Skip to main content
  • Company
    • About Us
    • Projects
    • Startup Lab
    • AI Solutions
    • Security Expertise
    • Contact
  • Knowledge
    • Blog
    • Research
hello@horizon-dynamics.tech
Horizon Dynamics
  1. Home
  2. Research
  3. Phd dissertation uav object detection
Company
  • About Us
  • Projects
  • Startup Lab
  • AI Solutions
  • Security Expertise
  • Contact
Contact Ushello@horizon-dynamics.tech
Horizon Dynamics
© 2013 - 2026 Horizon Dynamics LLC — All rights reserved.

Right Solution For True Ideas

Publications/2023
Dissertations2023

Methods of collection, recognition and processing of images obtained using UAVs for detection of specified objects

Oleksandr Melnychenko
UAVObject DetectionDeep LearningImage ProcessingYOLO
View Publication

Abstract

This dissertation presents novel methods for collecting, recognizing, and processing images obtained using unmanned aerial vehicles (UAVs) for detecting specified objects. The research introduces modified YOLO architectures optimized for aerial imagery and proposes a self-organized automated system for UAV control.

Citation

Oleksandr Melnychenko. "Methods of collection, recognition and processing of images obtained using UAVs for detection of specified objects". null, 2023.

Related Publications

2023Conference Papers

Apple Detection with Occlusions Using Modified YOLOv5-v1

Oleksandr Melnychenko, Oleg Savenko, Pavlo Radiuk

IEEE IDAACS 2023
2023Conference Papers

A Self-Organized Automated System to Control Unmanned Aerial Vehicles for Object Detection

Oleksandr Melnychenko, Oleg Savenko

IntelITSIS 2023
2024Journal Articles

Intelligent Integrated System for Fruit Detection Using Multi-UAV Imaging and Deep Learning

Oleksandr Melnychenko, Lukasz Scislo, Oleg Savenko et al.

Sensors
All Publications