Experiments on Surface Reconstruction for Partially Submerged Marine Structures

Over the past 10 years, significant scientific effort has been dedicated to the problem of three-dimensional (3-D) surface reconstruction for structural systems. However, the critical area of marine structures remains insufficiently studied. The research presented here focuses on the problem of 3-D...

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Main Authors: Papadopoulos, Georgios, Kurniawati, Hanna, Shariff, Ahmed Shafeeq Bin Mohd, Wong, Liang Jie, Patrikalakis, Nicholas M.
Outros Autores: Massachusetts Institute of Technology. Department of Mechanical Engineering
Formato: Artigo
Idioma:en_US
Publicado em: Wiley Blackwell 2015
Acesso em linha:http://hdl.handle.net/1721.1/97703
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author Papadopoulos, Georgios
Kurniawati, Hanna
Shariff, Ahmed Shafeeq Bin Mohd
Wong, Liang Jie
Patrikalakis, Nicholas M.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Papadopoulos, Georgios
Kurniawati, Hanna
Shariff, Ahmed Shafeeq Bin Mohd
Wong, Liang Jie
Patrikalakis, Nicholas M.
author_sort Papadopoulos, Georgios
collection MIT
description Over the past 10 years, significant scientific effort has been dedicated to the problem of three-dimensional (3-D) surface reconstruction for structural systems. However, the critical area of marine structures remains insufficiently studied. The research presented here focuses on the problem of 3-D surface reconstruction in the marine environment. This paper summarizes our hardware, software, and experimental contributions on surface reconstruction over the past few years (2008–2011). We propose the use of off-the-shelf sensors and a robotic platform to scan marine structures both above and below the waterline, and we develop a method and software system that uses the Ball Pivoting Algorithm (BPA) and the Poisson reconstruction algorithm to reconstruct 3-D surface models of marine structures from the scanned data. We have tested our hardware and software systems extensively in Singapore waters, including operating in rough waters, where water currents are around 1–2 m/s. We present results on construction of various 3-D models of marine structures, including slowly moving structures such as floating platforms, moving boats, and stationary jetties. Furthermore, the proposed surface reconstruction algorithm makes no use of any navigation sensor such as GPS, a Doppler velocity log, or an inertial navigation system.
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spelling mit-1721.1/977032022-10-01T12:10:26Z Experiments on Surface Reconstruction for Partially Submerged Marine Structures Papadopoulos, Georgios Kurniawati, Hanna Shariff, Ahmed Shafeeq Bin Mohd Wong, Liang Jie Patrikalakis, Nicholas M. Massachusetts Institute of Technology. Department of Mechanical Engineering Papadopoulos, Georgios Patrikalakis, Nicholas M. Over the past 10 years, significant scientific effort has been dedicated to the problem of three-dimensional (3-D) surface reconstruction for structural systems. However, the critical area of marine structures remains insufficiently studied. The research presented here focuses on the problem of 3-D surface reconstruction in the marine environment. This paper summarizes our hardware, software, and experimental contributions on surface reconstruction over the past few years (2008–2011). We propose the use of off-the-shelf sensors and a robotic platform to scan marine structures both above and below the waterline, and we develop a method and software system that uses the Ball Pivoting Algorithm (BPA) and the Poisson reconstruction algorithm to reconstruct 3-D surface models of marine structures from the scanned data. We have tested our hardware and software systems extensively in Singapore waters, including operating in rough waters, where water currents are around 1–2 m/s. We present results on construction of various 3-D models of marine structures, including slowly moving structures such as floating platforms, moving boats, and stationary jetties. Furthermore, the proposed surface reconstruction algorithm makes no use of any navigation sensor such as GPS, a Doppler velocity log, or an inertial navigation system. Singapore-MIT Alliance for Research and Technology. Center for Environmental Sensing and Modeling 2015-07-07T17:02:26Z 2015-07-07T17:02:26Z 2013-10 2013-01 Article http://purl.org/eprint/type/JournalArticle 15564959 1556-4967 http://hdl.handle.net/1721.1/97703 Papadopoulos, Georgios, Hanna Kurniawati, Ahmed Shafeeq Bin Mohd Shariff, Liang Jie Wong, and Nicholas M. Patrikalakis. “Experiments on Surface Reconstruction for Partially Submerged Marine Structures.” Journal of Field Robotics 31, no. 2 (October 16, 2013): 225–244. en_US http://dx.doi.org/10.1002/rob.21478 Journal of Field Robotics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Wiley Blackwell Other univ. web domain
spellingShingle Papadopoulos, Georgios
Kurniawati, Hanna
Shariff, Ahmed Shafeeq Bin Mohd
Wong, Liang Jie
Patrikalakis, Nicholas M.
Experiments on Surface Reconstruction for Partially Submerged Marine Structures
title Experiments on Surface Reconstruction for Partially Submerged Marine Structures
title_full Experiments on Surface Reconstruction for Partially Submerged Marine Structures
title_fullStr Experiments on Surface Reconstruction for Partially Submerged Marine Structures
title_full_unstemmed Experiments on Surface Reconstruction for Partially Submerged Marine Structures
title_short Experiments on Surface Reconstruction for Partially Submerged Marine Structures
title_sort experiments on surface reconstruction for partially submerged marine structures
url http://hdl.handle.net/1721.1/97703
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