AI-Prepared Autonomous Freshwater Monitoring and Sea Ground Detection by an Autonomous Surface Vehicle
(2023) In Remote Sensing 15(3).- Abstract
Climate change poses special and new challenges to inland waters, requiring intensive monitoring. An application based on an autonomous operation swimming vehicle (ASV) is being developed that will provide simulations, spatially and depth-resolved water parameter monitoring, bathymetry detection, and respiration measurement. A clustered load system is integrated with a high-resolution sonar system and compared with underwater photogrammetry objects. Additionally, a holistic 3D survey of the water body above and below the water surface is generated. The collected data are used for a simulation environment to train artificial intelligence (AI) in virtual reality (VR). These algorithms are used to improve the autonomous control of the ASV.... (More)
Climate change poses special and new challenges to inland waters, requiring intensive monitoring. An application based on an autonomous operation swimming vehicle (ASV) is being developed that will provide simulations, spatially and depth-resolved water parameter monitoring, bathymetry detection, and respiration measurement. A clustered load system is integrated with a high-resolution sonar system and compared with underwater photogrammetry objects. Additionally, a holistic 3D survey of the water body above and below the water surface is generated. The collected data are used for a simulation environment to train artificial intelligence (AI) in virtual reality (VR). These algorithms are used to improve the autonomous control of the ASV. In addition, possibilities of augmented reality (AR) can be used to visualize the data of the measurements and to use them for future ASV assistance systems. The results of the investigation into a flooded quarry are explained and discussed. There is a comprehensive, high-potential, simple, and rapid monitoring method for inland waters that is suitable for a wide range of scientific investigations and commercial uses due to climate change, simulation, monitoring, analyses, and work preparation.
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- author
- Pose, Sebastian ; Reitmann, Stefan LU ; Licht, Gero Jörn ; Grab, Thomas and Fieback, Tobias
- publishing date
- 2023-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- artificial intelligence, ASV, photogrammetry, scientific diving, sonar, water monitoring
- in
- Remote Sensing
- volume
- 15
- issue
- 3
- article number
- 860
- publisher
- MDPI AG
- external identifiers
-
- scopus:85147917084
- ISSN
- 2072-4292
- DOI
- 10.3390/rs15030860
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2023 by the authors.
- id
- 77ad12a8-a490-4187-aa6c-350ec668f5ae
- date added to LUP
- 2023-04-12 15:05:52
- date last changed
- 2023-04-13 15:00:19
@article{77ad12a8-a490-4187-aa6c-350ec668f5ae,
abstract = {{<p>Climate change poses special and new challenges to inland waters, requiring intensive monitoring. An application based on an autonomous operation swimming vehicle (ASV) is being developed that will provide simulations, spatially and depth-resolved water parameter monitoring, bathymetry detection, and respiration measurement. A clustered load system is integrated with a high-resolution sonar system and compared with underwater photogrammetry objects. Additionally, a holistic 3D survey of the water body above and below the water surface is generated. The collected data are used for a simulation environment to train artificial intelligence (AI) in virtual reality (VR). These algorithms are used to improve the autonomous control of the ASV. In addition, possibilities of augmented reality (AR) can be used to visualize the data of the measurements and to use them for future ASV assistance systems. The results of the investigation into a flooded quarry are explained and discussed. There is a comprehensive, high-potential, simple, and rapid monitoring method for inland waters that is suitable for a wide range of scientific investigations and commercial uses due to climate change, simulation, monitoring, analyses, and work preparation.</p>}},
author = {{Pose, Sebastian and Reitmann, Stefan and Licht, Gero Jörn and Grab, Thomas and Fieback, Tobias}},
issn = {{2072-4292}},
keywords = {{artificial intelligence; ASV; photogrammetry; scientific diving; sonar; water monitoring}},
language = {{eng}},
number = {{3}},
publisher = {{MDPI AG}},
series = {{Remote Sensing}},
title = {{AI-Prepared Autonomous Freshwater Monitoring and Sea Ground Detection by an Autonomous Surface Vehicle}},
url = {{http://dx.doi.org/10.3390/rs15030860}},
doi = {{10.3390/rs15030860}},
volume = {{15}},
year = {{2023}},
}