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Prototype of Image Preprocessing and Analysis System Supporting UAV Camera Guidance

Voytenko, Volodymyr LU orcid ; Yarmolenko, Liubomyr ; Solodchuk, Maksym and Denisov, Yuriy (2026) The 20th ISP Conference "Mathematical Modeling and Simulation Systems" In Lecture Notes in Networks and Systems
Abstract
This work presents the architecture of a prototype software system for image preprocessing and analysis designed to support the guidance of an auxiliary UAV camera. The study begins with an overview of typical UAV onboard elec-tronics, highlighting the electro-optical equipment, which includes a navigation camera and an auxiliary camera with a narrower field of view. Automatic image analysis from the navigation camera enables the detection of potential areas of in-terest and directs the auxiliary camera accordingly. The magnified image from the auxiliary camera facilitates decision-making and enhances the performance of the UAV pilot-operator during extended missions.
Various object detection models are reviewed, and a single-stage... (More)
This work presents the architecture of a prototype software system for image preprocessing and analysis designed to support the guidance of an auxiliary UAV camera. The study begins with an overview of typical UAV onboard elec-tronics, highlighting the electro-optical equipment, which includes a navigation camera and an auxiliary camera with a narrower field of view. Automatic image analysis from the navigation camera enables the detection of potential areas of in-terest and directs the auxiliary camera accordingly. The magnified image from the auxiliary camera facilitates decision-making and enhances the performance of the UAV pilot-operator during extended missions.
Various object detection models are reviewed, and a single-stage YOLO ar-chitecture is selected as the most suitable for the task. Building on previous re-sults, where physical alignment of the auxiliary camera with the center of the nav-igation camera’s frame was implemented in MATLAB/Simulink, additional sys-tem components have been developed in the same environment. These compo-nents perform image preprocessing, object localization and classification, and de-termine the target zone number for positioning the auxiliary camera.
The prototype system, developed in a mixed software-hardware environment, allows rapid modification and testing of individual modules. Furthermore, using MATLAB’s built-in code generation and deployment tools, the software can be adapted for UAV onboard computers using high-level programming languages such as C++ or Python.
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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
keywords
Unmanned Aerial Vehicle (UAV), MATLAB, Simulink, Object Detector, YOLO Model, Motion Control
host publication
The 20th ISP conference Mathematical Modeling and Simulation Systems : MODS2025 - MODS2025
series title
Lecture Notes in Networks and Systems
pages
14 pages
publisher
Springer
conference name
The 20th ISP Conference "Mathematical Modeling and Simulation Systems"
conference location
Chernihiv, Ukraine
conference dates
2025-11-10 - 2025-11-12
project
Image Pre-processing and Object Detecting UAV System
language
English
LU publication?
yes
id
ea64e43b-9fac-47e1-9cda-f827fa5efb90
date added to LUP
2025-12-15 14:36:08
date last changed
2026-01-15 12:56:57
@inbook{ea64e43b-9fac-47e1-9cda-f827fa5efb90,
  abstract     = {{This work presents the architecture of a prototype software system for image preprocessing and analysis designed to support the guidance of an auxiliary UAV camera. The study begins with an overview of typical UAV onboard elec-tronics, highlighting the electro-optical equipment, which includes a navigation camera and an auxiliary camera with a narrower field of view. Automatic image analysis from the navigation camera enables the detection of potential areas of in-terest and directs the auxiliary camera accordingly. The magnified image from the auxiliary camera facilitates decision-making and enhances the performance of the UAV pilot-operator during extended missions.<br/>Various object detection models are reviewed, and a single-stage YOLO ar-chitecture is selected as the most suitable for the task. Building on previous re-sults, where physical alignment of the auxiliary camera with the center of the nav-igation camera’s frame was implemented in MATLAB/Simulink, additional sys-tem components have been developed in the same environment. These compo-nents perform image preprocessing, object localization and classification, and de-termine the target zone number for positioning the auxiliary camera.<br/>The prototype system, developed in a mixed software-hardware environment, allows rapid modification and testing of individual modules. Furthermore, using MATLAB’s built-in code generation and deployment tools, the software can be adapted for UAV onboard computers using high-level programming languages such as C++ or Python.<br/>}},
  author       = {{Voytenko, Volodymyr and Yarmolenko, Liubomyr and Solodchuk, Maksym and Denisov, Yuriy}},
  booktitle    = {{The 20th ISP conference Mathematical Modeling and Simulation Systems : MODS2025}},
  keywords     = {{Unmanned Aerial Vehicle (UAV); MATLAB; Simulink; Object Detector; YOLO Model; Motion Control}},
  language     = {{eng}},
  publisher    = {{Springer}},
  series       = {{Lecture Notes in Networks and Systems}},
  title        = {{Prototype of Image Preprocessing and Analysis System Supporting UAV Camera Guidance}},
  year         = {{2026}},
}