EGU24-11618, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-11618
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Diving into the Future: Advanced Ocean Observation with Cost-Effective AI-Enhanced Autonomous Underwater Vehicles

Nicola Madonia1, Lavinio Gualdesi2, Viviana Piermattei3, and Marco Marcelli4
Nicola Madonia et al.
  • 1University of Tuscia, Department of Ecological and Biological sciences DEB, Civitavecchia, Italy (nicola.madonia@unitus.it)
  • 2Independent Researcher, La Spezia, Italy (gualdesi@me.com)
  • 3Euro-Mediterranean Center on Climate Change (CMCC), Lecce, Italy (viviana.piermattei@cmcc.it)
  • 4University of Tuscia, Department of Ecological and Biological sciences DEB, Civitavecchia, Italy (marcomarcell@unitus.it)

Our project addresses the growing demand for extended oceanographic observation network. We are developing an innovative and affordable Autonomous Underwater Vehicle (AUV), named Jolly Oscar, that incorporates artificial intelligence for path determination and destination determination based on marine meteorological conditions. AUVs play a crucial role in marine monitoring by enabling independent exploration of areas that are difficult to access by other platforms. The goal of our approach aims to supply a cost-effective solution compared to existing options, allowing for the acquisition of a fleet of Jolly Oscar vehicles to enhance data collection. Simultaneous data gathering by multiple AUVs not only improves efficiency but also supplies a deeper understanding of marine phenomena. This cost-effective approach enables efficient and extensive spatial coverage, making easier the rapid collection of oceanographic data. Jolly Oscar can be equipped with a different array of interchangeable instrumental packages, including sensors for Conductivity-Temperature-Depth (CTD) and pH, chlorophyll fluorescence, turbidity, passive (hydrophone) and active (side-scan sonar or multibeam sonar) acoustic systems, Acoustic Doppler Current Profiler (ADCP). This versatility is crucial for gathering detailed oceanographic data which are essential for feeding numerical models, deepening our understanding of marine ecosystems, and checking ongoing environmental changes. By developing a cost-effective solution, Jolly Oscar aims to supply broader access to advanced oceanographic exploration. This inclusivity aims to encourage participation and involvement from the scientific community, allowing more researchers to use these technologically advanced tools. This collaborative approach contributes to the global effort of monitoring and understanding the intricate dynamics of our oceans, which is crucial for environmental conservation and responsible marine management.

How to cite: Madonia, N., Gualdesi, L., Piermattei, V., and Marcelli, M.: Diving into the Future: Advanced Ocean Observation with Cost-Effective AI-Enhanced Autonomous Underwater Vehicles, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11618, https://doi.org/10.5194/egusphere-egu24-11618, 2024.