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Architecture of a Low-Cost Solution for ROVs to Improve Navigation and Data Collection

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Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference (DCAI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 741))

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Abstract

The documentation, conservation, and preservation of underwater archaeological sites is conventionally performed by divers in shallow waters. However, when dealing with significant depths, the sites can be inaccessible for humans, presenting significant challenges and risks, making these activities hazardous. Recently, the use of robotic platform such as remotely operated vehicles (ROVs) allows to overcome the difficulty of such a harsh environment. Nevertheless, professional-grade ROVs employed for this purpose are expensive and specifically designed with integrated advanced sensor systems for data acquisition and navigation. In the context of the MSCA-RISE H2020 Technological Consortium TO develop sustainability of underwater Cultural heritage (TECTONIC) project, a solution consisting of an optical payload and an acoustic localization system for low-cost ROV, was defined in order to support ROV pilots during documentation and monitoring activities. The project aims to preserve underwater cultural heritage (UCH) encompassing the selection of a commercially available ROV and the definition of a customized hardware/software (HW/SW) architecture. After market research, a suitable commercial off-the-shelf (COTS) low-cost ROV was defined and used as the foundation for integration. Mechanical, electric, and data interface modules were designed to seamlessly integrate and manage the sensor suite. The results of the integration demonstrate the potential of the chosen algorithms and the sensor suite for improved navigation and data collection in challenging underwater environments, where high-grade and expensive sensors are not available, thereby making more accessible the field of underwater survey missions.

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Acknowledgments

This research has been supported by the project “Technological Consortium TO develop sustainability of underwater Cultural heritage (TECTONIC)”, financed by the European Union (Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 873132).

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Authors and Affiliations

  1. Department of Mechanical, Energetic and Management Engineering, University of Calabria, 87036, Arcavacata di Rende, Italy

    Umberto Severino, Santina Fortuna, Antonio Lagudi & Fabio Bruno

  2. Faculty of Electrical Engineering and Computing, University of Zagreb, 10 000, Zagreb, Croatia

    Nikola Mišković

  3. H2O Robotics Ltd, 10 000, Zagreb, Croatia

    Vladimir Djapic

  4. Institute for Artificial Intelligence Research and Development, 21000, Novi Sad, Serbia

    Vladimir Djapic

Authors
  1. Umberto Severino
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  2. Santina Fortuna
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  3. Antonio Lagudi
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  4. Fabio Bruno
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  5. Nikola Mišković
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  6. Vladimir Djapic
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Corresponding author

Correspondence to Umberto Severino .

Editor information

Editors and Affiliations

  1. High Performance Computing Center, King Abdulaziz University, Jeddah, Saudi Arabia

    Rashid Mehmood

  2. University of Minho, Braga, Portugal

    Victor Alves

  3. ISEP/GECAD, Instituto Superior de Engenharia do Port, Porto, Portugal

    Isabel Praça

  4. Kielce University of Technology, Kielce, Poland

    Jarosław Wikarek

  5. BISITE, University of Salamanca, Salamanca, Spain

    Javier Parra-Domínguez

  6. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Roussanka Loukanova

  7. Universidad de Valladolid, Valladolid, Spain

    Ignacio de Miguel

  8. INESC-TEC and GECAD/ISEP, Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Tiago Pinto

  9. Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Ricardo Nunes

  10. University of Calabria, Arcavacata, Rende CS, Cosenza, Italy

    Michela Ricca

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Severino, U., Fortuna, S., Lagudi, A., Bruno, F., Mišković, N., Djapic, V. (2023). Architecture of a Low-Cost Solution for ROVs to Improve Navigation and Data Collection. In: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-031-38318-2_22

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