Results 31 to 40 of about 571 (167)
Experimental Evaluation of the Effectiveness of Using Visual Cues for Controlling Unmanned Vehicles
Purpose. The study aims to experimentally evaluate the effectiveness of using visual cues, namely ARToolKitPlus, ArUco markers and two-dimensional QR (quick response code) codes in the tasks of localizing unmanned vehicles (UVs) indoors. Methodology.
Y. D. Ostapets
doaj +1 more source
Development of a comprehensive approach for precise positioning and orientation of multiple mobile robots in a specified formation using computer vision and the internet of things [PDF]
The integration of Internet of Things (IoT) technologies into Multi- Robot Systems (MRS) has marked a significant advancement in the field of robotics and has opened up new avenues for innovation in robotics applications.
Soni Sneh +4 more
doaj +1 more source
Among the several usages of unmanned aerial vehicles (UAVs), a wireless relay system is one of the most promising applications. Specifically, a small fixed-wing UAV is suitable to establish the system promptly.
Kanya Hirai, Masazumi Ueba
doaj +1 more source
Hybrid Indoor Localization Using IMU Sensors and Smartphone Camera
Smartphone camera or inertial measurement unit (IMU) sensor-based systems can be independently used to provide accurate indoor positioning results. However, the accuracy of an IMU-based localization system depends on the magnitude of sensor errors that ...
Alwin Poulose, Dong Seog Han
doaj +1 more source
Modelling of a Vibration Robot Using Localization Ground Truth Assisted by ArUCo Markers
Simulators have been increasingly used on development and tests on several areas. They allow to speed up the development without damage and no extra costs. On realistic simulators, where kinematics play an important role, the modelling process should be imported for each component to be accurately simulated.
Diogo Matos +6 more
openaire +2 more sources
Mobile robot localization in industrial environments using a ring of cameras and ArUco markers
Localization of mobile robots in industrial environments is key in an increasingly automated industry. Nowadays, the inspection and repair of heavy steel plates is performed by human workers. Repair work often requires long hours in uncomfortable postures that can cause problems for the worker.
Sara Roos-Hoefgeest Toribio +2 more
openaire +2 more sources
Aruco markers are crucial for navigation in complex indoor environments, especially for those with visual impairments. Traditional CNNs handle image segmentation well, but transformers excel at capturing long-range dependencies, essential for machine ...
Liliek Triyono +3 more
doaj +1 more source
Collaborative Visual Localization for Modular Self‐Reconfigurable Robots
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang +4 more
wiley +1 more source
Democratising Multi‐Projector Displays
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley +1 more source
Investigation of ArUco Marker Placement for Planar Indoor Localization
Indoor localization of autonomous mobile robots (AMRs) can be realized with fiducial markers. Such systems require only a simple, monocular camera as sensor and fiducial markers as passive, identifiable position references that can be printed on a piece of paper and distributed in the area of interest.
Sven Hinderer +2 more
openaire +2 more sources

