Interface of Optimal Electro-Optical/Infrared for Unmanned Aerial Vehicles

Jara-Olmedo, Aníbal; Medina-Pazmiño, Wilson; Mesías, Rafael; Araujo-Villaroel, Benjamín; Aguilar, Wilbert G.; Pardo, Jorge A.

doi:10.1007/978-3-319-78605-6_32

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…As seen in references presented, there are several investigations where low-cost video surveillance systems (prototypes) are implemented in aircraft. In [ 17 ] and [ 18 ] the electro-optical sensor is presented as the tool to capture video in real time. However, in this proposal an own system based on a GO Pro camera is used.…”

Section: Tests and Experimental Resultsmentioning

confidence: 99%

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Telemetry and Video Surveillance System in a UAV for the Control and Monitoring of Long-Distance Missions

Buele

Yánez-Arcos

Moscoso

et al. 2020

Computational Science and Its Applications – ICCSA 2020

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Unmanned aerial vehicles (UAVs) are multidisciplinary technological tools, which are used in the military area for surveillance, reconnaissance and intelligence tasks in conflict zones. Due to its versatility and performance, this manuscript describes the implementation of a telemetry and video surveillance system to develop long-range missions in a UAV prototype. Communications subsystems and a ground station are integrated, with which an unmanned aerial system (UAS) is formed, carrying out the necessary calibrations and configurations. After a set of tests and the necessary adjustments, a long-distance mission is carried out and its energy consumption, height reached and trajectory tracking are analyzed. In addition, the video signal level obtained and the percentage of telemetry signal in each of the tests are established, which managed to be 90% with a distance greater than 4 km. They have good benefits, with a low economic investment, representing an interesting proposal for developing countries with a limited budget for their improvement.

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Section: Tests and Experimental Resultsmentioning

confidence: 99%

“…Previous studies showing the implementation of surveillance systems in UAVs are of great relevance, as shown in [ 17 ]. In this work an electro-optical/infrared sensor is designed, developed and adapted in a mid-range UAV, for traffic detection, surveillance and recognition.…”

Section: Introductionmentioning

confidence: 99%

Telemetry and Video Surveillance System in a UAV for the Control and Monitoring of Long-Distance Missions

Buele

Yánez-Arcos

Moscoso

et al. 2020

Computational Science and Its Applications – ICCSA 2020

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“…Electro-optical-infrared (EO/IR) systems consist of high resolution digital video cameras, thermal and scanning sensors which generate a 2D heat image of potential targets [20]. EO/IR sensors collect environmental information in the visible and infrared light spectrum, which incorporates electromagnetic radiation with wavelengths between 400 nanometres and 1 millimetre.…”

Section: Drone Detection Techniquesmentioning

confidence: 99%

Signal Processing Methods in Riemannian Geometry with Application to Drone Detection

Chahrour¹

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The number of drones manufactured by many companies, such as DJI, Parrot, and 3D-Robotics, is always on the rise. Drones are widely used for commercial purposes, such as the delivery of goods, surveying and monitoring public places. On the other hand, drones can also be used to perform terrorist attacks or can be used to transport illegal drugs. Thus, a fast and reliable drone detection technique is very much needed to allow enough time for countermeasures in critical situations. Drones are considered complex targets which can range in size from 10 m 2 to 0.01 m 2 with symmetrical shape and fluctuating radar cross section (RCS), hence low signal-to-interference-plusnoise ratio (SINR). Current radar systems with classical signal processing techniques might fail to detect drones in low SINR environments with limited number of received snapshots. Multiple-input multiple-output (MIMO) radar systems with signal processing methods in Riemannian space can be exploited to improve the probability of drone detection, enhance the robustness of the direction of arrival estimation and improve the minimum variance distortionless response beamforming by estimating the interference-plus-noise covariance matrix in Riemannian space.This dissertation utilizes uniform linear array (ULA) MIMO radar systems and proposes two Riemannian geometry-based constant false alarm rate (CFAR) detectors, a direction of arrival estimation technique based on Riemannian mean and distance, and interference-plus-noise covariance matrix estimation for beamforming in a Riemannian space. All proposed techniques exploit the regularized Burg algorithm (RBA) to convert each range bin into a Toeplitz Hermitian positive definite (THPD) matrix, which represents a point on the Riemannian manifold. Although Toeplitz structure is generated from ULA configurations, non linear array configurations would produce non-Toeplitz covariance matrices even if RBA guarantee Toeplitz structure. The proposed Riemannian-Brauer matrix (RBM) CFAR detector is based on the Riemannian distance between the Riemannian mean of the clutter-plus-noise Brauer bound and the THPD covariance matrices of the outliers. Also, the proposed First and foremost, I would to thank ALLAH, the most gracious, the most merciful and the most beneficent for all His blessings and generosity all the time. Second, I would like to thank my wife for her encouragement, support, patience and motivation. Also, I would like to thank all my family for their support, especially my daughter Reina and son Hassan.

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Landmark-Based Virtual Path Estimation for Assisted UAV FPV Tele-Operation with Augmented Reality

Grijalva

Aguilar

2019

Intelligent Robotics and Applications

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Interface of Optimal Electro-Optical/Infrared for Unmanned Aerial Vehicles

Cited by 5 publications

References 14 publications

Telemetry and Video Surveillance System in a UAV for the Control and Monitoring of Long-Distance Missions

Telemetry and Video Surveillance System in a UAV for the Control and Monitoring of Long-Distance Missions

Signal Processing Methods in Riemannian Geometry with Application to Drone Detection

Landmark-Based Virtual Path Estimation for Assisted UAV FPV Tele-Operation with Augmented Reality

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