Sinergi
Vol. 30 No. 3 (2026)

Statistically validated comparative evaluation of fiducial markers for vision-based UAV precision landing in standardized PX4–ROS simulation

Anan Nugroho (Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang)
Muhammad Ghulamzaki (Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang)
Feddy Setio Pribadi (Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang)
Khoirudin Fathoni (Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang)
Dhidik Prastiyanto (Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang)
Mona Subagja (Directorate of Information Systems and Public Relations, Universitas Negeri Semarang)
Raihan Fa’iq Mubarak (Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang)



Article Info

Publish Date
08 Sep 2026

Abstract

UAV quadcopter technology has advanced rapidly and is widely used in both military and civilian sectors. One critical challenge is precision landing, since conventional GPS-based methods have limited accuracy (0.9–1.8 m). Fiducial marker–based landing offers a practical alternative, but cross-study comparisons remain difficult because marker types and testing procedures vary. This study presents a statistically validated comparative evaluation of five fiducial markers (ArUco, AprilTag, ARTag, WhyCode, and STag) in a standardized PX4–ROS simulation environment. Beyond performance ranking, the study analyzes how marker geometry and coding structure influence homography stability, pose-estimation noise, and landing control response. Evaluation metrics include horizontal and vertical landing errors, landing time, and detection distance, analyzed using one-way ANOVA and Tukey HSD tests. Results show significant differences in vertical error, landing time, and detection distance, indicating that geometric regularity and edge-contrast structure directly affect visual pose stability. Within the controlled simulation framework, AprilTag shows the most consistent overall performance, with mean errors of 2.99 cm (X-axis) and 5.59 cm (Y-axis) and an average landing time of 21.8 s. The main contribution is a reproducible comparative framework and an explanatory link between marker design and visual-control stability, guiding marker selection in precision UAV landing systems.

Copyrights © 2026






Journal Info

Abbrev

sinergi

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Description

SINERGI is a peer-reviewed international journal published three times a year in February, June, and October. The journal is published by Faculty of Engineering, Universitas Mercu Buana. Each publication contains articles comprising high quality theoretical and empirical original research papers, ...