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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

Authors :
Karolina Zwolak
Rochelle Wigley
Aileen Bohan
Yulia Zarayskaya
Evgenia Bazhenova
Wetherbee Dorshow
Masanao Sumiyoshi
Seeboruth Sattiabaruth
Jaya Roperez
Alison Proctor
Craig Wallace
Hadar Sade
Tomer Ketter
Benjamin Simpson
Neil Tinmouth
Robin Falconer
Ivan Ryzhov
Mohamed Elsaied Abou-Mahmoud
Source :
Remote Sensing, Vol 12, Iss 8, p 1344 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

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.

Details

Language :
English
ISSN :
20724292
Volume :
12
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.6882e288ed2640be96935620bbb435c0
Document Type :
article
Full Text :
https://doi.org/10.3390/rs12081344