This is a project for object tracking using the Raspberry Pi V2 camera, Raspberry Pi 4, and the ArUco Marker Fiducial method. The goal of the project is to detect and track objects using ArUco ...
In this project, a low-cost, reliable, and high-accuracy solution is aimed to be developed using ArUco visual marker systems. The work examines the advantages and applicability of visual marker ...
Abstract: In this paper, a multi-camera positioning system for Unmanned Aerial Vehicles (UAVs) via ArUco fiducial markers is proposed. Alternatively to the commonly used Global Navigation Satellite ...
Abstract: Accurate camera pose estimation is crucial for various applications in robotics and computer vision, enabling precise navigation and interaction with the environment. This paper presents a ...
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