AI-Assisted Drone Localization of Arbitrary Objects using Aruco Markers

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Abstract
This conference paper presents a novel approach for localizing arbitrary objects using drones and AI assisted image processing. The system utilizes aruco markers, which are small square markers that are easily identifiable by image processing algorithms, in combination with AI to accurately determine the location of the objects in real-time. The system was tested in a variety of environments and demonstrated high accuracy and robustness. The results of this research have potential applications in areas such as warehouse management, search and rescue, and precision agriculture.- Title
- AI-Assisted Drone Localization of Arbitrary Objects using Aruco Markers
- Author
- Czurkó, Dániel
- Fehér, Gábor
- Date of issue
- 2023
- Access level
- Open access
- Copyright owner
- Szerző
- Conference title
- 1st Workshop on Intelligent Infocommunication Networks, Systems and Services (WI2NS2)
- Conference place
- Budapest
- Conference date
- 2023.02.07
- Language
- en
- Page
- 13 - 17
- Subject
- object localization, object detection, AI, aruco codes, Drone
- Version
- Post print
- Identifiers
- DOI: 10.3311/WINS2023-003
- Title of the container document
- 1st Workshop on Intelligent Infocommunication Networks, Systems and Services
- ISBN, e-ISBN
- 978-963-421-902-6
- Document type
- Konferenciaközlemény
- Document genre
- Konferenciacikk
- University
- Budapest University of Technology and Economics
- Faculty
- Faculty of Electrical Engineering and Informatics