The traditional optical tracking system is easily affected by occlusion and a narrow field of
vision, which leads to the failure of surgical instrument tracking. To solve this problem, a …

Estimating the pose of a large set of fixed indoor cameras is a requirement for certain
applications in augmented reality, autonomous navigation, video surveillance, and logistics …

Camera pose estimation is vital in fields like robotics, medical imaging, and augmented
reality. Fiducial markers, specifically ArUco and Apriltag, are preferred for their efficiency …

Fiducial markers are a computer vision tool used for object pose estimation and detection.
These markers are highly useful in fields such as industry, medicine and logistics. However …

Robotic micromanipulation systems (RMS) enable precise and repeatable operations under
a microscope. Traditional RMS rely solely on microscopic visual feedback, necessitating …

This paper introduces the Kabsch Marker Estimation Algorithm (KMEA), a new, robust multi-
marker localization method designed for Autonomous Mobile Robots (AMRs) within Industry …

The present dissertation investigates the development and implementation of a robust
landing control system for Unmanned Aerial Vehicles (UAV), commonly known as drones …

In this study, we developed a light source position estimation system for controlling the
wireless-powered drone. An algorithm was designed to estimate the light source position by …

ARToolKit is an open source augmented reality toolkit that supports the recognition of
fiducial markers and NFT (natural feature tracking) markers. There is significant research on …