UAV platform for special operation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198416" target="_blank" >RIV/00216305:26220/26:0198416 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_2.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/eeict.2025.241" target="_blank" >10.13164/eeict.2025.241</a>
Alternative languages
Result language
angličtina
Original language name
UAV platform for special operation
Original language description
Unmanned Aerial Vehicles (UAVs) are widely used in industrial inspection, agriculture, and security. This paper introduces a universal UAV platform designed for modular adaptability, extended flight endurance, and autonomous navigation. The hardware architecture includes a lightweight carbon fiber frame, high-efficiency propulsion, and a flexible power system, ensuring reliable performance across various missions. The software framework, built on ROS 2 middleware, enables seamless integration of SLAM-based navigation, visual odometry, and deep learning-based object detection. The UAV combines GNSS, INS, and LiDAR-based SLAM for precise localization, even in GNSS-denied environments. Equipped with multi-sensor payloads such as LiDAR, RGB-D cameras, and thermal imaging, this platform supports applications ranging from precision agriculture to infrastructure inspection, paving the way for advanced autonomous UAV operations.
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
<a href="/en/project/VJ02010036" target="_blank" >VJ02010036: An Artificial Intelligence-Controlled Robotic System for Intelligence and Reconnaissance Operations</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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 31st Conference STUDENT EEICT 2025
ISBN
978-80-214-6320-2
ISSN
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e-ISSN
2788-1334
Number of pages
6
Pages from-to
241-246
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Brno
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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