Remotely-Operated Vehicle applications in port and harbor site characterization: Payloads, platforms, sensors, and operations

Keranen, Joe; Schultz, G. V.; Bassani, Chet; Segal, Sam; Kinnaman, Ben

doi:10.1109/oceans.2012.6404987

Cited by 8 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies have already pointed out the possibilities of ROV-based detection of unexploded ordnance (UXO) in the past. A 2012 contribution [34] described the ROV detection capabilities of UXO in seaport operations. Recent contributions connect specialised ROV systems for electromagnetic detection [35] with UXO detection in the context of offshore site surveys [36].…”

Section: Micro Rov Operationsmentioning

confidence: 99%

How the Micro ROV Class WillChange the Maritime Sector: AnIntroductory Analysis on ROV,Big Data and AI

Stein

2023

Autonomous Vehicles - Applications and Perspectives

View full text Add to dashboard Cite

Although underwater drones are no novel technology, their widespread use in civil and industrial applications has not been widely accepted so far. Apart from that, the decrease in size and costs along with an increase in robustness of underwater drones and the ease of handling provide a strong basis for underwater drone technology to grow in various markets. This chapter introduces the application of underwater drone technology in maritime operations, focusing on the micro ROV class. An introductory framework evaluation based on a structured literature analysis of the current state of research is conducted in order to provide a structured outlook on areas of drone operations in the maritime domain. Furthermore, the combination of micro ROV and artificial intelligence in the form of a neural network based on deep learning is introduced. This contribution provides an introductory analysis regarding both operational sides of science and the industry in order to shed light on the existing literature gap as ground for future research.

show abstract

Section: Micro Rov Operationsmentioning

confidence: 99%

How the Micro ROV Class WillChange the Maritime Sector: AnIntroductory Analysis on ROV,Big Data and AI

Stein

2023

Autonomous Vehicles - Applications and Perspectives

View full text Add to dashboard Cite

show abstract

“…A similar small form DVL was integrated onto another hand-held inspection-class ROV for an exercise to discover and characterise unexploded ordnance (UXO). The team discovered that, due to the proximity of the DVL to the thrusters, noise issues resulted in poor navigation readings [162]. DVLs are generally integrated into INS systems for more refined positioning using Kalman filter equations.…”

Section: Navigation and Positioning Sensorsmentioning

confidence: 99%

Inspection-Class Remotely Operated Vehicles—A Review

Capocci

Dooly

Omerdić

et al. 2017

JMSE

161

View full text Add to dashboard Cite

This paper presents a review of inspection-class Remotely Operated Vehicles (ROVs). The review divides the classification of inspection-class ROVs; categorising the vehicles in order of size and capability. A state of the art technology review is undertaken, discussing various common subsystems of the ROV. Standard and novel ROV shapes and designs are reviewed, with emphasis on buoyancy, frame materials and hydrodynamics. Several power considerations and designs are discussed, accounting for battery fed and mains fed systems. ROV telemetry is split into a discussion on the various transmission hardware systems and the communication protocols that are most widely used in industry and research today. A range of thruster technologies is then introduced with consideration taken of the various thruster architectures available. Finally, the navigation and positioning sensors employed for ROV navigation and control are reviewed. The author has also created a number of comparison tables throughout the review; tables include comparison of wired data transmission technology, comparison of common ROV communication protocols and comparisons of various inertial navigation systems. By the end of the review the reader will have clearer understanding on the fundamentals of inspection-class ROV technologies and can use this as an introduction to further paper investigation.

show abstract

“…These ROV tools provide a comprehensive, real-time picture of the seafloor (Figure 3) in the area surveyed, and are deployable to commonly 300 meters depth. There are several commercial off-the-shelf and custom positioning technologies which can accurately position an ROV to sub-meter accuracy, including ultrashort baseline (USBL) and Doppler velocity log (DVL) (Keranen et al, 2012). The ROV video data can be used to judge general bottom conditions such as mud or sand conditions, debris density, effects of currents, etc.…”

Section: Sageep 2014mentioning

confidence: 99%

Efficient Underwater Site Characterization Using a Layered and Integrated Technology Approach

Foley¹,

Jacobson²,

Jennings³

et al. 2014

Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014

View full text Add to dashboard Cite

Site characterization is inherently difficult in underwater settings. Unlike for terrestrial sites, essential information impacting the effectiveness of sensor platform deployments, caused by variable vegetation and topographic conditions, cannot be defined through simple site visits or review of widely available airborne or satellite imagery. An underwater site is usually "dark." An investigation team may have access to bathymetry from the National Oceanic and Atmospheric Administration (NOAA), or local sediment conditions from prior biological evaluations, but rarely does a site present itself for investigation with detailed bathymetry, sediment conditions and geo-registered locations of materials on the seafloor. HDR, Inc. has developed and implemented a phased approach to underwater site characterization integrating various geo-registered technologies for application to ports and harbors, windfarms or open water sites for environmental or archaeological surveys, or munitions detection. The successful deployment of geophysical, acoustic and optical sensors is highly dependent on two main underwater factors: bathymetry and bottom conditions. As such, the first step in any site characterization effort is the collection and rapid processing of high-resolution multibeam echosounder (MBES) bathymetry and sidescan sonar (SSS). The importance of these initial steps cannot be overstated, and should be considered a top priority, as they establish the "base layer" of information driving most subsequent decisions. Detailed bathymetrical data do not typically exist for underwater sites. Through geo-referenced collection of acoustic energy, MBES creates a digital terrain model (DTM) of the site that is useful in characterizing the seafloor and safely planning follow-on technology and personnel deployments. Figure 1 is an example of the MBES imagery developed for an active port in Elliott Bay, WA. A dredged area is clearly visible in the DTM. Acoustic MBES completeness is Figure 1: Example of MBES bathymetry collected in Elliott Bay, WA, in support of the Formerly Used Defense Sites (FUDS) program. These data images provide a base layer of information about the site and support subsequent deployments and multi-sensor site assessment. SAGEEP 2014 434Downloaded 06/24/16 to 132.236.27.111. Redistribution subject to SEG license or copyright; see Terms of Use at http://library.seg.org/

show abstract

Remotely-Operated Vehicle applications in port and harbor site characterization: Payloads, platforms, sensors, and operations

Cited by 8 publications

References 1 publication

How the Micro ROV Class WillChange the Maritime Sector: AnIntroductory Analysis on ROV,Big Data and AI

How the Micro ROV Class WillChange the Maritime Sector: AnIntroductory Analysis on ROV,Big Data and AI

Inspection-Class Remotely Operated Vehicles—A Review

Efficient Underwater Site Characterization Using a Layered and Integrated Technology Approach

Contact Info

Product

Resources

About