AI-Assisted Drone Localization of Arbitrary Objects using Aruco Markers
| Czurkó, Dániel | ||
| Fehér, Gábor | ||
| 2023-03-13T16:07:04Z | ||
| 2023-03-13T16:07:04Z | ||
| 2023 | ||
AbstractThis 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. | ||
| http://hdl.handle.net/10890/40704 | ||
| en | ||
| AI-Assisted Drone Localization of Arbitrary Objects using Aruco Markers | ||
| Konferenciaközlemény | ||
| Open access | ||
| Szerző | ||
| 2023.02.07 | ||
| Budapest | ||
| 1st Workshop on Intelligent Infocommunication Networks, Systems and Services (WI2NS2) | ||
| 2023.02.07 | ||
| 978-963-421-902-6 | ||
| Budapest University of Technology and Economics | ||
| Online | ||
| 1st Workshop on Intelligent Infocommunication Networks, Systems and Services | ||
| Post print | ||
| Faculty of Electrical Engineering and Informatics | ||
| 13 | ||
| 10.3311/WINS2023-003 | ||
| 17 | ||
| object localization | ||
| object detection | ||
| AI | ||
| aruco codes | ||
| Drone | ||
| Konferenciacikk | ||
| Budapest University of Technology and Economics |
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