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Journal articles on the topic 'Multiple drone control'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Lee, Woonghee, Joon Lee, Jiyeon Lee, et al. "Ground Control System Based Routing for Reliable and Efficient Multi-Drone Control System." Applied Sciences 8, no. 11 (2018): 2027. http://dx.doi.org/10.3390/app8112027.

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Various unmanned aerial vehicles (UAVs), also called drones, have developed based on advances in hardware and software technologies. Thus, service providers in diverse areas have tried to utilize drones to create more effective solutions. In many cases, employing multiple drones is more effective to perform the given mission than using a single drone. To utilize multiple drones, the drones should be strongly connected, but it is not trivial to construct reliable and efficient networks for drones due to their high mobility. Therefore, we propose a ground control system (GCS) routing protocol (G

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2

Shin, Jae-Min, Yu-Sin Kim, Tae-Won Ban, Suna Choi, Kyu-Min Kang, and Jong-Yeol Ryu. "Position Tracking Techniques Using Multiple Receivers for Anti-Drone Systems." Sensors 21, no. 1 (2020): 35. http://dx.doi.org/10.3390/s21010035.

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The need for drone traffic control management has emerged as the demand for drones increased. Particularly, in order to control unauthorized drones, the systems to detect and track drones have to be developed. In this paper, we propose the drone position tracking system using multiple Bluetooth low energy (BLE) receivers. The proposed system first estimates the target’s location, which consists of the distance and angle, while using the received signal strength indication (RSSI) signals at four BLE receivers and gradually tracks the target based on the estimated distance and angle. We propose

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Upadhyay, Jatin, Abhishek Rawat, and Dipankar Deb. "Multiple Drone Navigation and Formation Using Selective Target Tracking-Based Computer Vision." Electronics 10, no. 17 (2021): 2125. http://dx.doi.org/10.3390/electronics10172125.

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Autonomous unmanned aerial vehicles work seamlessly within the GPS signal range, but their performance deteriorates in GPS-denied regions. This paper presents a unique collaborative computer vision-based approach for target tracking as per the image’s specific location of interest. The proposed method tracks any object without considering its properties like shape, color, size, or pattern. It is required to keep the target visible and line of sight during the tracking. The method gives freedom of selection to a user to track any target from the image and form a formation around it. We calculat

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Henry, Chris, Sahadev Poudel, Sang-Woong Lee, and Heon Jeong. "Automatic Detection System of Deteriorated PV Modules Using Drone with Thermal Camera." Applied Sciences 10, no. 11 (2020): 3802. http://dx.doi.org/10.3390/app10113802.

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In the last few decades, photovoltaic (PV) power station installations have surged across the globe. The output efficiency of these stations deteriorates with the passage of time due to multiple factors such as hotspots, shaded cell or module, short-circuited bypass diodes, etc. Traditionally, technicians inspect each solar panel in a PV power station using infrared thermography to ensure consistent output efficiency. With the advancement of drone technology, researchers have proposed to use drones equipped with thermal cameras for PV power station monitoring. However, most of these drone-base

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Zhao, Zhihui, Jing Wang, Yangquan Chen, and Shuang Ju. "Iterative learning-based formation control for multiple quadrotor unmanned aerial vehicles." International Journal of Advanced Robotic Systems 17, no. 2 (2020): 172988142091152. http://dx.doi.org/10.1177/1729881420911520.

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A double-layer formation control is proposed to solve the repeated tasks for multiple quadrotor unmanned aerial vehicle systems. The first layer aims at achieving a formation target in which the iterative learning control is designed based on relative distance with neighbor unmanned aerial vehicles and absolute distance with virtual leader unmanned aerial vehicle. The formation controller is responsible for keeping the formation shape and generating the desired flying trajectories for each drones. The second layer control aims at achieving a high-precision tracking to desired flying trajectori

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Hung, I.-Kuai, Daniel Unger, David Kulhavy, and Yanli Zhang. "Positional Precision Analysis of Orthomosaics Derived from Drone Captured Aerial Imagery." Drones 3, no. 2 (2019): 46. http://dx.doi.org/10.3390/drones3020046.

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The advancement of drones has revolutionized the production of aerial imagery. Using a drone with its associated flight control and image processing applications, a high resolution orthorectified mosaic from multiple individual aerial images can be produced within just a few hours. However, the positional precision and accuracy of any orthomosaic produced should not be overlooked. In this project, we flew a DJI Phantom drone once a month over a seven-month period over Oak Grove Cemetery in Nacogdoches, Texas, USA resulting in seven orthomosaics of the same location. We identified 30 ground con

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Steup, Christoph, Jonathan Beckhaus, and Sanaz Mostaghim. "A Single-Copter UWB-Ranging-Based Localization System Extendable to a Swarm of Drones." Drones 5, no. 3 (2021): 85. http://dx.doi.org/10.3390/drones5030085.

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This paper presents a single-copter localization system as a first step towards a scalable multihop drone swarm localization system. The drone was equipped with ultrawideband (UWB) transceiver modules, which can be used for communication, as well as distance measurement. The location of the drone was detected based on fixed anchor points using a single type of UWB transceiver. Our aim is to create a swarm localization system that enables drones to switch their role between an active swarm member and an anchor node to enhance the localization of the whole swarm. To this end, this paper presents

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Ganesan, Rajesh, X. Mercilin Raajini, Anand Nayyar, Padmanaban Sanjeevikumar, Eklas Hossain, and Ahmet H. Ertas. "BOLD: Bio-Inspired Optimized Leader Election for Multiple Drones." Sensors 20, no. 11 (2020): 3134. http://dx.doi.org/10.3390/s20113134.

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Over the past few years, unmanned aerial vehicles (UAV) or drones have been used for many applications. In certain applications like surveillance and emergency rescue operations, multiple drones work as a network to achieve the target in which any one of the drones will act as the master or coordinator to communicate, monitor, and control other drones. Hence, drones are energy-constrained; there is a need for effective coordination among them in terms of decision making and communication between drones and base stations during these critical situations. This paper focuses on providing an effic

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Basso, Maik, Iulisloi Zacarias, Carlos Tussi Leite, Haijun Wang, and Edison Pignaton de Freitas. "A Practical Deployment of a Communication Infrastructure to Support the Employment of Multiple Surveillance Drones Systems." Drones 2, no. 3 (2018): 26. http://dx.doi.org/10.3390/drones2030026.

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In many incidents involving amateur drones (ADr), the big challenge is to quickly deploy a surveillance system that countermeasures the threat and keeps track of the intruders. Depending on the area under concern, launching a single surveillance drone (SDr) to hunt the intruder is not efficient, but employing multiple ones can cope with the problem. However, in order to make this approach feasible, an easy to use mission setup and control station for multiple SDr is required, which by its turn, requires a communication infrastructure able to handle the connection of multiple SDr among themselv

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Prodělalová, Jana, Romana Moutelíková, and Dalibor Titěra. "Multiple Virus Infections in Western Honeybee (Apis mellifera L.) Ejaculate Used for Instrumental Insemination." Viruses 11, no. 4 (2019): 306. http://dx.doi.org/10.3390/v11040306.

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Instrumental insemination of Apis mellifera L. queens is a widely employed technique used in honeybee breeding that enables the effective control of mating. However, drone semen represents a potential source of honeybee viruses. In this study, 43 semen doses collected from apparently healthy drones, and consequently used in instrumental insemination, were analysed using PCR or RT-PCR to detect the presence of viral genome of 11 honeybee viruses. In 91% of samples, viral infection was detected. The survey revealed genomes of five viruses, namely Deformed wing virus (DWV), Acute bee paralysis vi

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Gali, Saiteja. "Drone Detection and Auto Destroy System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 4274–76. http://dx.doi.org/10.22214/ijraset.2021.35795.

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The purpose of this project is to design and construct automatic drone detection and destroying system using embedded systems. This system is designed to detect the target (drone) moving in multiple directions. The target destroying system moves automatically in the direction of drone and fires it upon fixing the target. In this project we are making use of infrared sensor based radar system and a dc motor driven laser firing unit interfaced with a microcontroller based control unit. Embedded C programming is used for Microcontroller.

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Butcher, Paul, Andrew Colefax, Robert Gorkin, et al. "The Drone Revolution of Shark Science: A Review." Drones 5, no. 1 (2021): 8. http://dx.doi.org/10.3390/drones5010008.

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Over the past decade, drones have become a popular tool for wildlife management and research. Drones have shown significant value for animals that were often difficult or dangerous to study using traditional survey methods. In the past five years drone technology has become commonplace for shark research with their use above, and more recently, below the water helping to minimise knowledge gaps about these cryptic species. Drones have enhanced our understanding of shark behaviour and are critically important tools, not only due to the importance and conservation of the animals in the ecosystem

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Stanković, Miloš, Mohammad Meraj Mirza, and Umit Karabiyik. "UAV Forensics: DJI Mini 2 Case Study." Drones 5, no. 2 (2021): 49. http://dx.doi.org/10.3390/drones5020049.

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Rapid technology advancements, especially in the past decade, have allowed off-the-shelf unmanned aerial vehicles (UAVs) that weigh less than 250 g to become available for recreational use by the general population. Many well-known manufacturers (e.g., DJI) are now focusing on this segment of UAVs, and the new DJI Mini 2 drone is one of many that falls under this category, which enables easy access to be purchased and used without any Part 107 certification and Remote ID registration. The versatility of drones and drone models is appealing for customers, but they pose many challenges to forens

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Billingsley, Ethan, Mehdi Ghommem, Rui Vasconcellos, and Abdessattar Abdelkefi. "On the Aerodynamic Analysis and Conceptual Design of Bioinspired Multi-Flapping-Wing Drones." Drones 5, no. 3 (2021): 64. http://dx.doi.org/10.3390/drones5030064.

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Many research studies have investigated the characteristics of bird flights as a source of bioinspiration for the design of flapping-wing micro air vehicles. However, to the best of the authors’ knowledge, no drone design targeted the exploitation of the aerodynamic benefits associated with avian group formation flight. Therefore, in this work, a conceptual design of a novel multi-flapping-wing drone that incorporates multiple pairs of wings arranged in a V-shape is proposed in order to simultaneously increase the propulsive efficiency and achieve superior performance. First, a mission plan is

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15

Oh, Donggeun, and Junghee Han. "Fisheye-Based Smart Control System for Autonomous UAV Operation." Sensors 20, no. 24 (2020): 7321. http://dx.doi.org/10.3390/s20247321.

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Recently, as UAVs (unmanned aerial vehicles) have become smaller and higher-performance, they play a very important role in the Internet of Things (IoT). Especially, UAVs are currently used not only in military fields but also in various private sectors such as IT, agriculture, logistics, construction, etc. The range is further expected to increase. Drone-related techniques need to evolve along with this change. In particular, there is a need for the development of an autonomous system in which a drone can determine and accomplish its mission even in the absence of remote control from a GCS (G

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Et.al, Hun Oh. "Development of Drone Mounted BLDC Motor Stator using Multi Stacked Structure of Cartridge." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 602–7. http://dx.doi.org/10.17762/turcomat.v12i6.2004.

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Received:11 november 2020; Accepted: 27 December 2020; Published online: 05 April 2021 Abstract: Drones are used in agriculture and external control, utilizing cameras, various sensors, and autonomous flight functions. However, it is difficult to fly for a long time because of flying with heavy equipment. Therefore, it is necessary to increase the flight time through lightening of the drone itself and efficient control of the BLDC motor. That is, it is necessary to improve the motor itself, which accounts for most of the energy consumption in drone flight. Stator fabrication of existing

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17

Lee, Woonghee. "Enabling Reliable UAV Control by Utilizing Multiple Protocols and Paths for Transmitting Duplicated Control Packets." Sensors 21, no. 9 (2021): 3295. http://dx.doi.org/10.3390/s21093295.

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In the last ten years, supported by the advances in technologies for unmanned aerial vehicles (UAVs), UAVs have developed rapidly and are utilized for a wide range of applications. To operate UAVs safely, by exchanging control packets continuously, operators should be able to monitor UAVs in real-time and deal with any problems immediately. However, due to any networking problems or unstable wireless communications, control packets can be lost or transmissions can be delayed, which causes the unstable drone control. To overcome this limitation, in this paper, we propose MuTran for enabling rel

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Foehn, Philipp, Angel Romero, and Davide Scaramuzza. "Time-optimal planning for quadrotor waypoint flight." Science Robotics 6, no. 56 (2021): eabh1221. http://dx.doi.org/10.1126/scirobotics.abh1221.

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Quadrotors are among the most agile flying robots. However, planning time-optimal trajectories at the actuation limit through multiple waypoints remains an open problem. This is crucial for applications such as inspection, delivery, search and rescue, and drone racing. Early works used polynomial trajectory formulations, which do not exploit the full actuator potential because of their inherent smoothness. Recent works resorted to numerical optimization but require waypoints to be allocated as costs or constraints at specific discrete times. However, this time allocation is a priori unknown an

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Rohan, Ali, Mohammed Rabah, Muhammad Talha, and Sung-Ho Kim. "Development of Intelligent Drone Battery Charging System Based on Wireless Power Transmission Using Hill Climbing Algorithm." Applied System Innovation 1, no. 4 (2018): 44. http://dx.doi.org/10.3390/asi1040044.

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In this work, an advanced drone battery charging system is developed. The system is composed of a drone charging station with multiple power transmitters and a receiver to charge the battery of a drone. A resonance inductive coupling-based wireless power transmission technique is used. With limits of wireless power transmission in inductive coupling, it is necessary that the coupling between a transmitter and receiver be strong for efficient power transmission; however, for a drone, it is normally hard to land it properly on a charging station or a charging device to get maximum coupling for e

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Kotecha, Ketan, Deepak Garg, Balmukund Mishra, Pratik Narang, and Vipul Kumar Mishra. "Background Invariant Faster Motion Modeling for Drone Action Recognition." Drones 5, no. 3 (2021): 87. http://dx.doi.org/10.3390/drones5030087.

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Visual data collected from drones has opened a new direction for surveillance applications and has recently attracted considerable attention among computer vision researchers. Due to the availability and increasing use of the drone for both public and private sectors, it is a critical futuristic technology to solve multiple surveillance problems in remote areas. One of the fundamental challenges in recognizing crowd monitoring videos’ human action is the precise modeling of an individual’s motion feature. Most state-of-the-art methods heavily rely on optical flow for motion modeling and repres

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Morio, Jérôme, Baptiste Levasseur, and Sylvain Bertrand. "Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis." Applied Sciences 11, no. 9 (2021): 3871. http://dx.doi.org/10.3390/app11093871.

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This paper addresses the estimation of accurate extreme ground impact footprints and probabilistic maps due to a total loss of control of fixed-wing unmanned aerial vehicles after a main engine failure. In this paper, we focus on the ground impact footprints that contains 95%, 99% and 99.9% of the drone impacts. These regions are defined here with density minimum volume sets and may be estimated by Monte Carlo methods. As Monte Carlo approaches lead to an underestimation of extreme ground impact footprints, we consider in this article multiple importance sampling to evaluate them. Then, we per

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Pleşca, Vasile, and Cristian Purece. "Predictive maintenance of photovoltaic plants using multirotor drones with automatic recharging system of Li-Po batteries." E3S Web of Conferences 180 (2020): 02007. http://dx.doi.org/10.1051/e3sconf/202018002007.

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Creating the correct maintenance of the strings that form the electric generators, from a photovoltaic park, it requires scanning of the equipment with thermal vision cameras, in the visible and infrared field, at an optimum angle determined precisely for each location depending on the geographic position and the architecture of the power station. In general, this angle is difficult to maintain from the ground so it is necessary to mount the cameras on a support, or most efficiently on a multi-rotor drone that is very stable and easy to handle. Maintenance using multi-rotor drones and heat sen

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Flórez, Jimmy, José Ortega, Andrés Betancourt, Andrés García, Marlon Bedoya, and Juan S. Botero. "A review of algorithms, methods, and techniques for detecting UAVs and UAS using audio, radiofrequency, and video applications." TecnoLógicas 23, no. 48 (2020): 269–85. http://dx.doi.org/10.22430/22565337.1408.

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Unmanned Aerial Vehicles (UAVs), also known as drones, have had an exponential evolution in recent times due in large part to the development of technologies that enhance the development of these devices. This has resulted in increasingly affordable and better-equipped artifacts, which implies their application in new fields such as agriculture, transport, monitoring, and aerial photography. However, drones have also been used in terrorist acts, privacy violations, and espionage, in addition to involuntary accidents in high-risk zones such as airports. In response to these events, multiple tec

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Cai, Shengze, Yongbin Huang, Bo Ye, and Chao Xu. "Dynamic Illumination Optical Flow Computing for Sensing Multiple Mobile Robots From a Drone." IEEE Transactions on Systems, Man, and Cybernetics: Systems 48, no. 8 (2018): 1370–82. http://dx.doi.org/10.1109/tsmc.2017.2709404.

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Roldán-Gómez, Juan Jesús, Eduardo González-Gironda, and Antonio Barrientos. "A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety." Applied Sciences 11, no. 1 (2021): 363. http://dx.doi.org/10.3390/app11010363.

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Forest firefighting missions encompass multiple tasks related to prevention, surveillance, and extinguishing. This work presents a complete survey of firefighters on the current problems in their work and the potential technological solutions. Additionally, it reviews the efforts performed by the academy and industry to apply different types of robots in the context of firefighting missions. Finally, all this information is used to propose a concept of operation for the comprehensive application of drone swarms in firefighting. The proposed system is a fleet of quadcopters that individually ar

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Zoraja, Sara, and Feđa Netjasov. "The concept of drone operations in the urban areas." Tehnika 76, no. 3 (2021): 345–51. http://dx.doi.org/10.5937/tehnika2103345z.

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In this paper, the concept of drone operations that would be used for transportation of goods in the urban areas, in the lower part of the airspace above urban areas, is proposed. To make the most of the potential that this concept brings, it is necessary to harmonize the already existing operations with the future ones, to design the airspace for these operations, and to adopt regulations that will enable safe operations. Although it is necessary to invest large amounts of money to provide satisfactory conditions for the safe functioning of the system, the benefits that such a system brings w

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Galle, Bo, Santiago Arellano, Nicole Bobrowski, et al. "A multi-purpose, multi-rotor drone system for long-range and high-altitude volcanic gas plume measurements." Atmospheric Measurement Techniques 14, no. 6 (2021): 4255–77. http://dx.doi.org/10.5194/amt-14-4255-2021.

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Abstract. A multi-rotor drone has been adapted for studies of volcanic gas plumes. This adaptation includes improved capacity for high-altitude and long-range, real-time SO2 concentration monitoring, long-range manual control, remotely activated bag sampling and plume speed measurement capability. The drone is capable of acting as a stable platform for various instrument configurations, including multi-component gas analysis system (MultiGAS) instruments for in situ measurements of SO2, H2S, and CO2 concentrations in the gas plume and portable differential optical absorption spectrometer (Mobi

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Wakabayashi, Mizuho, Hiroshi G. Okuno, and Makoto Kumon. "Drone audition listening from the sky estimates multiple sound source positions by integrating sound source localization and data association." Advanced Robotics 34, no. 11 (2020): 744–55. http://dx.doi.org/10.1080/01691864.2020.1757506.

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Lee, Donghee, Wooryong Park, and Woochul Nam. "Autonomous Landing of Micro Unmanned Aerial Vehicles with Landing-Assistive Platform and Robust Spherical Object Detection." Applied Sciences 11, no. 18 (2021): 8555. http://dx.doi.org/10.3390/app11188555.

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Autonomous unmanned aerial vehicle (UAV) landing can be useful in multiple applications. Precise landing is a difficult task because of the significant navigation errors of the global positioning system (GPS). To overcome these errors and to realize precise landing control, various sensors have been installed on UAVs. However, this approach can be challenging for micro UAVs (MAVs) because strong thrust forces are required to carry multiple sensors. In this study, a new autonomous MAV landing system is proposed, in which a landing platform actively assists vehicle landing. In addition to the vi

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Kurmi, Indrajit, David C. Schedl, and Oliver Bimber. "Thermal Airborne Optical Sectioning." Remote Sensing 11, no. 14 (2019): 1668. http://dx.doi.org/10.3390/rs11141668.

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We apply a multi-spectral (RGB and thermal) camera drone for synthetic aperture imaging to computationally remove occluding vegetation for revealing hidden objects, as required in archeology, search-and-rescue, animal inspection, and border control applications. The radiated heat signal of strongly occluded targets, such as a human bodies hidden in dense shrub, can be made visible by integrating multiple thermal recordings from slightly different perspectives, while being entirely invisible in RGB recordings or unidentifiable in single thermal images. We collect bits of heat radiation through

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Vautherin, Jonas, Simon Rutishauser, Klaus Schneider-Zapp, et al. "PHOTOGRAMMETRIC ACCURACY AND MODELING OF ROLLING SHUTTER CAMERAS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (June 3, 2016): 139–46. http://dx.doi.org/10.5194/isprsannals-iii-3-139-2016.

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Unmanned aerial vehicles (UAVs) are becoming increasingly popular in professional mapping for stockpile analysis, construction site monitoring, and many other applications. Due to their robustness and competitive pricing, consumer UAVs are used more and more for these applications, but they are usually equipped with rolling shutter cameras. This is a significant obstacle when it comes to extracting high accuracy measurements using available photogrammetry software packages. In this paper, we evaluate the impact of the rolling shutter cameras of typical consumer UAVs on the accuracy of a 3D rec

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Vautherin, Jonas, Simon Rutishauser, Klaus Schneider-Zapp, et al. "PHOTOGRAMMETRIC ACCURACY AND MODELING OF ROLLING SHUTTER CAMERAS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (June 3, 2016): 139–46. http://dx.doi.org/10.5194/isprs-annals-iii-3-139-2016.

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Unmanned aerial vehicles (UAVs) are becoming increasingly popular in professional mapping for stockpile analysis, construction site monitoring, and many other applications. Due to their robustness and competitive pricing, consumer UAVs are used more and more for these applications, but they are usually equipped with rolling shutter cameras. This is a significant obstacle when it comes to extracting high accuracy measurements using available photogrammetry software packages. In this paper, we evaluate the impact of the rolling shutter cameras of typical consumer UAVs on the accuracy of a 3D rec

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Dike, Happiness Ugochi, and Yimin Zhou. "A Robust Quadruplet and Faster Region-Based CNN for UAV Video-Based Multiple Object Tracking in Crowded Environment." Electronics 10, no. 7 (2021): 795. http://dx.doi.org/10.3390/electronics10070795.

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Multiple object tracking (MOT) from unmanned aerial vehicle (UAV) videos has faced several challenges such as motion capture and appearance, clustering, object variation, high altitudes, and abrupt motion. Consequently, the volume of objects captured by the UAV is usually quite small, and the target object appearance information is not always reliable. To solve these issues, a new technique is presented to track objects based on a deep learning technique that attains state-of-the-art performance on standard datasets, such as Stanford Drone and Unmanned Aerial Vehicle Benchmark: Object Detectio

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Yu, Jae Jin, Dong Woo Kim, Eun Jung Lee, and Seung Woo Son. "Determining the Optimal Number of Ground Control Points for Varying Study Sites through Accuracy Evaluation of Unmanned Aerial System-Based 3D Point Clouds and Digital Surface Models." Drones 4, no. 3 (2020): 49. http://dx.doi.org/10.3390/drones4030049.

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The rapid development of drone technologies, such as unmanned aerial systems (UASs) and unmanned aerial vehicles (UAVs), has led to the widespread application of three-dimensional (3D) point clouds and digital surface models (DSMs). Due to the number of UAS technology applications across many fields, studies on the verification of the accuracy of image processing results have increased. In previous studies, the optimal number of ground control points (GCPs) was determined for a specific area of a study site by increasing or decreasing the amount of GCPs. However, these studies were mainly cond

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Yeom, Seokwon. "Moving People Tracking and False Track Removing with Infrared Thermal Imaging by a Multirotor." Drones 5, no. 3 (2021): 65. http://dx.doi.org/10.3390/drones5030065.

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Infrared (IR) thermal imaging can detect the warm temperature of the human body regardless of the light conditions, thus small drones equipped with the IR thermal camera can be utilized to recognize human activity for smart surveillance, road safety, and search and rescue missions. However, the unpredictable motion of the drone poses more challenges than a fixed camera. This paper addresses the detection and tracking of people through IR thermal video captured by a multirotor. For object detection, each frame is first registered with a reference frame to compensate for its coordinates. Then, t

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Bhatia, Jyoti, Aveen Dayal, Ajit Jha, et al. "Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars." Electronics 10, no. 16 (2021): 1965. http://dx.doi.org/10.3390/electronics10161965.

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Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the range and velocity of targets in their field of view (FoV). The targeted angle of arrival (AoA) estimation can be improved by increasing receiving antennas or by using multiple-input multiple-output (MIMO). However, obtaining target features such as target type remains challenging. In this paper, we present a novel target classification method based on machine learning and features extracted from a range fast Fourier transform (FFT) profile by using mmWave FMCW radars operating in the frequency ran

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Arokiasami, Willson Amalraj, Prahlad Vadakkepat, Kay Chen Tan, and Dipti Srinivasan. "Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework." Unmanned Systems 06, no. 04 (2018): 231–50. http://dx.doi.org/10.1142/s2301385018500061.

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Autonomous unmanned vehicles are preferable in patrolling, surveillance and, search and rescue missions. Multi-agent architectures are commonly used for autonomous control of unmanned vehicles. Existing multi-robot architectures for unmanned aerial and ground robots are generally mission and platform oriented. Collision avoidance, path-planning and tracking are some of the fundamental requirements for autonomous operation of unmanned robots. Though aerial and ground vehicles operate differently, the algorithms for obstacle avoidance, path-planning and path-tracking can be generalized. Service

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Mahdi, Abdullah Jameel, Wamidh Jalil Mazher, and Osman Nuri Ucan. "Impact of pointing error on SISO/MISO drones swarm-based free space optical system in weak turbulence regime." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 918. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp918-926.

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<p>Applying the drone-based free space optical (FSO) technology is recent in communication systems. The FSO technology hashigh-security features dueto narrow beamwidth, insusceptible to interferences, free license and landline connection is not appropriate. However, these advantages face many obstacles that affect the system's performance, such as random weather conditions and misalignment. The pointing error Hpis one of the critical factors of the channel gain H. The related parameters of the Hp factor: the pointing error angles θr and the path length Z, were manipulated to extract the

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Vercelli, Monica, Luca Croce, and Teresina Mancuso. "An Economic Approach to Assess the Annual Stock in Beekeeping Farms: The Honey Bee Colony Inventory Tool." Sustainability 12, no. 21 (2020): 9258. http://dx.doi.org/10.3390/su12219258.

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For beekeepers, the beehive stock represents a fundamental means of ensuring the continuity of their activity, whether they are professionals or hobbyists. The evaluation of this asset for economic purposes requires knowledge of the rhythms and adaptations of honey bee colonies during the annual seasons. As in any breeding activity, it is necessary to establish the numerical and economic size of the species bred. Beekeepers are interested in this evaluation to monitor beehive stock. For keeping economic accounts of stock, a specific tool has been developed and proposed, here called the “Honey

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Naddaf-Sh, M.-Mahdi, SeyedSaeid Hosseini, Jing Zhang, Nicholas A. Brake, and Hassan Zargarzadeh. "Real-Time Road Crack Mapping Using an Optimized Convolutional Neural Network." Complexity 2019 (September 29, 2019): 1–17. http://dx.doi.org/10.1155/2019/2470735.

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Pavement surveying and distress mapping is completed by roadway authorities to quantify the topical and structural damage levels for strategic preventative or rehabilitative action. The failure to time the preventative or rehabilitative action and control distress propagation can lead to severe structural and financial loss of the asset requiring complete reconstruction. Continuous and computer-aided surveying measures not only can eliminate human error when analyzing, identifying, defining, and mapping pavement surface distresses, but also can provide a database of road damage patterns and th

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Sabetghadam, Bahareh, Rita Cunha, and António Pascoal. "Real-time Trajectory Generation for Multiple Drones using Bézier Curves." IFAC-PapersOnLine 53, no. 2 (2020): 9276–81. http://dx.doi.org/10.1016/j.ifacol.2020.12.2380.

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Wang, Jianan, Zhengyang Zhou, Chunyan Wang, and Jiayuan Shan. "Multiple Quadrotors Formation Flying Control Design and Experimental Verification." Unmanned Systems 07, no. 01 (2019): 47–54. http://dx.doi.org/10.1142/s2301385019400053.

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The formation control problem in multi-quadrotor systems is studied in this paper. Each quadrotor has limited access to its neighbors’ information due to communication constraint. First, the dynamics model of the quadrotor is linearized using Newton–Euler method. The distributed formation control law is then designed and the stability analysis is provided. An experimental platform is built with three Parrot Bebop drones and an indoor motion capture system. Numerical and experimental results are provided to show the effectiveness of the proposed algorithms.

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Gregorio, Marianna Di, Marco Romano, Monica Sebillo, Giuliana Vitiello, and Angela Vozella. "Improving Human Ground Control Performance in Unmanned Aerial Systems." Future Internet 13, no. 8 (2021): 188. http://dx.doi.org/10.3390/fi13080188.

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The use of Unmanned Aerial Systems, commonly called drones, is growing enormously today. Applications that can benefit from the use of fleets of drones and a related human–machine interface are emerging to ensure better performance and reliability. In particular, a fleet of drones can become a valuable tool for monitoring a wide area and transmitting relevant information to the ground control station. We present a human–machine interface for a Ground Control Station used to remotely operate a fleet of drones, in a collaborative setting, by a team of multiple operators. In such a collaborative

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Hashimoto, Naohisa, Simon Thompson, Shin Kato, Ali Boyali, and Sadayuki Tsugawa. "Necessity of Automated Vehicle Control Customization: Experimental Results during Lane Changing." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 22 (2018): 1–9. http://dx.doi.org/10.1177/0361198118775871.

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This study investigated the necessity of automated vehicle control customization for individual drivers via a lane-changing experiment involving 35 subjects and an automated minivan. The experiment consisted of two automated driving conditions: one in which the subject was unable to override vehicle controls, the other with the option to override when the subject felt it was necessary. The automated vehicle drove at a speed of 40 km/h along three kinds of planned paths for lane changing, generated by Bezier curves; the distance required for lane changing was varied to obtain the preferred path

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Shawky, Negm Eldin Mohamed. "Accuracy Enhancement of GPS for Tracking Multiple Drones Based on MCMC Particle Filter." International Journal of Security and Privacy in Pervasive Computing 12, no. 1 (2020): 1–16. http://dx.doi.org/10.4018/ijsppc.2020010101.

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GPS information when received from multi-unmanned aerial vehicles (UAVs), also called drones, via a ground control station can be processed for detecting and tracking estimate target position. Tracking drones based on GPS has had some issues with missed received information or received information with an error that can lead to lost tracking. The proposed algorithm, Markov chain Monte Carlo based particle filter (MCMC-PF) can be used to overcome these issues of error in received information with keeping tracks and provides continuous tracking with a higher accuracy. This is suitable for real t

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Pham, Hoang Anh, Thierry Soriano, Van Hien Ngo, and Valentin Gies. "Distributed Adaptive Neural Network Control Applied to a Formation Tracking of a Group of Low-Cost Underwater Drones in Hazardous Environments." Applied Sciences 10, no. 5 (2020): 1732. http://dx.doi.org/10.3390/app10051732.

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This paper addresses a formation tracking problem of multiple low-cost underwater drones by implementing distributed adaptive neural network control (DANNC). It is based on a leader-follower architecture to operate in hazardous environments. First, unknown parameters of underwater vehicle dynamics, which are important requirements for real-world applications, are approximated by a neural network using a radial basis function. More specifically, those parameters are only calculated by local information, which can be obtained by an on-board camera without using an external positioning system. Se

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Mentasti, Simone, and Federico Pedersini. "Controlling the Flight of a Drone and Its Camera for 3D Reconstruction of Large Objects." Sensors 19, no. 10 (2019): 2333. http://dx.doi.org/10.3390/s19102333.

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In this paper we present a simple stand-alone system performing the autonomous acquisition of multiple pictures all around large objects, i.e., objects that are too big to be photographed from any side just with a camera held by hand. In this approach, a camera carried by a drone (an off-the-shelf quadcopter) is employed to carry out the acquisition of an image sequence representing a valid dataset for the 3D reconstruction of the captured scene. Both the drone flight and the choice of the viewpoints for shooting a picture are automatically controlled by the developed application, which runs o

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Xie, Xiong, Jian Ping Tan, Heng Tuo Liu, Yun Long Liu, Wei Tan, and Zhuo Tan. "Study on Control Parameters in the Acceleration of Axial Flow Blood Pump." Applied Mechanics and Materials 128-129 (October 2011): 1031–34. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.1031.

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Based on the research of dynamic characteristics of axial flow blood pump which is drove by the large gap magnetic drive system, a serial communication between PC and AT89C51 to realize the real-time process of the blood pump acceleration is proposed. The acceleration control parameters are decided by the analysis of blood pump speed control mechanism. As a result, Previous, the previous program which is modified to change the control parameters repeatedly is saluted by building the PC model. At the same time, the control of multiple control parameters could be achieved when a program on the m

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Ignatenko, Nikita V., and Alexey N. Polikanin. "METHODS AND MEANS OF COUNTERACTION OF ACOUSTIC AND OPTICAL RECONNAISSANCE UAV." Interexpo GEO-Siberia 6, no. 1 (2020): 149–54. http://dx.doi.org/10.33764/2618-981x-2020-6-1-149-154.

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For the last few years, the ease of purchasing and using unmanned aerial vehicles (UAVs), their affordable cost has increased the demand for them both by companies and individuals. However, these devices might carry out illegal actions, starting with smuggling of illegal goods, unauthorized intelligence and computer attacks. As a result, this led to the urgency of developing effective and available countermeasures to detect and neutralize drones that perform reconnaissance of objects with confidential information. The most successful are autonomous systems for detecting and suppressing drones,

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MIRAN, JONATHAN. "‘STEALING THE WAY’ TO MECCA: WEST AFRICAN PILGRIMS AND ILLICIT RED SEA PASSAGES, 1920s–50s." Journal of African History 56, no. 3 (2015): 389–408. http://dx.doi.org/10.1017/s0021853715000304.

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AbstractWest African participation in the pilgrimage to Mecca (hajj) grew considerably throughout the first half of the twentieth century. This article examines the causes and consequences of failed British and Saudi efforts to channel, regulate, and control the trans-Sahelian flow of pilgrims and enforce a regime of mobility along the Sahel and across the Red Sea. Focusing specifically on Red Sea ‘illicit’ passages, the study recovers the rampant and often harrowing crossings of dozens of thousands of West African pilgrims from the Eritrean to the Arabian coasts. It examines multiple factors

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