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  • 2015-2019  (5)
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  • 1
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    IEEE
    In:  [Paper] In: OCEANS 2018 MTS/IEEE Charleston, 22.-25.10.2018, Charleston, USA . OCEANS 2018 MTS/IEEE Charleston ; Article number 8604491 .
    Publication Date: 2019-09-23
    Description: Modern technology like cell phones, wind power plants or electric cars require resources such as certain metals or rare earth elements with limited deposits on land, or expensive or difficult to obtain. Consequently, resources in the oceans like polymetallic nodules, massive sulfides and cobalt crusts are becoming more and more interesting for mining companies. Since mining in the deep sea needs careful consideration and mapping of the concerned locations, might require ecological compensation areas, and is a huge endeavor with enormous costs, logistics and machinery, detailed exploration and spatial planning, resource quantification and environment mapping are inevitable steps early in the process. While traditionally, experts performed several manual steps of map creation, interpretation, target localization, sampling and resource estimation, this paper describes a new pipeline for manganese nodule detection combining acoustic and visual information, that is ultimately intended to run automatically on an Autonomous Underwater Vehicle (AUV) without any user interaction.
    Type: Conference or Workshop Item , NonPeerReviewed , info:eu-repo/semantics/conferenceObject
    Format: text
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  • 2
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    Springer
    In:  In: Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10–13, 2019, Proceedings. , ed. by Fink, G. A., Frintrop, S. and Jiang, X. Lecture Notes in Computer Science, 11824 . Springer, Cham, pp. 79-92. ISBN 978-3-030-33676-9
    Publication Date: 2020-02-26
    Description: Dome ports act as spherical windows in underwater housings through which a camera can observe objects in the water. As compared to flat glass interfaces, they do not limit the field of view, and they do not cause refraction of light observed by a pinhole camera positioned exactly in the center of the dome. Mechanically adjusting a real lens to this position is a challenging task, in particular for those integrated in deep sea housings. In this contribution a mechanical adjustment procedure based on straight line observations above and below water is proposed that allows for accurate alignments. Additionally, we show a chessboard-based method employing an underwater/above-water image pair to estimate potentially remaining offsets from the dome center to allow refraction correction in photogrammetric applications. Besides providing intuition about the severity of refraction in certain settings, we demonstrate the methods on real data for acrylic and glass domes in the water.
    Type: Book chapter , NonPeerReviewed , info:eu-repo/semantics/bookPart
    Format: text
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  • 3
    Publication Date: 2019-09-23
    Description: The AUV Abyss post-processing workflow is published as Jupyter Notebooks complementing the IEEE OES AUV 2018 conference contribution "AUV Abyss workflow: autonomous deep sea exploration for ocean research" (Klischies et al., 2018). The publication explains the application and use of these Notebooks in detail. The purpose of the Juypter Notebooks is to share, adapt, execute and document post- processing of AUV Abyss MBES data.
    Type: Software , NonPeerReviewed
    Format: archive
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  • 4
    Publication Date: 2023-01-31
    Description: Autonomous underwater vehicles (AUVs) equipped with multibeam echosounders (MBES) are essential for collecting high-resolution bathymetric data in the deep sea. Navigation of AUVs and accuracy of acquired MBES data is challenging, especially in deep water or rough terrain. Here, we present the AUV Abyss operational workflow that uses mission planning together with a long baseline (LBL) positioning network, and systematic post-processing of the MBES data using feature matching. The workflow enables autonomous exploration even in difficult terrain, makes ultrashort baseline navigation during the AUV survey obsolete and with this, increases the efficiency of ship time. It provides an efficient workflow for multi-survey mapping campaigns to produce high-resolution, large-coverage seafloor maps. Automated documentation of post-processing steps enhances the archiving of produced results, facilitates knowledge transfer, adaptation to other systems and management of large datasets. Comprehensive documentation allows developing routines that provide a first step towards automatization of AUV operations and MBES data processing.
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 5
    Publication Date: 2023-01-31
    Description: Autonomous underwater vehicles (AUVs) equipped with multibeam echosounders (MBES) are essential for collecting high-resolution bathymetric data in the deep sea. Navigation of AUVs and accuracy of acquired MBES data is challenging, especially in deep water or rough terrain. Here, we present the AUV Abyss operational workflow that uses mission planning together with a long baseline (LBL) positioning network, and systematic post-processing of the MBES data using feature matching. The workflow enables autonomous exploration even in difficult terrain, makes ultrashort baseline navigation during the AUV survey obsolete and with this, increases the efficiency of ship time. It provides an efficient workflow for multi-survey mapping campaigns to produce high-resolution, large-coverage seafloor maps. Automated documentation of post-processing steps enhances the archiving of produced results, facilitates knowledge transfer, adaptation to other systems and management of large datasets. Comprehensive documentation allows developing routines that provide a first step towards automatization of AUV operations and MBES data processing.
    Type: Conference or Workshop Item , NonPeerReviewed , info:eu-repo/semantics/conferenceObject
    Format: text
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