An AUV-deployable pulsed laser line scan (PLLS) imaging sensor

Dalgleish, Fraser; Caimi, Frank M.; Britton, Walter; Andren, Carl

doi:10.1109/oceans.2007.4449184

Cited by 16 publications

(10 citation statements)

References 12 publications

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“…Another emerging technology is laser line scanners (LLS). As LLS systems continue to shrink in size and power requirements, they are being integrated into AUVs to provide detailed 3-D information in complex environments (Dalgleish et al, 2007).…”

Section: Figurementioning

confidence: 99%

AUV Sensors for Real-Time Detection, Localization, Characterization, and Monitoring of Underwater Munitions

Camilli¹,

Bingham²,

Jakuba³

et al. 2009

mar technol soc j

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A B S T R A C TThis technical paper describes existing capabilities and new research results for autonomous underwater vehicles (AUVs) for use in locating, characterizing, and monitoring underwater munitions. The authors introduce advances in sensor technologies and search methods pertinent to AUV-based underwater munition mitigation operations. Results are presented from a series of trials using in situ chemical sensors to detect both conventional and nonconventional underwater munitions in real time. These technologies are considered within the context of chemical plume tracing and biomimetic search algorithms. This paper concludes with a look toward future AUV sensor payloads with more extensive real-time situation awareness. Advancement of these technologies and methods will be critical for realizing the potential of AUV platforms to manage the risks posed by underwater munitions sites.

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Section: Figurementioning

confidence: 99%

AUV Sensors for Real-Time Detection, Localization, Characterization, and Monitoring of Underwater Munitions

Camilli¹,

Bingham²,

Jakuba³

et al. 2009

mar technol soc j

View full text Add to dashboard Cite

show abstract

“…Furthermore, only one instrument has been available in the United States for civilian and commercial use, a Northrup-Grumman SM-2000 on a FOCUS tow vehicle, and it met with an accident at sea in 2006 (see Operation Laser Line 2006 on the NOAA Ocean Exploration web site, http:// www.oceanexplorer.noaa.gov). Nevertheless, development of laser line scan instrumentation continues (e.g., Dalgleish et al 2007), and may lead to a practical tool in the future.…”

Section: Visual-scale Technologiesmentioning

confidence: 99%

Overview: Marine Habitat Mapping Technology for Alaska

Reynolds¹,

Greene²,

Landing³

et al. 2008

Marine Habitat Mapping Technology for Alaska

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Benthic habitat mapping has become the principal method for defining the distribution of benthic habitats, and indicating or predicting the distribution of marine organisms that are closely associated with these habitats. The method is heavily dependent on technologies, both at remote sensing scales for creation of seafloor maps and at smaller scales, mainly visual and sampling activities, for direct characterization of the seafloor. Thus an understanding of what technologies are available, their capabilities, and how they might be used is essential to development of effective habitat mapping programs. This volume is a product of the Marine Habitat Mapping Technology Workshop for Alaska (April 2007), and contains papers developed from presentations by the invited speakers. The focus is on proven technologies that have capabilities appropriate for habitat mapping in Alaska waters. The context and need for benthic habitat mapping is discussed from the point of view of marine resource managers. Remote sensing technologies and their applications to habitat mapping are reviewed, including a variety of sonar mapping systems, mapping AUVs, small-boat surveys in shallow water, airborne LIDAR (light detection and ranging) bathymetry, and subbottom profiling. Visual scale technologies are also reviewed, including towed video sleds, small ROVs, the imaging AUV SeaBED, the manned submersible Delta, and methods of quantitative video analysis. Habitat classification schemes are discussed. Finally, several case histories of major habitat mapping programs are summarized as illustrations of several possible approaches to habitat mapping of large regions: Heceta Bank, Oregon; the Scotian Shelf; the Australian Exclusive Economic Zone; and the Irish National Seabed Survey. These case histories are relevant to development of strategies for habitat mapping at the scale of the Alaska region.

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“…Sensor systems play a relevant role in the development of AUV navigation systems as they provide information about the system status and/or environmental conditions. There exist several sensors that provide relevant and accurate information [5][6][7]. However, global or local pose estimation of underwater vehicles is still an open problem, specially when a single sensor is used.…”

Section: Introductionmentioning

confidence: 99%

Vision-Based Autonomous Underwater Vehicle Navigation in Poor Visibility Conditions Using a Model-Free Robust Control

et al. 2016

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This paper presents a vision-based navigation system for an autonomous underwater vehicle in semistructured environments with poor visibility. In terrestrial and aerial applications, the use of visual systems mounted in robotic platforms as a control sensor feedback is commonplace. However, robotic vision-based tasks for underwater applications are still not widely considered as the images captured in this type of environments tend to be blurred and/or color depleted. To tackle this problem, we have adapted thelαβcolor space to identify features of interest in underwater images even in extreme visibility conditions. To guarantee the stability of the vehicle at all times, a model-free robust control is used. We have validated the performance of our visual navigation system in real environments showing the feasibility of our approach.

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An AUV-deployable pulsed laser line scan (PLLS) imaging sensor

Cited by 16 publications

References 12 publications

AUV Sensors for Real-Time Detection, Localization, Characterization, and Monitoring of Underwater Munitions

AUV Sensors for Real-Time Detection, Localization, Characterization, and Monitoring of Underwater Munitions

Overview: Marine Habitat Mapping Technology for Alaska

Vision-Based Autonomous Underwater Vehicle Navigation in Poor Visibility Conditions Using a Model-Free Robust Control

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