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An Improvement on ArUco Marker for Pose Tracking Using Kalman Filter
2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2018This paper presents a robust but simple object pose tracking algorithm based on Kalman filtering. Compared to markerless pose tracking, a fiducial marker called ArUco provides a fast and accurate solution to the problem. With these advantages, this marker-based technique is ready to be used in virtual reality and operate in low-cost wearable devices ...
Ho Chuen Kam, Ying Kin Yu, Kin Hong Wong
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Autonomous flying with quadrocopter using fuzzy control and ArUco markers
Intelligent Service Robotics, 2017In this paper, we present an approach which enables a low-cost quadrocopter to fly various trajectories autonomously. Artificial landmarks are used for pose estimation, and a fuzzy controller is utilized to generate steering commands. The presented system can navigate a low-cost quadrocopter along a predefined path without the need for any additional ...
Ján Bacík +3 more
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ArUco Code-Based Calibration Method for LiDAR and Camera Integration
2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA)Shaohui Chen +4 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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Aruco-LOAM：Integration of Aruco and LEGO-LOAM for SLAM of Autonomous Forklifts
With the development of industrial automation and intelligent logistics, the application of unmanned forklifts in warehousing and production environments has become increasingly widespread. However, the decline in positioning accuracy and the problem of drift seriously affect their stability and safety.Junjie Xiao +4 more
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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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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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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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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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An ArUco-based Grasping Point Detection System
2023 12th International Conference on Awareness Science and Technology (iCAST), 2023Wen-Chang Cheng +3 more
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