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A Drone’s 3D Localization and Load Mapping Based on QR Codes for Load Management

Authors :
Tae-Won Kang
Jin-Woo Jung
Source :
Drones, Vol 8, Iss 4, p 130 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The ongoing expansion of the Fourth Industrial Revolution has led to a diversification of drone applications. Among them, this paper focuses on the critical technology required for load management using drones. Generally, when using autonomous drones, global positioning system (GPS) receivers attached to the drones are used to determine the drone’s position. However, GPS integrated into commercially available drones have an error margin on the order of several meters. This paper, proposes a method that uses fixed-size quick response (QR) codes to maintain the error of drone 3D localization within a specific range and enable accurate mapping. In the drone’s 3D localization experiment, the errors were maintained within a specific range, with average errors ranging from approximately 0 to 3 cm, showing minimal differences. During the mapping experiment, the average error between the actual and estimated positions of the QR codes was consistently around 0 to 3 cm.

Details

Language :
English
ISSN :
2504446X
Volume :
8
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Drones
Publication Type :
Academic Journal
Accession number :
edsdoj.f999c444f6cd45bfb212e4b1ea60a2a3
Document Type :
article
Full Text :
https://doi.org/10.3390/drones8040130