causing a huge impact on human lives and properties. This paper aims at introducing the framework of an international collaboration project between Japan and Oman for WFF management considering sediment dynamics and climate changes. Four research groups were established: climate change (G1), rainfall-runoff modeling (G2), sediment yield and transport (G3), and sedimentation and infiltration processes (G4). Several field investigations were conducted since 2017 until now. The detailed field survey to assess the deposited sediment in a dry reservoir by using sediment bars, and infiltration test, as well as drone survey were addressed. Some of the preliminary results and findings from the field investigation is discussed. The results show there is an adverse impact of sedimentation clogging on the infiltration process at the reservoirs. Based on the historical rainfall data analysis, there is a systematic increasing trend of the annual average precipitation with remarkable cycles over the MENA region and Oman. The knowledge obtained from this project is expected to be valuable to understanding sediment dynamics at Wadi basins.
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Khoshboresh-Masouleh, Mehdi, and Reza Shah-Hosseini. "2D Target/Anomaly Detection in Time Series Drone Images Using Deep Few-Shot Learning in Small Training Dataset." In Studies in Computational Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99079-4_10.

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Corradini, Maria Letizia, Gianluca Ippoliti, Giuseppe Orlando, and Simone Terramani. "Study and Development of Robust Control Systems for Educational Drones." In Makers at School, Educational Robotics and Innovative Learning Environments. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77040-2_40.

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AbstractThis paper considers the problem of attitude and altitude control of quadrotors using the sliding mode control theory. The mathematical model of the quadrotor is derived using the Euler-Newton formalism. The sliding-mode is applied to the Parrot Mambo minidrone, which is a strong example of bringing educational robotics to formal (MATLAB, Python, JavaScript), non-formal (Tynker, Blockly, Swift Playground) and informal education. The control considered shows good performance and enhanced robustness.
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Chang, Wanli, Swaminathan Narayanaswamy, Alma Pröbstl, and Samarjit Chakraborty. "Reliable CPS Design for Unreliable Hardware Platforms." In Dependable Embedded Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52017-5_23.

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AbstractToday, many battery-operated cyber-physical systems (CPS) ranging from domestic robots, to drones, and electric vehicles are highly software-intensive. The software in such systems involves multiple feedback control loops that implement different functionality. How these control loops are designed is closely related to both the semiconductor aging of the processors on which the software is run and also the aging of the batteries in these systems. For example, sudden acceleration in an electric vehicle can negatively impact the health of the vehicle’s battery. On the other hand, processors age over time and stress, impacting the execution of control algorithms and thus the control performance. With increasing semiconductor scaling, and our increasing reliance on battery-operated devices, these aging effects are of concern for the lifetime of these devices. Traditionally, the design of the control loops focused only on control-theoretic metrics, related to stability and performance (such as peak overshoot or settling time). In this chapter we show that such controller design techniques that are oblivious of the characteristics of the hardware implementation platform dramatically worsen the battery behaviour and violate the safety requirement with processor aging. However, with proper controller design these effects can be mitigated—thereby improving the lifetime of the devices.
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Hari Hara Nithin Reddy, Manupati. "Brain Computer Interface Drone." In Brain-Computer Interface [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97558.

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Brain-Computer Interface has emerged from dazzling experiments of cognitive scientists and researchers who dig deep into the conscious of the human brain where neuroscience, signal processing, machine learning, physical sciences are blended together and neuroprosthesis, neuro spellers, bionic eyes, prosthetic arms, prosthetic legs are created which made the disabled to walk, a mute to express and talk, a blind to see the beautiful world, a deaf to hear, etc. My main aim is to analyze the frequency domain signal of the brain signals of 5 subjects at their respective mental states using an EEG and show how to control a DJI Tello drone using Insight EEG then present the results and interpretation of band power graph, FFT graph and time-domain signals graph of mental commands during the live control of the drone.
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Pham, Hoang N., Huy A. Dinh, Phat V. Thai, Trung T. Nguyen, and Binh T. Nguyen. "Drone Detection Using Deep Neural Networks." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220280.

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Unmanned aerial vehicles (UAVs) have brought many practical benefits during the last decades. Moreover, as technology advances, UAVs become more optimal in size and range. However, the threat posed by these devices is also increasing if people misuse them for illegal activities (such as terrorism, drug trafficking, etc.), which poses a high risk to security for different organizations and governments. Hence, detection and monitoring of drones are crucial to prevent security breaches. However, the small size and similarity to wild birds in the complex background of drones pose a significant challenge. This paper addresses the detection of small drones in real surveillance videos using standard deep learning-based object recognition methods. Our method approaches the drone detection problem by training the YOLOv4 model with modifications in the network structure, training strategy, and pre-anchor boxes for better small object detection. We also integrate the Seq-NMS post-processing phase to increase detection reliability and reduce false alarms. The experimental results show that our approach can perform better than the previous methods.
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Vu Hop, Tran, Nguyen Van Loi, Pham Van Tien, and Phung Dinh Thang. "A Discrete Clutter Reduction Method for Drone Detection with High Resolution Radars." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220543.

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The paper deals with a problem of noise reduction for drone detection with high range resolution radars. The considered discrete clutter includes land vehicles, birds, etc. This clutter involves in the radar echo signals and could not be rejected by using classical methods, for example moving target indicator (MTI) and moving target detection (MTD). As a result, this clutter forms the false alarms on the radar screen. To reduce clutter we propose a new method which is based on the target’s Doppler dispersion and moving characteristic. The study is integrated on a drone detection radar and is tested with a variety of drones in different moving scenarios. The test results show that the proposed method achieves a better performance than that one recently published.
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Villota Miranda, David, Montserrat Gil Martínez, and Javier Rico-Azagra. "A3C for drone autonomous driving using Airsim." In XLII JORNADAS DE AUTOMÁTICA : LIBRO DE ACTAS. Servizo de Publicacións da UDC, 2021. http://dx.doi.org/10.17979/spudc.9788497498043.203.

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In this work, we apply artificial intelligence to guide a drone to a certain point autonomously. Unreal engine creates a virtual environment where the drone can fly, and the algorithm is trained simulating the drone dynamics thanks to Airsim plugin. The implemented algorithm is Asynchronous Actor-Critic Advantage (A3C), which trains a neural network with less computing resources than standard reinforcement learning algorithms that normally needs costly GPUs. To prove these advantages, several experiments are run using a different number of parallel simulations (threads). The drone should reach a point randomly generated each episode. The reward, the value and the advantage function are used to evaluate the performance. As expected, these experiments show that a higher number of threads helps the leaning process improve and become more stable. These learning results are of interest to optimize the computing resources in future applications.
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Conference papers on the topic "Drone show"

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Virbora, Ny, Un Sokoeun, Meas Saran, Sous Sovicheyratana, Srun Channareth, and Srim Saravuth. "Implementation of Matrix Drone Show Using Automatic Path Generator with DJI Tello Drones." In 2022 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2022. http://dx.doi.org/10.1109/iceet56468.2022.10007090.

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Rosenfeld, Ariel, Oleg Maksimov, and Sarit Kraus. "Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/535.

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Drones can assist in mitigating traffic accidents by deterring reckless drivers, leveraging their flexible mobility. In the real world, drones are fundamentally limited by their battery/fuel capacity and have to be replenished during long operations. In this paper, we propose a novel approach where police cruisers act as mobile replenishment providers in addition to their traffic enforcement duties. We propose a binary integer linear program for determining the optimal rendezvous cruiser-drone enforcement policy which guarantees that all drones are replenished on time and minimizes the likelih
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Doroftei, Daniela, Geert De Cubber, and Hans De Smet. "Assessing Human Factors for Drone Operations in a Simulation Environment." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002319.

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The number of small drones and drone operations is expanding and proliferating tremendously. However, there is a problem. Drones crash. Often. When they do, international studies show that over 70% of the drone crashes can be related to human factors. Combining these two facts, it is clear that - if we want to avoid a massive number of drone incidents in the future – it is required to develop a strategy to incorporate human factors in the drone deployment process and the training of drone pilots. Pilots for regular aircraft or for larger (typically military) drones generally follow extensive s
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Zudio, Anderson, Igor Machado Coelho, and Luiz Satoru Ochi. "Biased Random-key Genetic Algorithm for theHybrid Vehicle-drone Routing Problem for Pick-upand Delivery." In Congresso Brasileiro de Inteligência Computacional. SBIC, 2021. http://dx.doi.org/10.21528/cbic2021-107.

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The Hybrid Vehicle drone Routing Problem (HVDRP) was recently introduced as an extension of the classic Vehicle Routing Problem (VRP). In this version, one vehicle is equipped with multiple drones to serve customers with demands for pick-up and delivery. The vehicle travels between stations that serve as parking locations to dispatch drones to attend clients. The drones have limitations in their maximum flight range and carrying capacity. We propose a BRKGA algorithm to solve HVDRP with a decoder component specially tailored to find feasible solutions. The proposed method is empirically analyz
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Hoang, Samantha, Laurel Marsh, Alberto Aliseda, and I. Y. Shen. "Analysis of High Fidelity Modeling of Drone Dynamics and Aerodynamics for Reduced Energy Consumption." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22481.

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Abstract This paper studies the effect of rotor blade aerodynamics and rotor grouping on the accuracy of open-loop simulations with respect to generated trajectories and energy consumption for multi-rotor drones. To examine these effects an 18-rotor high performance drone carrying a 30 kg payload is used. The effect of the rotor blade aerodynamic model on simulation results is examined by comparing roll, pitch, yaw, and vertical motion trajectories produced when using blade element theory model with trajectories produced when using a lumped blade model. The results show a 20% difference betwee
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Serra, Wendel, Warley Junior, Isaac Barros, Hugo Kuribayashi, and João Carmona. "Monitoring and Smart Decision Architecture for DRONE-FOG Integrated Environment." In Simpósio Brasileiro de Computação Ubíqua e Pervasiva. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/sbcup.2021.16008.

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Due to the limited computing resources of drones, it is difficult to handle computation-intensive tasks locally, hence, fog-based computation offloading has been widely adopted. The effectiveness of an offloading operation, however, is determined by its ability to infer where the execution of code/data represents less computational effort for the drone, so that, by deciding where to offload correctly, the device benefits. Thus, this paper proposes MonDroneFog, a novel fog-based architecture that supports image offloading, as well as monitoring and storing the performance metrics related to the
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Hashemi, Seyed Reza, Roja Esmaeeli, Haniph Aliniagerdroudbari, et al. "New Intelligent Battery Management System for Drones." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10479.

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Abstract Drones or Unmanned Aerial Vehicles (UAV) are the aircraft controlled remotely by radio waves or autonomously and can fly without a pilot and passengers. Demands for drones with long flight times are increasing significantly in the personal and commercial applications. One of the main issues about drones is their power management. However, these devices are powered by a high energy density lithium battery, but a flight time range could be about 20–40 min. Increasing the battery energy storage capacity to achieve more flight time is not usually a good idea due to the additional weight i
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Kim, Hae-Jun, and Hyo-Sung Ahn. "Realization of swarm formation flying and optimal trajectory generation for multi-drone performance show." In 2016 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2016. http://dx.doi.org/10.1109/sii.2016.7844106.

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Almughani-Alnaqbi, Mohamed Abdalla. "Firefighting Drones - A Safer & Efficient Technology to Confront Industrial Fires." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208043-ms.

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Abstract Objectives/Scope This paper presents the variety of possibilities that this new technology can offer and how we can apply those technologies to optimize our HSE and take preventive measures that will be economically and humane solutions to crises. New technology, including Artificial Intelligence &amp; Robots, does not necessarily mean it will replace human jobs and human judgment but will be used as tools to minimize hazards in critical situations and helps to solve the problems in a faster and efficient way. Methods, Procedures, Process The recommended technology to fight fire in ha
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Dominiece-Diasa, Baiba, Ineta Portnova, and Tatjana Volkova. "STRATEGIC FORESIGHT: TOWARDS ENHANCING LEADERSHIP CAPABILITIES AND BUSINESS SUSTAINABILITY." In Business and Management 2018. VGTU Technika, 2018. http://dx.doi.org/10.3846/bm.2018.05.

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Organizations with well-developed strategic foresight capabilities have higher level awareness about the emerging pattern of external environment threats and opportunities and make better decisions to respond to these challenges. Scholars emphasise that even though topics on leadership and leadership capabilities have become increasingly popular, there is still little research on concepts and methods of ”futures studies”. Research purpose is to investigate the level of development of strategic foresight capabilities on the top management level in the drone industry and its application for ensu
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Reports on the topic "Drone show"

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Bäumler, Maximilian, Madlen Ringhand, Christian Siebke, Marcus Mai, Felix Elrod, and Günther Prokop. Report on validation of the stochastic traffic simulation (Part B). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.243.

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This document is intended to give an overview of the validation of the human subject study, conducted in the driving simulator of the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD), as well of the validation of the stochastic traffic simulation developed in the AutoDrive project by the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD. Furthermore, the evaluation process of a C-AEB (Cooperative-Automatic Emergency Brake) system is demonstrated. The main purpose was to compare the driving behavi
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Cook, Stephen, and Loyd Hook. Developmental Pillars of Increased Autonomy for Aircraft Systems. ASTM International, 2020. http://dx.doi.org/10.1520/tr2-eb.

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Increased automation for aircraft systems holds the promise to increase safety, precision, and availability for manned and unmanned aircraft. Specifically, established aviation segments, such as general aviation and light sport, could utilize increased automation to make significant progress towards solving safety and piloting difficulties that have plagued them for some time. Further, many emerging market segments, such as urban air mobility and small unmanned (e.g., small parcel delivery with drones) have a strong financial incentive to develop increased automation to relieve the pilot workl
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