UAV security situation awareness method based on semantic analysis

Gao, Xijun; Jia, Hongxia; Chen, Zili; Yuan, Guogang; Yang, Sen

doi:10.1109/icpics50287.2020.9201954

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…e results of the work summarize possible anti-UAV defense means and evaluate their potential defense potential. e article [15] proposes a warning technique in case a possible EMI appears near the UAV, which is based on semantic analysis. e data source for semantic analysis is collected based on the subtle changes of the UAV state parameters during the EMI interference process.…”

Section: Brief Review Of Related Scientific Workmentioning

confidence: 99%

UAVs Protection and Countermeasures in a Complex Electromagnetic Environment

et al. 2022

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The study considers the problem of ensuring electromagnetic compatibility of EMI-based functional destruction means with other radioelectronic equipment as part of a complex for countering unmanned aerial vehicles. To solve this problem, it is proposed to create a methodology that combines a set of diverse approaches and methods. This study focuses on the use of hollow and thin passive conductors, the use of a magnetodielectric in a reflection symmetric modal filter, the use of reflection symmetric structures for decomposing the train of ultrashort pulses (USP), and the use of a meander line as a protective means against USPs. The main results that are expected to be obtained using the proposed approaches and methods are outlined.

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Section: Brief Review Of Related Scientific Workmentioning

confidence: 99%

UAVs Protection and Countermeasures in a Complex Electromagnetic Environment

et al. 2022

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“…UAV applications take place in several areas, ranging from civil and military activities, such as surveillance operations, environmental monitoring, aerial survey, and cargo transportation. Particularly, the application in agricultural monitoring and precision agriculture stands out [11,12,14,15,28,31,32].…”

Section: Introductionmentioning

confidence: 99%

Data Selection for Training the Neural Fuser Applied to Autonomous UAV Navigation

Neto

Velho

Shiguemori

2023

TCAM

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Over the past few years, there has been a steady increase in the use of aircraft vehicles, in particular unmanned aerial vehicles (UAV). UAV navigation is generally controlled by a human pilot. But the challenge for the scientific community is to carry out autonomous navigation. Some solutions have been proposed for the UAV autonomous navigation. Studies indicate as a solution to use data fusion and/or image processing navigation. Kalman Filter (KF) can be employed as a data fuser, but the KF has disadvantages. An alternative to the KF is based on artificial intelligence. Here, the KF is replaced by a self-configured neural network. This work investigates a way to select data for training the neural fuser, based on crossvalidation techniques. The results are compared to the data fusion done by a KF.

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Intelligent Optimization Methods for Unmanned Cluster Delivery Support Task Allocation

Li,

He,

et al. 2024

Communications in Computer and Information Science

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UAV security situation awareness method based on semantic analysis

Cited by 10 publications

References 8 publications

UAVs Protection and Countermeasures in a Complex Electromagnetic Environment

UAVs Protection and Countermeasures in a Complex Electromagnetic Environment

Data Selection for Training the Neural Fuser Applied to Autonomous UAV Navigation

Intelligent Optimization Methods for Unmanned Cluster Delivery Support Task Allocation

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