Results 71 to 80 of about 571 (167)

Sensor Fusion for Mobile Robot Localization using UWB and ArUco Markers

, 2021
Uma das principais características para considerar um robô autónomo é o facto de este ser capaz de se localizar, em tempo real, no seu ambiente, ou seja saber a sua posição e orientação. Esta é uma área desafiante que tem sido estudada por diversos investigadores em todo o mundo.
openaire   +2 more sources

Six-Degree-of-Freedom Freehand 3D Ultrasound: A Low-Cost Computer Vision-Based Approach for Orthopedic Applications

Diagnostics
In orthopedics, X-rays and computed tomography (CT) scans play pivotal roles in diagnosing and treating bone pathologies. Machine bulkiness and the emission of ionizing radiation remain the main problems associated with these techniques.
Lorenzo De Sanctis, Arianna Carnevale, Carla Antonacci, Eliodoro Faiella, Emiliano Schena, Umile Giuseppe Longo   +5 more
doaj   +1 more source

A scalable vision-based method for motion assessment of full-scale motorized hospital beds using ArUco markers

Frontiers in Mechanical Engineering
This study explores the development and performance evaluation of motorized hospital beds, which aim to alleviate the physical burden on healthcare workers and improve hospital efficiency.
Ariq Naufal Rabbani, Cheng-Wei Chen, Radon Dhelika   +2 more
doaj   +1 more source

Kabsch Marker Estimation Algorithm—A Multi-Robot Marker-Based Localization Algorithm Within the Industry 4.0 Context

IEEE Access
This paper introduces the Kabsch Marker Estimation Algorithm (KMEA), a new, robust multi-marker localization method designed for Autonomous Mobile Robots (AMRs) within Industry 4.0 (I4.0) settings.
Joao Braun, Jose Lima, Ana I. Pereira, Paulo Costa   +3 more
doaj   +1 more source

Three-Dimensional Binary Marker: A Novel Underwater Marker Applicable for Long-Term Deployment Scenarios

Journal of Marine Science and Engineering
Traditional 2D optical markers degrade quickly in underwater applications due to sediment accumulation and marine biofouling, becoming undetectable within weeks.
Alaaeddine Chaarani, Patryk Cieslak, Joan Esteba, Ivan Eichhardt, Pere Ridao   +4 more
doaj   +1 more source

Research on Autonomous Landing Method of Shipborne Uncrewed Aerial Vehicle Based on Visual Recognition

IEEE Access
To address the challenges of GPS signal failure, dynamic vessel motions, and low visual recognition confidence during shipborne UAV maritime landings, this study proposes an integrated closed-loop solution harmonizing strategy, algorithm, and hardware ...
Yang Zhang, Xin Liu, Changshi Xiao, Haiwen Yuan, Dongxu Liu, Shuwei Ren   +5 more
doaj   +1 more source

Assessment of Multiple Fiducial Marker Trackers on Hololens 2

IEEE Access
Fiducial markers play a fundamental role in various fields in which precise localization and tracking are paramount. In Augmented Reality, they provide a known reference point in the physical world so that AR systems can accurately identify, track, and ...
Gabriel M. Costa, Marcelo R. Petry, Joao G. Martins, Antonio Paulo G. M. Moreira   +3 more
doaj   +1 more source

Enhancing Pose Estimation Using Multiple Graphical Markers with Spatial and Temporal Outlier Detection

Applied Sciences
This paper presents a novel approach to enhance pose estimation accuracy and precision in mobile robotics using multiple graphical markers. While traditional single-marker methods using graphical markers such as ArUco offer simple implementation, their ...
Doyoung Kim, Jae Hwan Bong, Seongkyun Jeong   +2 more
doaj   +1 more source

Tape-Shaped, Multiscale, and Continuous-Readable Fiducial Marker for Indoor Navigation and Localization Systems

Sensors
The present study proposes a fiducial marker for location systems that uses computer vision. The marker employs a set of tape-shaped markers that facilitate their positioning in the environment, allowing continuous reading to cover the entire perimeter ...
Benedito S. R. Neto, Tiago D. O. Araújo, Bianchi S. Meiguins, Carlos G. R. Santos   +3 more
doaj   +1 more source

Multicamera-based Indoor Localization and Path Optimization for Mobile Robots Using Aruco Markers

El-Cezeri Fen ve Mühendislik Dergisi
Abstract In indoor environments where GPS signals are unavailable, determining mobile robot positions is challenging. Common methods include SLAM, marker-based localization, inertial measurement units (IMUs), and hybrid positioning systems (HPS).
Abdulhamit Sevgi, H. Erdinç Koçer
openaire   +1 more source