Simulation System for Modelling UAV Visual Guidance

In modern conditions of opposition to the military aggression of the Russian Federation, a main role is assigned to the destruction of enemy UAVs, both reconnaissance and strike forces. One of the possible effective remedies for solving this task is the use of domestic attack UAVs with a modern guidance system which provides guaranteed damage to the target. The task is to create an effective automatic UAV guidance system which responds the specified criteria of accuracy with minimal material expenses. In order to create a UAV guidance system and it’s working out at analyses stages of characteristics enemies UAVs as well as development of the detection algorithm, tracking and guidance requires the processing of a large amount of visual information. Moreover, not all information can be obtained on the basis of experimental tests, due to the influence of many factors. It should be taken into account that not all information can be obtained on the basis of experimental tests due to the influence of many factors. Therefore, the article proposes the development of a complex system for the synthesis of input video information to work out the guidance system. This approach will allow for the synthesis of the necessary video data in accordance with the scenario, taking into account the characteristics of the video sensors, their placement on the UAV and the characteristics of the 3D scene.

Authors

Institutions

Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/dessert65323.2024.11122130
Citations
1
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation System for Modelling UAV Visual Guidance

Kostiantyn Dergachov, Vladyslav Bilozerskyi, Eugene Ovdiyuk, Vladyslav Dubinin et al.
1 citations
Simulation and Modeling Applications
0.33
article

Simulation System for Modelling UAV Visual Guidance

Kostiantyn Dergachov, Vladyslav Bilozerskyi, Eugene Ovdiyuk, Vladyslav Dubinin, Oleksii Hurtovyi
article en
1 citations

Abstract

In modern conditions of opposition to the military aggression of the Russian Federation, a main role is assigned to the destruction of enemy UAVs, both reconnaissance and strike forces. One of the possible effective remedies for solving this task is the use of domestic attack UAVs with a modern guidance system which provides guaranteed damage to the target. The task is to create an effective automatic UAV guidance system which responds the specified criteria of accuracy with minimal material expenses. In order to create a UAV guidance system and it’s working out at analyses stages of characteristics enemies UAVs as well as development of the detection algorithm, tracking and guidance requires the processing of a large amount of visual information. Moreover, not all information can be obtained on the basis of experimental tests, due to the influence of many factors. It should be taken into account that not all information can be obtained on the basis of experimental tests due to the influence of many factors. Therefore, the article proposes the development of a complex system for the synthesis of input video information to work out the guidance system. This approach will allow for the synthesis of the necessary video data in accordance with the scenario, taking into account the characteristics of the video sensors, their placement on the UAV and the characteristics of the 3D scene.

National Aerospace University – Kharkiv Aviation Institute (UA)
Affordable and clean energy
Openalex Percentile: Top 35%
Simulation and Modeling Applications
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simulation System for Modelling UAV Visual Guidance — Kostiantyn Dergachov, Vladyslav Bilozerskyi, et al. · (2024) | TGRS Research Map | TGRS