Comparison of gaze-to-objects mapping algorithms

Author(s):  
Oleg Špakov
Keyword(s):  
Author(s):  
Ramtin Afshar ◽  
Michael T. Goodrich ◽  
Pedro Matias ◽  
Martha C. Osegueda

Author(s):  
Erkan Cakir ◽  
Ayhan Akinturk ◽  
Alejandro Allievi

The aim of the study is to investigate VIV effects, not only on a test cylinder but also on the experimental rig being towed under water at a prescribed depth and operating speeds. For this purpose, a numerical Multi-Physics model was created using one way coupled analysis simultaneously between the Mechanical and Fluent solvers of ANSYS software package. A system coupling was developed in order to communicate force data alternately between the solvers with the help of automatic mapping algorithms within millesimal time periods of a second. Numerical investigation into the dynamic characteristics of pressure and velocity fields for turbulent viscous fluid flow along with structural responses of the system, stressed the significance of time and space scales for convergence and accuracy of our Finite Volume (FV) CFD calculations.


Author(s):  
Arvind Kumar ◽  
Vivek Kumar Sehgal ◽  
Gaurav Dhiman ◽  
S. Vimal ◽  
Ashutosh Sharma ◽  
...  

2010 ◽  
Vol 1 (4) ◽  
pp. 56-65 ◽  
Author(s):  
Nicolau Leal Werneck ◽  
Anna Helena Reali Costa

This article presents the problem of building bi-dimensional maps of environments when the sensor available is a camera used to detect edges crossing a single line of pixels and motion is restricted to a straight line along the optical axis. The position over time must be provided or assumed. Mapping algorithms for these conditions can be built with the landmark parameters estimated from sets of matched detection from multiple images. This article shows how maps that are correctly up to scale can be built without knowledge of the camera intrinsic parameters or speed during uniform motion, and how performing an inverse parameterization of the image coordinates turns the mapping problem into the fitting of line segments to a group of points. The resulting technique is a simplified form of visual SLAM that can be better suited for applications such as obstacle detection in mobile robots.


2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
B. Imielski ◽  
C. Kowaleski ◽  
M. Tamboli ◽  
M. Alhusseini ◽  
T. Baykaner ◽  
...  

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