Possible Utilization of Low Frequency Magnetic Fields in Short Range Multirotor UAV Detection System

Lipovský, Pavol; Novotňák, Jozef; Blažek, J.

doi:10.1016/j.trpro.2022.11.013

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Multirotor drones have seen continuous development over the past ten years as the need for this type of platform has grown continuously, and they are employed in a wide range of activities and fields such as inspection of large industrial installations [ 11 , 12 ], large buildings and constructions, oil and gas pipelines [ 13 , 14 ], inspection of continuous-flow machinery in quarries (to monitor temperatures in the area of high-friction pits using thermal imaging cameras), inspection of petrochemical installations (to detect cracks, fissures and leaks that may occur in pressure vessels using thermal imaging cameras [ 15 , 16 ]), etc. They can be equipped with a wide range of electromagnetic spectrum sensors [ 17 , 18 ], gamma ray sensors [ 19 ], biological sensors [ 20 , 21 , 22 ] and chemical sensors [ 23 , 24 ], which provide remote sensing functions.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems

Stamate

Pupăză

Nicolescu

et al. 2023

Sensors

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Today, there is a conspicuous upward trend for the development of unmanned aerial vehicles (UAVs), especially in the field of multirotor drones. Their advantages over fixed-wing aircrafts are that they can hover, which allows their usage in a wide range of remote surveillance applications: industrial, strategic, governmental, public and homeland security. Moreover, because the component market for this type of vehicles is in continuous growth, new concepts have emerged to improve the stability and reliability of the multicopters, but efficient solutions with reduced costs are still expected. This work is focused on hexacopter UAV tests carried out on an original platform both within laboratory and on unrestricted open areas during the start–stop manoeuvres of the motors to verify the operational parameters, hover flight, the drone stability and reliability, as well as the aerodynamics and robustness at different wind speeds. The flight parameters extracted from the sensor systems’ comprising accelerometers, gyroscopes, magnetometers, barometers, GPS antenna and EO/IR cameras were analysed, and adjustments were performed accordingly, when needed. An FEM simulation approach allowed an additional decision support platform that expanded the experiments in the virtual environment. Finally, practical conclusions were drawn to enhance the hexacopter UAV stability, reliability and manoeuvrability.

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Section: Introductionmentioning

confidence: 99%

Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems

Stamate

Pupăză

Nicolescu

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…In the context of the big data and information age, the operational environment for drones is becoming increasingly complex, particularly in low-altitude airspace below 1000 m. There are not only UAVs and static targets in this airspace but also other moving entities, such as civil aircraft and birds [3,4]. Additionally, electromagnetic and radar fields may also be present [5][6][7], posing potential threats to UAVs. The complexity of the UAV path-planning scenario translates into data complexity, with diverse data sources and organization methods.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent UAV Path-Planning Method Based on the Theory of the Three-Dimensional Subdivision of Earth Space

Sun,

Xu,

Zhang

et al. 2023

IJGI

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With the rapid development of the big data era, Unmanned Aerial Vehicles (UAVs) are being increasingly adopted for various complex environments. This has imposed new requirements for UAV path planning. How to efficiently organize, manage, and express all kinds of data in complex scenes and intelligently carry out fast and efficient path planning for UAVs are new challenges brought about by UAV application requirements. However, traditional path-planning methods lack the ability to effectively integrate and organize multivariate data in dynamic and complicated airspace environments. To address these challenges, this paper leverages the theory of the three-dimensional subdivision of earth space and proposes a novel environment-modeling approach based on airspace grids. In this approach, we carried out the grid-based modeling and storage of the UAV flight airspace environment and built a stable and intelligent deep-reinforcement-learning grid model to solve the problem of the passage cost of UAV path planning in the real world. Finally, we designed multiple sets of experiments to verify the efficiency of the global subdivision coding system as an environmental organization framework for path planning compared to a longitude–latitude system and to demonstrate the superiority of the improved deep-reinforcement-learning model in specific scenarios.

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Multi-sensory system for UAVs detection using Bayesian inference

Saadaoui,

Cheggaga,

Djabri

2023

Appl Intell

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Possible Utilization of Low Frequency Magnetic Fields in Short Range Multirotor UAV Detection System

Cited by 4 publications

References 9 publications

Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems

Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems

An Intelligent UAV Path-Planning Method Based on the Theory of the Three-Dimensional Subdivision of Earth Space

Multi-sensory system for UAVs detection using Bayesian inference

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