Side scan sonar using for underwater cables &amp;amp; pipelines tracking by means of AUV

Bagnitsky, A.; Inzartsev, Alexander; Pavin, Alexander; Melman, Sergey; Morozov, M. A.

doi:10.1109/ut.2011.5774119

Cited by 47 publications

(20 citation statements)

References 4 publications

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“…The tangent trigonometric function requires two distance measures between each pair of pixel point of P 1 , P 3 , andP 4 . Therefore, we calculate the horizontal distance between points P 1 andP 3 (i.e.…”

Section: Visual Feedback-based Heading Controlmentioning

confidence: 99%

Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection

Khan

Ali

Mériaudeau

et al. 2017

International Journal of Advanced Robotic Systems

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Underwater robotics and imaging have emerged as an attractive field due to complications for human divers in a deepwater environment. Inspection of various installations in an underwater environment is carried out by underwater vehicles. The equipment that is used at present requires high computational cost and dedicated only to single task. This results in an expensive hardware and application-oriented technology, hence restricting the versatility of the underwater vehicle. This article proposes a visual feedback-based heading control and tracking method for the autonomous underwater vehicle to provide a versatile solution. The proposed method is used for subsea pipeline corrosion inspection subjected to hydrodynamic disturbances. There are two parts of this study: the first part includes the heading control of the underwater vehicle using visual feedback to follow the pipeline, whereas the second part involves underwater image enhancement and dehazing using wavelet-based fusion for corrosion estimation. The visual feedback and corrosion estimation rely on the same image data during the inspection of the pipeline, hence, reducing the complexity of the overall algorithm. The performance of the proposed method is evaluated on image dataset acquired in an underwater environment where the camera is mounted on the underwater vehicle.

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Section: Visual Feedback-based Heading Controlmentioning

confidence: 99%

Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection

Khan

Ali

Mériaudeau

et al. 2017

International Journal of Advanced Robotic Systems

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“…Recognition and tracking of underwater cables based on sonar imagery was also considered by Bagnitsky et al (2011). They drew attention to the configuration of sidescan sonar (SSS) for the detection of lengthy underwater objects.…”

Section: Echo Acoustic Detectionsmentioning

confidence: 99%

“…The main objective was to set up an image resolution high enough to be able to detect thin, lengthy objects, albeit below some threshold value so as to be resistant to noise. In their experiments Bagnitsky et al (2011) used a hydroacoustic SSS that possessed high resolution (up to 0.5° × 0.03m) and had the long range of operation (up to 2 × 120m). The next step after obtaining an image was to apply filtering.…”

Section: Echo Acoustic Detectionsmentioning

confidence: 99%

“…The next step after obtaining an image was to apply filtering. Bagnitsky et al (2011) proposed a filtration algorithm that changed the pixel brightness of each pixel to the nearest value from the neighbouring pixels, if its brightness did not exceed the threshold above or below any of the surrounding pixels. In the filtration process, they also proposed an algorithm based on a gradient model to determine the probability of the point on the image belonging to the border of a required object.…”

Section: Echo Acoustic Detectionsmentioning

confidence: 99%

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Developments in subsea power and telecommunication cables detection: Part 1 – Visual and hydroacoustic tracking

Szyrowski¹,

Sharma²,

Sutton³

et al. 2013

uw tech: int j soc uw tech

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Subsea power and telecommunication transmission lines play an important role in today's world. They not only provide a link from shore to shore, but also connect an increasing number of offshore wind farms, wave power plants and other sea installations.Subsea cables have to be periodically maintained and checked for movement in terms of their position and burial depth. This task is difficult because of the dynamic environment of the sea floor, which can cause changes in position, depth, visibility and access to the utilities.In this review, developments in visual and hydroacoustic tracking are discussed, as are theoretical and practical concerns. This review also describes methods and tools for detection of the transmission lines laid on a seabed. Finally, it highlights the need to construct a simple reliable system to estimate the position and burial depth of subsea transmission lines.

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“…A number of systems have been developed for the detection of cables and pipelines using three primary sensing devices: magnetometers (Szyrowski et al, 2013), sonar (Bagnitsky et al, 2011;Isaacs and Goroshin, 2010), and video cameras (Narimani et al, 2009;Ortiz and Antich, 2009;Ortiz et al, 2011;Wirth et al, 2008). Magnetometers enable ROVs to locate buried cables; however, this approach is viable only for pipelines/cables made of ferrous or magnetic materials.…”

Section: Introductionmentioning

confidence: 99%

Vision-based line detection for underwater inspection of breakwater construction using an ROV

2015

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Side scan sonar using for underwater cables & pipelines tracking by means of AUV

Cited by 47 publications

References 4 publications

Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection

Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection

Developments in subsea power and telecommunication cables detection: Part 1 – Visual and hydroacoustic tracking

Vision-based line detection for underwater inspection of breakwater construction using an ROV

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