K. Abukawa, S. Matsumoto, T. Hirabayashi, K. Shirai, Tomoo Sato, Hiroshi Iida, M. Nanri, M. Yoshie, K. Katakura, Koji Takahashi
{"title":"Experimentation for development of underwater acoustic video camera: In experiment dock","authors":"K. Abukawa, S. Matsumoto, T. Hirabayashi, K. Shirai, Tomoo Sato, Hiroshi Iida, M. Nanri, M. Yoshie, K. Katakura, Koji Takahashi","doi":"10.23919/OCEANS.2015.7401944","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401944","url":null,"abstract":"Ocean resources exploration and underwater works using Remotely Operated Vehicle and Autonomous Underwater Vehicle increase interest, and a techniques of underwater image with acoustic has become a significant concern. Therefore, a development of new underwater acoustic device adapted to ocean resources exploration and underwater works. In this study, we experiment with the use of acoustic video camera for development of a new acoustic video camera and software to meet ocean resources exploration and underwater works needs. The experiment was performed by means of an acoustic video camera, underwater teleoperated excavator, underwater crawler, and simulated chimney. High spatial imaging and software were developed for this experiment and they were used to generate 3D views, to display an operation views and measurement distance of targets. Our results will be necessary for the ocean resources exploration and underwater works.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"7 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125996913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Feasibility of low-power one-way travel-time inverted ultra-short baseline navigation","authors":"M. Jakuba, J. Kinsey, J. Partan, Sarah E. Webster","doi":"10.23919/OCEANS.2015.7401992","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401992","url":null,"abstract":"Recent and underway development efforts promise to deliver long endurance and deep-diving autonomous underwater vehicles with the potential to persistently observe the deep (6000 m) ocean interior and sea floor over time scales of months to years. These assets and their shallow-diving (<;1000 m) predecessors navigate primarily by dead-reckoning between surfacing for GPS fixes, a paradigm that precludes their use in missions where science objectives call for precise navigation deep in the water column or near the deep sea floor. Coupled with a single autonomous surface vessel, one-way travel time inverted ultrashort baseline positioning (OWTT-iUSBL) offers a compelling, but presently unrealized, alternative to infrastructure-intensive external acoustic aiding. Such systems could provide navigation aiding to multiple underwater vehicles while retaining a level of autonomy and endurance for the system as a whole comparable to that of a solitary vehicle. While the concept of OWTT-iUSBL is not new, we argue that the maturity of acoustic modem technology combined with the emergence of very low-power precision timing and attitude sensors will make it possible to deploy OWTT-iUSBL systems on low-power underwater vehicles in the near term. This paper presents two analyses in support of this conjecture. First, we discuss the factors that govern the achievable accuracy of OWTT-iUSBL navigation and present single-fix error budgets for specific system configurations using representative commercially-available components. Second, we consider the impact of a specific low-power configuration on the endurance of a deepprofiling autonomous underwater glider. Our analyses suggest that a practically realizable OWTT-iUSBL system could provide navigational accuracy 1-2 orders of magnitude superior to that presently achievable using periodic ascents to acquire global positioning system (GPS), and, for sufficiently deep deployments, actually yield more near-bottom data despite reducing overall vehicle endurance.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129438431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extrinsic calibration of an RGB camera to a 3D imaging sonar","authors":"A. Marburg, A. Stewart","doi":"10.23919/OCEANS.2015.7404377","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404377","url":null,"abstract":"The introduction of low-cost RGB-depth (RGB-D) sensors have led to a diversity of algorithms for robust 3D scene reconstruction under controlled settings, but the underwater realization of such algorithms has been hampered by the constrained performance of most RGB-D sensors in water. We explore the possibility of fusing a point cloud generated from a high-frequency, mechanically scanned 3D imaging sonar with visual data from a camera to create a rich 3D representation of objects in the water column. A state-of-the-art algorithm for depth sensor-to-camera registration utilizing concurrent images of spherical targets is adapted, and the resulting alignment is used to combine sonar and visual imagery.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128396922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Medium Access Control mechanism for Multi-hop Underwater Acoustic Networks utilizing time reversal","authors":"Ruiqin Zhao, Xiaohong Shen, Weigang Bai, Zhe Jiang, Yong Wang, Haiyan Wang","doi":"10.23919/OCEANS.2015.7404366","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404366","url":null,"abstract":"In Multi-hop Underwater Acoustic Networks (MUANs), Medium Access Control (MAC) protocol has attracted strong attentions due to its potentially large impact to the overall network performance. The main task of a MAC protocol is to prevent simultaneous transmissions or resolve transmission collisions of data packets while providing energy efficiency, low channel access delays and fairness among the nodes in a network. Unlike terrestrial networks, which mainly rely on radio waves for communications, MUANs utilize acoustic waves, which pose a new research challenge in the design of MAC protocols. In this paper, we propose a new MAC strategy for MUANs utilizing time reversal (TR), to overcome the medium access control problems encountered under the environment of underwater acoustic networks. Utilizing the complex spatial varied features of underwater acoustic channel, time-reversal (TR) process could concentrate signal energy in both the spatial and temporal domains, a useful property for networks in an environment with significant multipath. Utilizing time reversal (TR), the proposed MAC strategy results in a significant improved spatial multiplexing ratio of the shared wireless channel, and resolves collision of simultaneous transmissions in multi-hop underwater acoustic networks.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129314459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trajectory controller for Autonomous Surface Vehicle under sea waves","authors":"B. Braginsky, H. Guterman","doi":"10.23919/OCEANS.2015.7401960","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401960","url":null,"abstract":"This paper presents a solution to the trajectory-tracking control problem of an Autonomous Surface Vehicle (ASV) under the effect of sea waves. Worldwide, there has been increasing interest in the use of ASVs to execute missions of increasing complexity without direct supervision of human operators. A key-enabling element for the execution of such missions is the availability of advanced systems for motion control of ASVs. The problems of motion control can be roughly classified into three groups: i) point stabilization, where the goal is to stabilize a vehicle at a given target point with a desired orientation; ii) trajectory tracking, where the vehicle is required to track a time parameterized reference; and iii) path following, where the objective is for the vehicle to converge to and follow a desired geometric path, without an explicit timing law assigned to it. In some applications where it is critical for ASVs to follow the preplanning trajectory as closely as possible, the trajectory problem of ASVs becomes important.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129622759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"NX-2G: Autonomous BBOBS-NX for a highly mobile broadband seismic and tilt observation at the seafloor","authors":"H. Shiobara, M. Shinohara, H. Sugioka, A. Ito","doi":"10.23919/OCEANS.2015.7401857","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7401857","url":null,"abstract":"Developments of the broadband ocean bottom seismometer (BBOBS) and its new generation system (BBOBSNX) have been a base to establish the ocean floor broadband seismology, since 1999. Our BBOBS and BBOBS-NX data is adequate for modern broadband seismic analyses to study the deep Earth interior. Especially, the BBOBS-NX can offer the low noise horizontal data comparable to land seismic stations in periods longer than 10 s. As a variation of the BBOBS-NX, the BBOBST-NX has been developed too, which enables the additional tilt measurement at the seafloor with the broadband seismic data. Their high performance can be a breakthrough to realize the geodetic observation network at the seafloor for slow slip event observations for example. A defect of the current BBOBS-NX system is necessity of the submersible vehicle in its operation of the deployment and the recovery. This condition limits possibilities of observations, compared to observations by the BBOBS that can be operated even on a small fishery boat. The development of the autonomous BBOBS-NX, NX-2G, is really required to elucidate the Earth interior below wide oceanic area in the future.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127310779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"When underwater imagery analysis meets deep learning: A solution at the age of big visual data","authors":"Hongwei Qin, Xiu Li, Zhixiong Yang, Min Shang","doi":"10.23919/OCEANS.2015.7404463","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404463","url":null,"abstract":"Underwater imagery processing is in great demand, while the research is far from enough. The unrestricted natural environment makes it a challenging task. On the other hand, prior to the advent of cabled observatories, the majority of deep-sea video data was acquired by remotely operated vehicles (ROVs), and was analyzed and annotated manually. In contrast, seafloor cabled observatories such as the NEPTUNE and VENUS observatories offer a 24/7 presence, resulting in unprecedented volumes of visual data. The analysis of underwater imagery imposes a series of unique challenges, which need to be tackled by the computer vision community in collaboration with biologists and ocean scientists. In this paper, we introduce how deep learning, the state-of-the-art machine learning technique, can benefit underwater imagery understanding at the age of big data.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127128246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrenette Morrison, L. Ramsay, Martín R. Arroyo, Kelsey M Ashbrook, Olivia Czerewko, Stephanie Lee, Caleb Lintz, E. Payne, J. Kohut, S. Glenn, O. Schofield, T. Miles
{"title":"Model comparison for transatlantic ocean glider flight: Student analysis of modern circumnavigation","authors":"Andrenette Morrison, L. Ramsay, Martín R. Arroyo, Kelsey M Ashbrook, Olivia Czerewko, Stephanie Lee, Caleb Lintz, E. Payne, J. Kohut, S. Glenn, O. Schofield, T. Miles","doi":"10.23919/OCEANS.2015.7404505","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404505","url":null,"abstract":"Oceanic forecast models are imperative to understand the Earth's ocean. Current oceanic forecasts assimilate satellite sea surface height and temperature data along with temperature and salinity profiles from Argo networks of over 3000 drifters. Even though assimilation of these datasets are reliable, they have limitations because areas that provide critical data to ocean forecast models are often under sampled. Autonomous Underwater Gliders (AUGs) can be used as a solution to reduce under sampled regions of the ocean. Over the last decade, AUGs have successfully been used to carry out regional deployments to conduct scientific expeditions throughout the Earth's Ocean. Through the Challenger Glider Mission, coordinated flights covering 128,000 kilometers are planned around the five ocean basins. A range of international institutions and agencies can participate in the mission using interactive tools developed by the U.S. Integrated Ocean Observing System (IOOS) and the education outreach tools of the U.S. National Science Foundation's (NSF) Ocean Observing Initiative (OOI). These interactive tools are programmed to display real time glider data with interactive browser-based access, enabling student participation in global ocean exploration and predictive skill experiments. During the summer of 2015, student research teams participated in the second leg of the South Atlantic Challenger Glider Mission (named RU29). The aim is to show the usefulness of RU29's in situ datasets in ocean forecasting by comparing salinity, temperature, and sea surface current observations to the predictive readings of ocean models (RTOFS, MyOcean) and data generated by the Argo Float program. The students' involvement contributes to the assessment of current scientific and oceanographic models, courtesy of the Challenger Glider Mission.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127163396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Gilbert, B. Prueitt, L. Hotaling, T. Greely, S. Murawski, D. Hollander
{"title":"Communicating oil spill science","authors":"S. Gilbert, B. Prueitt, L. Hotaling, T. Greely, S. Murawski, D. Hollander","doi":"10.23919/OCEANS.2015.7404573","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404573","url":null,"abstract":"The Center for the Integrated Modeling and Analysis of the Gulf Ecosystem I and II (C-IMAGE I and II) are two of fourteen centers funded by the Gulf of Mexico Research Initiative (GoMRI) investigating the shortand long-term impacts of submarine oil spills on the Gulf of Mexico Ecosystem. C-IMAGE researchers represent twenty institutions from six countries while having expertise in all oceanographic disciplines. Incorporating strong field, laboratory, and modeling components in C-IMAGE research allows opportunities for a variety of engaging education and outreach activities. Since 2011, CIMAGE has produced seven podcasts, hosted eight Teachers At Sea which included Skype ship to-shore sessions, presented new discoveries to the public at localized venues, and broadened its reach using partnerships at Public Radio International (PRI), the Public Radio Exchange (PRX), GoMRI, and SeaGrant. This paper describes C-IMAGE's outreach efforts in detail while providing a look ahead to activities planned over the next three years.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129123955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A joint linear-analog network coding based protocol for data transfer in underwater acoustic networks","authors":"Xiaobo Zhao, Xiaohong Shen, Haiyan Wang, Weigang Bai, Ruiqin Zhao","doi":"10.23919/OCEANS.2015.7404378","DOIUrl":"https://doi.org/10.23919/OCEANS.2015.7404378","url":null,"abstract":"In underwater acoustic networks, the objective that researchers are pursuing is establishing a network with high reliability, high throughput and low energy consumption. Network coding can enhance reliability and throughput of network. Moreover, the throughput of network will be significantly improved by analog network coding. Accordingly, with higher reliability and higher throughput, the energy consumption will be lower. In this paper, the linear network coding and analog network coding are combined creatively. Besides, a SNR estimation algorithm is used to choose packets instead of choosing packets randomly for decoding. Afterwards, for taking advantage of the redundant packets better, packets are refreshed via bit-by-bit comparison. At last, we present numerical experiments to evaluate the performance of this scheme.","PeriodicalId":403976,"journal":{"name":"OCEANS 2015 - MTS/IEEE Washington","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123709270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}