scholarly journals Robotic tools for deep water archaeology: Surveying an ancient shipwreck with an autonomous underwater vehicle

2010 ◽  
Vol 27 (6) ◽  
pp. 702-717 ◽  
Author(s):  
Brian Bingham ◽  
Brendan Foley ◽  
Hanumant Singh ◽  
Richard Camilli ◽  
Katerina Delaporta ◽  
...  
Keyword(s):  
Deep Water ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Robotic Tools

scholarly journals The Autonomous Underwater Vehicle Integrated with the Unmanned Surface Vessel Mapping the Southern Ionian Sea. The Winning Technology Solution of the Shell Ocean Discovery XPRIZE

2020 ◽  
Vol 12 (8) ◽  
pp. 1344 ◽  
Author(s):  
Karolina Zwolak ◽  
Rochelle Wigley ◽  
Aileen Bohan ◽  
Yulia Zarayskaya ◽  
Evgenia Bazhenova ◽  
...  
Keyword(s):  
Deep Water ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Unmanned Vehicles ◽  
Ionian Sea ◽  
Automatic Data ◽  
Multibeam Echosounder ◽  
Synthetic Aperture Sonar ◽  
Unmanned Surface Vessel ◽  
Surface Vessel

The methods of data collection, processing, and assessment of the quality of the results of a survey conducted at the Southern Ionian Sea off the Messinian Peninsula, Greece are presented. Data were collected by the GEBCO-Nippon Foundation Alumni Team, competing in the Shell Ocean Discovery XPRIZE, during the Final Round of the competition. Data acquisition was conducted by the means of unmanned vehicles only. The mapping system was composed of a single deep water AUV (Autonomous Underwater Vehicle), equipped with a high-resolution synthetic aperture sonar HISAS 1032 and multibeam echosounder EM 2040, partnered with a USV (Unmanned Surface Vessel). The USV provided positioning data as well as mapping the seafloor from the surface, using a hull-mounted multibeam echosounder EM 304. Bathymetry and imagery data were collected for 24 h and then processed for 48 h, with the extensive use of cloud technology and automatic data processing. Finally, all datasets were combined to generate a 5-m resolution bathymetric surface, as an example of the deep-water mapping capabilities of the unmanned vehicles’ cooperation and their sensors’ integration.

Autonomous underwater vehicle (AUV) mapping reveals coral mound distribution, morphology, and oceanography in deep water of the Straits of Florida

2006 ◽  
Vol 33 (23) ◽  
Author(s):  
Mark Grasmueck ◽  
Gregor P. Eberli ◽  
David A. Viggiano ◽  
Thiago Correa ◽  
Glenda Rathwell ◽  
...  
Keyword(s):  
Deep Water ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Straits Of Florida

Vertical Water Column Survey in the Gulf of Mexico Using Autonomous Underwater Vehicle SOTAB-I

2015 ◽  
Vol 49 (3) ◽  
pp. 88-101 ◽  
Author(s):  
Mahdi Choyekh ◽  
Naomi Kato ◽  
Timothy Short ◽  
Masahiro Ukita ◽  
Yasuaki Yamaguchi ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gulf Of Mexico ◽  
Water Column ◽  
Deep Water ◽  
Oil And Gas ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Monitoring Systems ◽  
Chemical Substances ◽  
Oceanographic Data

Abstract Oil spills caused by accidents from oil tankers and blowouts of oil and gas from offshore platforms cause tremendous damage to the environment as well as to marine and human life. To prevent oil and gas accidentally released from deep water from spreading and causing further damage over time to the environment, early detection and monitoring systems can be deployed to the area where underwater releases of oil and gas first occurred. Monitoring systems can provide a rapid inspection of the area by detecting chemical substances and collecting oceanography data necessary for enhancing the accuracy of simulation of behavior of oil and gas. An autonomous underwater vehicle (AUV) called the Spilled Oil and Gas Tracking Autonomous Buoy system (SOTAB-I) is being developed to perform onsite measurements of oceanographic data as well as dissolved chemical substances using underwater mass spectrometry. The scope of this paper is limited to the surveying abilities of SOTAB-I in shallow water, although it also has functions for surveying in deep water. The experiment results obtained during the early deployments of SOTAB-I in the shallow water of the Gulf of Mexico in the United States are provided. Oceanographic data, such as the water column distribution of temperature, salinity, and density, as well as the dissolution of chemical substances were measured. In addition, a high-resolution water current profile was obtainable near the seabed. <def-list> Nomenclature <def-item> <term>ADCP</term> <def> acoustic Doppler current profiler </def> </def-item> <def-item> <term>AUV</term> <def> autonomous underwater vehicle </def> </def-item> <def-item> <term>BTX</term> <def> benzene-toluene-xylenes </def> </def-item> <def-item> <term>CTD</term> <def> conductivity-temperature-depth </def> </def-item> <def-item> <term>DVL</term> <def> Doppler velocity logger </def> </def-item> <def-item> <term>GPS</term> <def> global positioning system </def> </def-item> <def-item> <term>MIMS</term> <def> membrane introduction mass spectrometry </def> </def-item> <def-item> <term>PID</term> <def> proportional-integral-derivative </def> </def-item> <def-item> <term>PSU</term> <def> practical salinity units </def> </def-item> <def-item> <term>RMSE</term> <def> root mean square error </def> </def-item> <def-item> <term>UMS</term> <def> underwater mass spectrometer </def> </def-item> <def-item> <term>USBL</term> <def> ultra-short base line </def> </def-item> <def-item> <term>VOC</term> <def> volatile organic compound </def> </def-item> <def-item> <term>VRU</term> <def> vertical reference unit </def> </def-item> </def-list>

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