Academic literature on the topic 'Multiple drone control'

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Journal articles on the topic "Multiple drone control"

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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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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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Dissertations / Theses on the topic "Multiple drone control"

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Kingston, Derek Bastian. "Decentralized control of multiple UAVs for perimeter and target surveillance /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2057.pdf.

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Hammond, Victor W., Ralph L. Stegall, Dana F. Gumb, and William H. Wilson. "CONTROL OF MULTIPLE TARGET DRONES USING THE AN/MPS-39 MULTIPLE OBJECT TRACKING RADAR AND VEGA TARGET CONTROL SYSTEM." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614539.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California<br>Modern aircraft testing and training increasingly demand the use of multiple targets. A novel method to meet this requirement is to use the new AN/MPS-39 Multiple Object Tracking Radar (MOTR) with Vega Target Control System equipment. The AN/MPS-39 can be loosely described as the equivalent of ten AN/FPS-16 radars. This equivalency, due largely to the AN/MPS-39’s phased array antenna, immediately suggests the controlling of multiple target drones
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Walthall, David. "Data Rate Upgrade of the DFCS Waveform." International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/608943.

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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, California<br>New tracking/control system requirements demand that the present DFCS/GRDCUS/MTACS data link bit rate be increased. A possible method for achieving this increase is to select two additional 31-bit chip code patterns that are orthogonal to the present chip codes, and to each other. This method will not require any more bandwidth than the present 10 MHZ used. This method suggest that each of the four chip code patterns are assigned a two bit valu
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Berner, Robert Andrew. "The effective use of multiple unmanned aerial vehicles in surface search and control." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FBerner.pdf.

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Sattigeri, Ramachandra Jayant. "Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16272.

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The role of vision as an additional sensing mechanism has received a lot of attention in recent years in the context of autonomous flight applications. Modern Unmanned Aerial Vehicles (UAVs) are equipped with vision sensors because of their light-weight, low-cost characteristics and also their ability to provide a rich variety of information of the environment in which the UAVs are navigating in. The problem of vision based autonomous flight is very difficult and challenging since it requires bringing together concepts from image processing and computer vision, target tracking and state estima
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Rodrigues, André Filipe Nascimento. "Control and communication in a system with multiple interconnected aerial drones." Master's thesis, 2019. http://hdl.handle.net/10773/29452.

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Flying ad-hoc networks (FANETs) that are comprised of swarms of drones have become an important field of research in the area of Information Technologies (IT). With the increase of areas where these small UAVs fit, complex mission planners are being developed in order to autonomously manage and control multiple drones that belong to distinct missions. To be able to guarantee the communication between drones, a Wireless Mesh Network (WMN) with the ability to adapt to the FANETs unstable topology changes is necessary, ensuring communications within the mesh without the aid of an external,
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Book chapters on the topic "Multiple drone control"

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Yamamoto, Noriyasu, and Noriki Uchida. "A Collaborative Safety Flight Control System for Multiple Drones: Dealing with Weak Wind by Changing Drones Formation." In Advances on P2P, Parallel, Grid, Cloud and Internet Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02607-3_36.

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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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Soto-Estrada, Engelberth, Ann Wellens, Andrés Pava-Restrepo, and Camilo Hernández Mejía. "Accuracy of UAV-Based Digital Elevation Models." In Methods and Applications of Geospatial Technology in Sustainable Urbanism. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2249-3.ch016.

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UAV photogrammetry has simplified the measurement of the terrain's surface; however, the accuracy of the method is still a matter of research as it depends on multiple factors such as the UAV employed and the decisions made by the user during information acquisition and processing. This chapter analyses the accuracy of 27 digital elevation models (DEMs) built from the data acquired with a DJI Phantom 3 drone, which was flown at different heights and trajectories in a case study in the Colombian Department of Antioquia. The statistical analysis confirmed that the use of ground control points (GCPs) is fundamental to increase the accuracy of the map products. It also showed that accuracy, understood as the comparison between the coordinates of points measured in the field (CPs) with their corresponding values estimated in the orthophotomosaics, depends on the number of CPs and their location. An insufficient number of CPs or an inadequate distribution, for instance all or most of them located in a single land cover, will cause the accuracy to be overestimated.
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Conference papers on the topic "Multiple drone control"

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Yamada, Kenshiro, Makoto Kumon, and Tomonari Furukawa. "Belief-Driven Control Policy of a Drone with Microphones for Multiple Sound Source Search." In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019. http://dx.doi.org/10.1109/iros40897.2019.8968119.

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Motooka, Riho, Takeru Katagiri, Shintaro Murayama, Junji Takahashi, Yoshito Tobe, and Ryo Nishikawa. "Distance control between multiple drones for stable communication." In 2015 IEEE Sensors. IEEE, 2015. http://dx.doi.org/10.1109/icsens.2015.7370619.

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Okutake, Tomoki, Noriki Uchida, and Noriyasu Yamamoto. "A Collaborative Safety Flight Control System for Multiple Drones." In 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS). IEEE, 2016. http://dx.doi.org/10.1109/imis.2016.128.

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Gharib, Mohamed, Leen Alnouri, Abdulrahman Alsulaiti, Ibrahim Buhendi, and Yasser Al-Hamidi. "Development of a Novel Modular Robot for Vertical Pipeline Climbing." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23163.

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Abstract Crude oil pipelines are always at risk of failing as a result of cracking or corrosion. Failing pipelines can be hazardous to personnel, damaging to the environment, and extremely costly. This makes it essential that all pipelines have a schedule of inspection and maintenance. Robots that inspect pipelines from the outside are preferable to ones that work from the inside, because they can undertake inspections without causing any disruption to production processes and can be put to work at any point of the pipeline. Nevertheless, external robots and associated machinery have several c
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Oliveira, Nicolas Souza de Melo Miranda de, Erick Menezes Moreira, and Paulo Fernando Ferreira Rosa. "Particle Swarm Optimization Algorithm Implementation for Multiple Drones Control in Continuous Task Simulation." In 2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE). IEEE, 2019. http://dx.doi.org/10.1109/lars-sbr-wre48964.2019.00070.

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Yamamoto, Noriyasu, and Noriki Uchida. "Improvement of Image Processing for a Collaborative Security Flight Control System with Multiple Drones." In 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2018. http://dx.doi.org/10.1109/waina.2018.00087.

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Rhee, Caroline, Alexander S. Miller, and William Singhose. "Operator Testing on Dual-Hoist Cranes Moving Triangular Payloads." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9882.

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Certain heavy-lifting applications require the coordinated movement of multiple cranes. Such tasks dramatically increase the complexity of crane operation, especially when the payload has a non-uniform shape. Therefore, controlling such a complex dynamic system requires skilled operators. However, even with extensive operator training, manipulating a crane with a large payload is difficult and presents serious safety hazards. This paper studies the dynamic behavior of a dual-hoist bridge crane moving triangular payloads. Test subjects used a wireless controller to move a dual-hoist crane with
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PHAM, Hoang Anh, Thierry SORIANO, and Van Hien NGO. "Applying AADL to realize embedded control systems for coordination of multiple low-cost underwater drones." In OCEANS 2019 - Marseille. IEEE, 2019. http://dx.doi.org/10.1109/oceanse.2019.8867198.

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Cacace, J., A. Finzi, V. Lippiello, M. Furci, N. Mimmo, and L. Marconi. "A control architecture for multiple drones operated via multimodal interaction in search & rescue mission." In 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). IEEE, 2016. http://dx.doi.org/10.1109/ssrr.2016.7784304.

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Fukuda, Kento, Shin Kawai, and Hajime Nobuhara. "Attitude Estimation by Kalman Filter Based on the Integration of IMU and Multiple GPSs and Its Application to Connected Drones." In 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE). IEEE, 2020. http://dx.doi.org/10.23919/sice48898.2020.9240380.

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