Acoustic Stereo Imaging (ASI) system

Assalih, Hassan; Pétillot, Yvan; Bell, Judith

doi:10.1109/oceanse.2009.5278275

Cited by 10 publications

(4 citation statements)

References 16 publications

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“…In addition to the above-mentioned potential use cases of automatic video processing, the growing field of depthbased video may also significantly benefit from automatic processing. This technology uses optical multi-camera systems [142], [143], acoustic arrays [144], Time of Flight (ToF) depth sensors [145], and laser beams [146] to provide rich 3D information about the scene. This stereoscopic video technology has been used in underwater vehicles (e.g.…”

Section: Mooreamentioning

confidence: 99%

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

Jahanbakht

Wang

Hanzo

et al. 2021

IEEE Commun. Surv. Tutorials

283

111

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The Internet of Underwater Things (IoUT) is an emerging communication ecosystem developed for connecting underwater objects in maritime and underwater environments. The IoUT technology is intricately linked with intelligent boats and ships, smart shores and oceans, automatic marine transportations, positioning and navigation, underwater exploration, disaster prediction and prevention, as well as with intelligent monitoring and security. The IoUT has an influence at various scales ranging from a small scientific observatory, to a midsized harbor, and to covering global oceanic trade. The network architecture of IoUT is intrinsically heterogeneous and should be sufficiently resilient to operate in harsh environments. This creates major challenges in terms of underwater communications, whilst relying on limited energy resources. Additionally, the volume, velocity, and variety of data produced by sensors, hydrophones, and cameras in IoUT is enormous, giving rise to the concept of Big Marine Data (BMD), which has its own processing challenges. Hence, conventional data processing techniques will falter, and bespoke Machine Learning (ML) solutions have to be employed for automatically learning the specific BMD behavior and features facilitating knowledge extraction and decision support. The motivation of this paper is to comprehensively survey the IoUT, BMD, and their synthesis. It also aims for exploring the nexus of BMD with ML. We set out from underwater data collection and then discuss the family of IoUT data communication techniques with an emphasis on the state-of-the-art research challenges. We then review the suite of ML solutions suitable for BMD handling and analytics. We treat the subject deductively from an educational perspective, critically appraising the material surveyed. Accordingly, the reader will become familiar with the pivotal issues of IoUT and BMD processing, whilst gaining an insight into the state-of-theart applications, tools, and techniques. Finally, we analyze of the architectural challenges of the IoUT, followed by proposing a range of promising direction for research and innovation in the broad areas of IoUT and BMD. Our hope is to inspire researchers, engineers, data scientists, and governmental bodies to further progress the field, to develop new tools and techniques, as well as to make informed decisions and set regulations related to the maritime and underwater environments around the world.

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Section: Mooreamentioning

confidence: 99%

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

Jahanbakht

Wang

Hanzo

et al. 2021

IEEE Commun. Surv. Tutorials

283

111

View full text Add to dashboard Cite

show abstract

“…We also note that the specific concept of using two imaging sonars in stereo for 3D perception has been employed previously, but with relatively small differences in position and orientation between the sonars, and for reconstructing sparse sets of point features. The concept, first proposed by Assalih [21], was implemented and further analyzed by Negahdaripour [22], and used to build 3D maps of both sparse features extracted from a planar grid, and from small seafloor objects. Beyond its output of sparse features, this work stands in contrast to ours as the sensors used have aligned axes of uncertainty, rather than the orthogonal axes of uncertainty utilized in our work.…”

Section: Stereo Imagery and Feature Correspondencesmentioning

confidence: 99%

Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction

McConnell¹,

Martin²,

Englot³

2020

Preprint

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We propose a novel approach to handling the ambiguity in elevation angle associated with the observations of a forward looking multi-beam imaging sonar, and the challenges it poses for performing an accurate 3D reconstruction. We utilize a pair of sonars with orthogonal axes of uncertainty to independently observe the same points in the environment from two different perspectives, and associate these observations. Using these concurrent observations, we can create a dense, fully defined point cloud at every time-step to aid in reconstructing the 3D geometry of underwater scenes. We will evaluate our method in the context of the current state of the art, for which strong assumptions on object geometry limit applicability to generalized 3D scenes. We will discuss results from laboratory tests that quantitatively benchmark our algorithm's reconstruction capabilities, and results from a realworld, tidal river basin which qualitatively demonstrate our ability to reconstruct a cluttered field of underwater objects.

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“…Figure 3 shows a C-Scan of a composite spar presented in 3-dimensional imaging. Acoustic imaging may be made by use of multi-beam and high resolution sonars [17]. A sample of acoustic (sonar) imaging capability of the acoustic scan can be seen in Figure 4.…”

Section: Could There Be Alternatives To Human Eye In Close Visual Insmentioning

confidence: 99%

Oil/Gas Pipeline Leak Inspection and Repair in Underwater Poor Visibility Conditions: Challenges and Perspectives

Agbakwuru¹

2012

JEP

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Mechanical pressure clamps are examples of innovative tools commonly used in the oil and gas industry for arresting leaks from damaged oil and gas pipelines. However, if leaks result from pipeline rupture, clamps are not usually recommended. It is therefore obvious that inspection of the leaking pipeline is very crucial in deciding the strategy for repair. For subsea pipelines where underwater poor visibility is pronounced, this important aspect of the pipeline repair process becomes difficult to implement. The result is a repair-leak-repair cycle. This challenge is commonly found in repairs of old pipelines in unclear water conditions. Old pipelines and their vulnerability to fractures that often lead to ruptures are discussed. In this paper, the challenges and technologies available for visualisation and examination in such unclear water conditions are discussed. There appears to be a gap in the existing pipeline integrity management system with respect to inspection and repair of pipelines in unclear water conditions. This gap needs to be filled in order to minimise spills and pollution. For pipelines installed in unclear water condition, a perspective is suggested to extend the capability of existing remotely operated vehicles to employ the use of clear laminar water system or a related technique to provide integrity engineers and operators with close visual assess to inspect leaking pipelines and effect adequate repairs. This paper suggests that the use of optical eye as the main tool for examination remains valuable in managing the challenges in underwater pipeline repairs in unclear water condition

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Acoustic Stereo Imaging (ASI) system

Cited by 10 publications

References 16 publications

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction

Oil/Gas Pipeline Leak Inspection and Repair in Underwater Poor Visibility Conditions: Challenges and Perspectives

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