SMART-SEA: Collision Avoidance through Radar Image Recognition, Maneuvering
modelling and Machine Learning
Overview:
Researchers at the Fürth Lab at the Texas A&M University Department of Ocean
Engineering are developing an exciting new system called SMART-SEA
that uses radar and machine learning to help ships avoid collisions with offshore structures by giving
real-time guidance on how, and when, to steer safely. It could make the seas much safer for everyone.
SMART-SEA works by processing raw radar images, coupled with a tiered maneuvering model, to suggest the best
maneuvers for captains. It has already been tested on a research vessel with promising early results. The
team, which includes ocean engineers and former mariners, hope to continue improving the system so it can be
used on more types of vessels and in all weather conditions.
Curious about how cutting-edge technology could reduce boating accidents? Want to know about modern
opportunities for maritime navigation? Sign up for this webinar! Learn more about this innovative research
and what it could mean for the future of marine safety.
Sign up today!
Register
Today!
Date & Time: May 19, 2026 1300-1400 ET
Audience: Anyone involved with research and development, design, engineering, construction,
maintenance, modernization and operation of maritime technologies or maritime navigation systems.
Virtual Course Format: This presentation and discussion will occur in Microsoft Teams. If you do not
have Teams, you will be able to view this event in your browser.
Enrollment Fee: FREE!
Professional Development Hours: 1.00 Hour (free for ASNE Members or $40 for nonmembers). Please
use the ASNE PDH form and send it to education@navalengineers.org.)
Questions: Please email education@navalengineers.org or call ASNE HQ at (703)
836-6727.
Speaker Biography
Mirjam Fürth, Ph.D., is an Assistant
Professor in the Department of Ocean Engineering at Texas A&M University, where her research focuses on
numerical and experimental hydrodynamics; of high-speed craft, marine vessels, offshore wind farms and
robotic fish. Her area of expertise covers scaled and full scale experiments, Computational Fluid
Dynamics, and Machine Learning of Fluid Structure Interactions. Dr. Fürth holds a M.Sc. in Naval
Architecture from KTH, Sweden, and a Ph.D. in Hydrodynamics from the University of Southampton, United
Kingdom. Prior to joining Texas A&M University, she was an Assistant Professor at Stevens Institute of
Technology and the Davidson Lab, and prior to that, she did her Post doc at Yokohama National
University, Japan.
Dr. Fürth has served as PI on projects totaling over $2.5 million dollars funded by agencies such as the
Office of Naval Research, Department of Energy and the Department of Interior. Dr. Fürth has published
over 50 peer reviewed publications in leading venues in the field. In 2023, she was a co-editor of a
special issue of Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering
for the Maritime Environment on ‘Marine Hydrodynamics for Innovative Design’.
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