A low-cost autonomous mobile robot localization using artificial landmarks

Abstract views: 49 / PDF downloads: 75

Authors

Keywords:

Mobile Robot, Localization, SLAM, Artificial Landmarks, Image Processing

Abstract

In this research paper, we present a robust, cost-effective, real-time localization method designed for both indoor and outdoor applications, leveraging a straightforward artificial landmark model. This method utilizes image data from artificial landmarks captured by a standard camera and a memory map. The robot computes its position by employing two landmarks prior to movement initiation and one landmark during motion. The use of a single landmark enhances the calculation speed. To enhance location accuracy, the results are subjected to filtering using a Kalman filter. Depending on the predefined constraints, the robot can autonomously or manually chart its course and navigate along it, achieving an average positional error of 4 cm.

Downloads

Published

2024-04-23

How to Cite

ÇAYIROĞLU, İbrahim, Öztürk, A., & DEMİREL, O. (2024). A low-cost autonomous mobile robot localization using artificial landmarks. International Journal of Natural and Engineering Sciences, 18(1), 12–31. Retrieved from https://ijnes.org/index.php/ijnes/article/view/755

Issue

Section

Articles