Detail publikačního výsledku

Vision-Based Autonomous UAV Tracking and Control

BARTONĚK, J.; JANOUŠEK, J.

Originální název

Vision-Based Autonomous UAV Tracking and Control

Anglický název

Vision-Based Autonomous UAV Tracking and Control

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

detection | drone | tracking | UAV

Klíčová slova v angličtině

detection | drone | tracking | UAV

Autoři

BARTONĚK, J.; JANOUŠEK, J.

Rok RIV

2026

Vydáno

01.01.2025

Nakladatel

Brno University of Technology

ISBN

9788021463202

Kniha

Proceedings II of the Conference Student Eeict

Strany od

128

Strany do

131

Strany počet

4

BibTex

@inproceedings{BUT201502,
  author="{} and Josef {Bartoněk} and  {} and Jiří {Janoušek}",
  title="Vision-Based Autonomous UAV Tracking and Control",
  booktitle="Proceedings II of the Conference Student Eeict",
  year="2025",
  pages="128--131",
  publisher="Brno University of Technology",
  doi="10.13164/eeict.2025.128",
  isbn="9788021463202"
}