Please use this identifier to cite or link to this item:
Title: The Impact of Convergence Cameras in a Stereoscopic System for AUVs
Authors: Aguiar,J
Andry Maykol Pinto
Nuno Cruz
Aníbal Matos
Issue Date: 2016
Abstract: Underwater imaging is being increasingly helpful for the autonomous robots to reconstruct and map the marine environments which is fundamental for searching for pipelines or wreckages in depth waters. In this context, the accuracy of the information obtained from the environment is of extremely importance. This work presents a study about the accuracy of a reconfigurable stereo vision system while determining a dense disparity estimation for underwater imaging. The idea is to explore the advantage of this kind of system for underwater autonomous vehicles (AUV) since varying parameters like the baseline and the pose of the cameras make possible to extract accurate 3D information at different distances between the AUV and the scene. Therefore, the impact of these parameters is analyzed using a metric error of the point cloud acquired by a stereoscopic system. Furthermore, results obtained directly from an underwater environment proved that a reconfigurable stereo system can have some advantages for autonomous vehicles since, in some trials, the error was reduced by 0.05m for distances between 1.125 and 2.675 m.
metadata.dc.type: conferenceObject
Appears in Collections:CRAS - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-00K-P97.pdf1.97 MBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.