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Organization of a Safe Unmanned Aerial Vehicle Landing Using Computer Vision in Conditions of Potential Input Visual Information Distortion
Iuliia V. Kim;Ilya I. Viksnin;Irina A. Kaisina;Ruslan I. Gataullin;Evgenii A. Neverov
2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS)
Year: 2022 | Conference Paper |
The paper presents a computer vision system for safe landing of an unmanned aerial vehicle in the situation of possible input visual information distortions. An algorithm for image preprocessing was developed, consisting of increasing contrast by equalizing the intensity histogram, followed by applying a Gaussian filter to remove extra noise. The landing platform has two states: open and closed. F...Show More
Real-Time Video Streaming with Application Layer ARQ in UAV Networks: Field Tests
Albert Abilov;Andrei Chunaev;Mohammed Amin Lamri;Irina Kaisina
2021 44th International Conference on Telecommunications and Signal Processing (TSP)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In this paper, we analyze a cross-layer technique to improve the Quality of Service (QoS) of video streaming with Application Layer Automatic Repeat Request (AL-ARQ) in ad hoc networks composed of Unmanned Aerial Vehicles (UAVs). The technique proposed is designed to cope with burst error and transmission error that occur because of network collision or network interference. We validate our analys...Show More
Computer Vision System for Landing Platform State Assessment Onboard of Unmanned Aerial Vehicle in Case of Input Visual Information Distortion
2021 29th Conference of Open Innovations Association (FRUCT)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
The paper describes a computer vision system for organizing a safe landing of an unmanned aerial vehicle in conditions of potential distortions of the input video information. A sequence of methods for image preprocessing was proposed. Firstly, it is necessary to conduct a contrast enhancement using histogram equalization. After that, a Gaussian filter should be applied to remove an extra noise. N...Show More
NS-3 Simulation of Poisson-Pareto Burst Process in Multi-Source FANET Scenario with Network Coding
Irina A. Kaisina;Danil S. Vasiliev;Albert V. Abilov;Alexey E. Kaisin;Daniil D. Meitis;Anatoli I. Nistyuk
2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
This paper considers the Poisson Pareto Burst Process as a traffic model for describing data streaming process from the flying node to the ground station. The flying node is the gateway of flying ad hoc network (FANET) that consists of several unmanned aerial vehicles (UAVs). Two scenarios are considered in the paper: in the first scenario, the gateway node in the form of a UAV transmits data from...Show More
Simulation-based Research of BATS Code Applied to Flying Ad-hoc Networks
Daniil S. Meitis;Danil S. Vasiliev;Irina Kaisina;Albert Abilov
2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)
Year: 2020 | Conference Paper |
This article considers BATS code, its implementation in ns-3 network simulator, an analysis of decoding performance and a reasoning of its application in Flying Ad-hoc Networks. BATS is a perspective type of code combining random linear network coding and fountains. BATS is reported to be high efficient in case of unreliable connections. One of the possible applications is disaster preparedness, m...Show More
Analysis Methods for Improving Quality of Service Metrics in Flying Ad Hoc Networks
Irina A. Kaisina;Albert V. Abilov;Andrei V. Chunaev;M. Aiman Al Akkad;Vladimir V. Khvorenkov
2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
This paper discusses some methods that can be used to improve the quality of service (QoS) metrics for a single source flying ad hoc networks (FANETs). Three scenarios are considered that differ in the presence or absence of one or more relay nodes. For the first scenario, the AL-ARQ method is used to retransmit lost data at the application level of the OSI model, for the second and third scenario...Show More
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