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ArUco Marker Detection under Occlusion Using Convolutional Neural Network
2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE), 2020Camera pose estimation is a significant warranty during Unmanned Aerial Vehicle (UAV) autonomous landing process. Fiducial marker system is a popular method to offer relatively precise pose information. However, square-based markers are unreliable under occlusion condition, especially when their corners are covered by unexpected disturbances.
Boxuan Li +3 more
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Feature matching and ArUco markers application in mobile eye tracking studies
2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2018This paper presents eye tracking glasses data analysis automation techniques, utilizing image processing. Two separate techniques will be described. One method is used to automate mapping of point-of-regard to a static reference image using a feature matching algorithm AKAZE.
Adam Bykowski, Szymon Kupinski
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A Practical Framework for the Development of Augmented Reality Applications by using ArUco Markers
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016The Augmented Reality (AR) is an expanding field of the Computer Graphics (CG) that merges items of the real-world environment (e.g., places, objects) with digital information (e.g., multimedia files, virtual objects) to provide users with an enhanced interactive multi-sensorial experience of the real-world that surrounding them.
AVOLA, DANILO +4 more
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Missile Pose Measurement Based on ArUco Markers
SAE Technical Paper Series<div class="section abstract"><div class="htmlview paragraph">This paper presents a monocular vision-based system for high-precision missile pose measurement using ArUco markers and Perspective-n-Point (PnP) algorithms. By deploying 6 × 6 ArUco markers on a cylindrical missile mock-up, the system establishes 3D-2D correspondences between ...
Ruiyang Wang, Chaofan Zhang
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ArUco markers pose estimation in UAV landing aid system
2019 IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace), 2019Recently, UAV usage spread to various areas of life. In many cases, UAVs carry expensive equipment onboard. Most of the aircraft damage occurs during the landing due to hard landings. To decrease the number of such situations landing aid systems are being developed.
Adam Marut +2 more
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Enhanced Localization of ArUco Markers for Autonomous Robotics: A Comparative Study
Autonomous drone technology increasingly enables their use in diverse applications, offering cost and time benefits in precision agriculture and surveillance. They are especially efficient in search and rescue and exploring hard-to-access areas. Navigating indoor settings and partially known environments poses significant challenges in autonomous ...Minervini, Alessandro +6 more
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Navigation of biped wall-climbing robots using BIM and ArUco markers
RoboticaAbstractBiped wall-climbing robots (BWCRs) serve as viable alternatives to human workers for inspection and maintenance tasks within three-dimensional (3D) curtain wall environments. However, autonomous climbing in such environments presents significant challenges, particularly related to localization and navigation.
Shichao Gu +6 more
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Accurate Autonomous UAV Landing Using Vision-Based Detection of ArUco-Marker
2020This paper presents a solution of autonomous accurate landing problem for an unmanned aerial vehicle (UAV) in the target point. The combination of two algorithms for on-image search and accurate landing on marker is presented. The UAV landing on marker includes the unit for adjustment of aerial vehicle position relative to the marker to increase the ...
Igor Lebedev +2 more
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Real-time testing of vision-based systems for AGVs with ArUco markers
2022 IEEE International Conference on Big Data (Big Data), 2022Katarzyna Filus +4 more
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Development of Wireless Surgical Knife Attachment with Proximity Indicators Using ArUco Marker
2018We have been developing a liver surgical support system. By matching the depth images of the real liver and the 3D liver model during surgery, the position of the liver, invisible blood vessels and tumors is estimated. The tip position of the surgical knife is measured by single point measurements camera using specific markers.
Masanao Koeda +4 more
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