Results 1 to 10 of about 296 (144)

Vision-Based Automated Recognition and 3D Localization Framework for Tower Cranes Using Far-Field Cameras [PDF]

Sensors, 2023
Tower cranes can cover most of the area of a construction site, which brings significant safety risks, including potential collisions with other entities.
Jiyao Wang, Qilin Zhang, Bin Yang, Binghan Zhang   +3 more
doaj   +2 more sources

Active thermo-reflectometry for absolute temperature measurement by infrared thermography on specular materials [PDF]

Scientific Reports, 2022
Knowledge of material emissivity maps and their true temperatures is of great interest for contactless process monitoring and control with infrared cameras when strong heat transfer and temperature change are involved. This approach is always followed by
Thomas Lafargue-Tallet, Romain Vaucelle, Cyril Caliot, Abderezak Aouali, Emmanuelle Abisset-Chavanne, Alain Sommier, Raymond Peiffer, Christophe Pradere   +7 more
doaj   +2 more sources

Automated Real‐Time Detection and Prediction of Interlayer Imperfections in Additive Manufacturing Processes Using Artificial Intelligence

Advanced Intelligent Systems, 2020
Although fused deposition modeling (FDM) additive manufacturing technologies have advanced in the past decade, interlayer imperfections such as delamination and warping are still dominant when printing complex parts.
Zeqing Jin, Zhizhou Zhang, Grace X. Gu
doaj   +2 more sources

AUTOMATIC CAMERA ORIENTATION AND STRUCTURE RECOVERY WITH SAMANTHA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
SAMANTHA is a software capable of computing camera orientation and structure recovery from a sparse block of casual images without human intervention. It can process both calibrated images or uncalibrated, in which case an autocalibration routine is run.
R. Gherardi, R. Toldo, V. Garro, A. Fusiello   +3 more
doaj   +2 more sources

Robust retrospective motion correction of head motion using navigator‐based and markerless motion tracking techniques

Magnetic Resonance in Medicine, Volume 90, Issue 4, Page 1297-1315, October 2023., 2023
Purpose This study investigated the artifacts arising from different types of head motion in brain MR images and how well these artifacts can be compensated using retrospective correction based on two different motion‐tracking techniques. Methods MPRAGE images were acquired using a 3 T MR scanner on a cohort of nine healthy participants. Subjects moved
Elisa Marchetto, Kevin Murphy, Stefan L. Glimberg, Daniel Gallichan   +3 more
wiley   +1 more source

MR‐zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2‐induced blurring in spin echo sequences

Magnetic Resonance in Medicine, Volume 90, Issue 4, Page 1345-1362, October 2023., 2023
Purpose An end‐to‐end differentiable 2D Bloch simulation is used to reduce T2 induced blurring in single‐shot turbo spin echo sequences, also called rapid imaging with refocused echoes (RARE) sequences, by using a joint optimization of refocusing flip angles and a convolutional neural network.
Hoai Nam Dang, Jonathan Endres, Simon Weinmüller, Felix Glang, Alexander Loktyushin, Klaus Scheffler, Arnd Doerfler, Manuel Schmidt, Andreas Maier, Moritz Zaiss   +9 more
wiley   +1 more source

Highly Productive 3D Printing Process to Transcend Intractability in Materials and Geometries via Interactive Machine‐Learning‐Based Technique

Advanced Intelligent Systems, Volume 5, Issue 7, July 2023., 2023
Herein, a synergistic integration of unsupervised learning and reinforcement learning (RL) is demonstrated for optimization of 3D‐printing process. The variational autoencoder, a type of unsupervised learning, is utilized to detect occurrences of defects. In addition, RL with a physics‐based engineering model can maximize productivity and printability.
Yuseok Kim, Suk Hee Park
wiley   +1 more source

Deep Learning‐Assisted Automated Single Cell Electroporation Platform for Effective Genetic Manipulation of Hard‐to‐Transfect Cells

Small, Volume 18, Issue 20, May 19, 2022., 2022
In this article, the authors present a deep learning‐assisted nanofountain probe electroporation system in combination with microconfinement arrays to trap and transfect single cells. Using the combined platform, the authors demonstrate automated intracellular delivery and genetic perturbation in hard‐to‐transfect cells followed by temporal tracking of
Prithvijit Mukherjee, Cesar A. Patino, Nibir Pathak, Vincent Lemaitre, Horacio D. Espinosa   +4 more
wiley   +1 more source

Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction

Journal of Advanced Transportation, Volume 2022, Issue 1, 2022., 2022
In this study, we developed the solution of roadside LiDAR object detection using a combination of two unsupervised learning algorithms. The 3D point clouds are firstly converted into spherical coordinates and filled into the elevation‐azimuth matrix using a hash function.
Tianya Zhang, Peter J. Jin, José M. Armingol   +2 more
wiley   +1 more source

Relative Pose Estimation for RGB‐D Human Input Scans via Implicit Function Reconstruction

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
To achieve a promising performance on relative pose estimation for RGB‐D scans, a considerable overlap between two RGB‐D inputs is often required for most existing methods. However, in many practical applications for human scans, we often have to estimate the relative poses under arbitrary overlaps, which is challenging for existing methods.
Pengpeng Liu, Tao Yu, Zhi Zeng, Yebin Liu, Guixuan Zhang, Zhen Song, Ming Yan   +6 more
wiley   +1 more source