Vision-Based Autonomous UAV Tracking and Control
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0201502" target="_blank" >RIV/00216305:26220/26:0201502 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.13164/eeict.2025.128" target="_blank" >http://dx.doi.org/10.13164/eeict.2025.128</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/eeict.2025.128" target="_blank" >10.13164/eeict.2025.128</a>
Alternative languages
Result language
angličtina
Original language name
Vision-Based Autonomous UAV Tracking and Control
Original language description
This paper presents a vision-based control approach for unmanned aerial vehicles (UAVs), focusing on the detection and tracking of airborne objects. The proposed system integrates deep-learning-based object detection using YOLO models with computationally efficient tracking algorithms to ensure realtime performance. The control methodology involves extracting positional information from visual data and generating attitude commands to regulate UAV movement via MAVLink communication. The implementation is optimized for deployment on a Raspberry Pi 5, leveraging OpenCV and NCNN frameworks. Experimental results demonstrate the system’s capability to detect and track small UAVs while maintaining high frame rates, enabling reliable feedback-based flight adjustments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings II of the Conference Student Eeict
ISBN
9788021463202
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
128-131
Publisher name
Brno University of Technology
Place of publication
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Event location
Brno
Event date
Apr 29, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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