Practical Implementation of Object Tracking Function for UAV Computer Vision System
Pechorkin, Yaroslav and Voytenko, Volodymyr LU
(2025)
International Scientific and Practical Conference of Students, Postgraduates and Young Scientists
p.1021-1022
- Abstract
- The objective of this study is to develop a prototype of an electronic system based on computer vision that enhances the level of autonomy in mission execution by a UAV. Unlike a final embedded electronic system, this prototype utilizes the capabilities of a personal computer, allowing for rapid configuration of equipment, algorithm refinement, and program adjustments.
The developed system includes an image capture module, frame preprocessing, object detection using the YOLO v11 nano model, and real-time visualization of the results. This approach not only enables rapid detection of objects within the camera’s field of view but also provides a foundation for future autonomous navigation based on detected features.
As a result of... (More) - The objective of this study is to develop a prototype of an electronic system based on computer vision that enhances the level of autonomy in mission execution by a UAV. Unlike a final embedded electronic system, this prototype utilizes the capabilities of a personal computer, allowing for rapid configuration of equipment, algorithm refinement, and program adjustments.
The developed system includes an image capture module, frame preprocessing, object detection using the YOLO v11 nano model, and real-time visualization of the results. This approach not only enables rapid detection of objects within the camera’s field of view but also provides a foundation for future autonomous navigation based on detected features.
As a result of the study, it was confirmed that a computer vision system can be integrated into the UAV's onboard electronics to generate data required for autonomous flight correction or to perform other tasks. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/aa1d0446-878c-459f-a716-2b9f3c0226d9
- author
- Pechorkin, Yaroslav
and Voytenko, Volodymyr
LU
- organization
- publishing date
- 2025-06-19
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- UAV, YOLO v11, Python, Scientific Computing, OpenCV
- pages
- 2 pages
- conference name
- International Scientific and Practical Conference of Students, Postgraduates and Young Scientists
- conference location
- Chernihiv, Ukraine
- conference dates
- 2025-04-23 - 2025-04-25
- project
- Subsystem for two-coordinate positioning of the UAV auxiliary video camera
- language
- English
- LU publication?
- yes
- id
- aa1d0446-878c-459f-a716-2b9f3c0226d9
- alternative location
- https://ir.stu.cn.ua/items/7024c8b0-86f3-4ff4-baa0-3548f8c61574
- https://ir.stu.cn.ua/bitstreams/c3e6afee-58fc-4665-91e6-f0322ffce322/download
- date added to LUP
- 2025-12-16 09:52:11
- date last changed
- 2026-01-15 14:45:12
@misc{aa1d0446-878c-459f-a716-2b9f3c0226d9,
abstract = {{The objective of this study is to develop a prototype of an electronic system based on computer vision that enhances the level of autonomy in mission execution by a UAV. Unlike a final embedded electronic system, this prototype utilizes the capabilities of a personal computer, allowing for rapid configuration of equipment, algorithm refinement, and program adjustments.<br/>The developed system includes an image capture module, frame preprocessing, object detection using the YOLO v11 nano model, and real-time visualization of the results. This approach not only enables rapid detection of objects within the camera’s field of view but also provides a foundation for future autonomous navigation based on detected features.<br/>As a result of the study, it was confirmed that a computer vision system can be integrated into the UAV's onboard electronics to generate data required for autonomous flight correction or to perform other tasks.}},
author = {{Pechorkin, Yaroslav and Voytenko, Volodymyr}},
keywords = {{UAV; YOLO v11; Python, Scientific Computing; OpenCV}},
language = {{eng}},
month = {{06}},
pages = {{1021--1022}},
title = {{Practical Implementation of Object Tracking Function for UAV Computer Vision System}},
url = {{https://ir.stu.cn.ua/items/7024c8b0-86f3-4ff4-baa0-3548f8c61574}},
year = {{2025}},
}