2023_programme: REP(MUS)22/DYMS22: Naval Mine Warfare CMRE contributions

• Session: 15. Towards Automatic Target Recognition. Detection, Classification and Modelling
  Organiser(s): Johannes Groen, Yan Pailhas, Roy Edgar Hansen, Jessica Topple and Narada Warakagoda
• Lecture: REP(MUS)22/DYMS22: Naval Mine Warfare CMRE contributions [invited]
  Paper ID: 1886
  Author(s): Pailhas Yan, Furfaro Thomas, Strode Christopher, Berthomier Thibaud, Vasoli Simone, Xenaki Angeliki, D'Ales Benoit
  Presenter: Pailhas Yan
  Abstract: The CMRE Autonomous Naval Mine Counter Measures (ANMCM) program participated to the two exercises REP(MUS)22 and DYMS22 in September 2022. The two exercises took place out of the coast of Portugal near Sesimbra. For this occasion, CMRE brought two of its AUVs to show case the advances and the development made at the Centre in the naval mine warfare (NMW) domain. The two autonomous vehicles were to conduct MCM operations in collaboration. The first asset, MUSCLE AUV, is equipped with a high resolution SAS for large area survey. The planning of the mission was entirely automatic thanks to our new framework, which optimizes the overall coverage while minimizing mission time. On board, novel adaptive ATRs tune to the seabed types and extract auxiliary information on the target and its environment. The contact locations and additional parameters were then automatically transmitted to the second asset, BIONDo AUV, via CATL (Collaborative Autonomy Tasking Layer) messaging protocol developed to enable interoperability between vastly heterogeneous assets. The BIONDo was then automatically tasked to identify the contact with a high resolution acoustic camera. Lastly, automatic human readable mission reports were generated in situ assessing the performance and success rate of the full-automated mission process.
• Corresponding author: Dr Yan Pailhas
  Affiliation: CMRE
  Country: Italy
  e-mail: