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Spectral registration of noisy sonar data for underwater 3D mapping

Spectral registration of noisy sonar data for underwater 3D mapping 3D mapping is very challenging in the underwater domain, especially due to the lack of high resolution, low noise sensors. A new spectral registration method is presented that can determine the spatial 6 DOF transformation between pairs of very noisy 3D scans with only partial overlap. The approach is hence suited to cope with sonar as the predominant underwater sensor. The spectral registration method is based on Phase Only Matched Filtering (POMF) on non-trivially resampled spectra of the 3D data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Autonomous Robots Springer Journals

Spectral registration of noisy sonar data for underwater 3D mapping

Autonomous Robots , Volume 30 (3) – Feb 4, 2011

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References (96)

Publisher
Springer Journals
Copyright
Copyright © 2011 by Springer Science+Business Media, LLC
Subject
Engineering; Computer Imaging, Vision, Pattern Recognition and Graphics; Artificial Intelligence (incl. Robotics); Control , Robotics, Mechatronics; Robotics and Automation
ISSN
0929-5593
eISSN
1573-7527
DOI
10.1007/s10514-011-9221-8
Publisher site
See Article on Publisher Site

Abstract

3D mapping is very challenging in the underwater domain, especially due to the lack of high resolution, low noise sensors. A new spectral registration method is presented that can determine the spatial 6 DOF transformation between pairs of very noisy 3D scans with only partial overlap. The approach is hence suited to cope with sonar as the predominant underwater sensor. The spectral registration method is based on Phase Only Matched Filtering (POMF) on non-trivially resampled spectra of the 3D data.

Journal

Autonomous RobotsSpringer Journals

Published: Feb 4, 2011

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