Results 141 to 150 of about 1,847 (173)

Technological Advancements in Augmented, Mixed, and Virtual Reality Technologies for Surgery: A Systematic Review. [PDF]

Cureus
Sang AY, Wang X, Paxton L.
europepmc   +1 more source

From Pixels to Precision: A Survey of Monocular Visual Odometry in Digital Twin Applications. [PDF]

Sensors (Basel)
Neyestani A, Picariello F, Ahmed I, Daponte P, De Vito L.   +4 more
europepmc   +1 more source

Diabetic retinopathy detection using Bilayered Neural Network classification model with resubstitution validation. [PDF]

MethodsX
Omer HK.
europepmc   +1 more source

A novel navigation assistant method for substation inspection robot based on multisensory information fusion. [PDF]

J Adv Res
Yang Q, Dong J, Tan M, Wang J, Guo D, Kang H, Wang P.   +6 more
europepmc   +1 more source

RC-SLAM: Road Constrained Stereo Visual SLAM System Based on Graph Optimization. [PDF]

Sensors (Basel)
Zhu Y, An H, Wang H, Xu R, Wu M, Lu K.
europepmc   +1 more source

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Assessment of Map Construction in vSLAM

2021 International Siberian Conference on Control and Communications (SIBCON), 2021
Vision-based Simultaneous Localization and Mapping (vSLAM) is a challenging task in modern computer vision. vSLAM is particularly important as mobile robotics application. It allows to localize the robot and build the map of unknown environment in 3D in real-time.
Andrey Bokovoy, Kirill Muraviev
openaire   +1 more source

VSLAM based on instance segmentation

2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020
In recent years, visual SLAM algorithms have achieved impressive results, but most visual SLAM algorithms still operate based on the assumption that the observed environment is static. When facing a moving object, it may affect the robustness of the entire system.
Yi Zhang, Feng Zhang
openaire   +1 more source

A computationally efficient EKF-vSLAM

2008 16th Mediterranean Conference on Control and Automation, 2008
This paper presents an efficient extended Kalman filter implementation of a single-camera visual simulataneous localization and mapping (vSLAM) algorithm, vSLAM is a novel algorithm for simultaneous localization and mapping problem widely studied in mobile robotics field. The algorithm is vision and odometry-based.
Souici A. Krim, Ould Ali A. Elaziz, Raja Chatila   +2 more
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3D mapping based VSLAM for UAVs

2012 20th Mediterranean Conference on Control & Automation (MED), 2012
This paper addresses 3D texture mapping in Visual Simultaneous Localization And Mapping (VSLAM) for Unmanned Aerial Vehicle (UAV) applications. Landmark selection strategy based on feature detection methods such as Scale Invariant Feature Transform (SIFT) and Speed Up Robust Features (SURF) is adopted.
Xiaodong Li, Nabil Aouf, Abdelkrim Nemra
openaire   +1 more source