The AI system will provide 'human-in-the-loop' advisors with real-time instructions to make maritime operations safer.
Scientists at Texas A&M University have developed an AI system that will help ship captains avoid deadly collisions at sea.The system, called ‘Ship collision avoidance of Machine learning And Radar Technology for Stationary Entities and Avoidance’, or SMART-SEA for short, will reduce ship operators’ reliance on captain experience.
By providing “human-in-the-loop” advisors with real-time instructions, the system will combine human expertise with AI precision to make maritime navigation easier and safer for those involved.Mitigating human error in maritime operationsThe team, led by Dr. Mirjam Fürth, an assistant professor of ocean engineering, developed their system under a one-year contract by the US Department of the Interior and the US Department of Energy through the Ocean Energy Safety Institute . The purpose of SMART-SEA is to reduce collisions caused by human error in maritime navigation. Unlike fully autonomous navigation systems, it will require a “human-in-the-loop” advisor.As Texas A&M University points out in a press statement, collisions between sea vessels and stationary structures such as oil rigs are becoming “increasingly common.”“Many of these collisions are caused by human error,” Fürth added. “By using data to provide seafarers with real-time instructions, we hope to reduce marine collisions.”Due to this increase in sea collisions, the Texas A&M scientists set out to build an AI-powered copilot, despite the fact that there are so many more variables at sea than on the road—and we can barely get an autopilot for working for road vehicles.Large ships have so much forward momentum that their stopping distances are often measured in miles rather than meters. They also turn incredibly gradually, meaning that any collision system has to factor in this slow, lumbering movement. Add ocean currents, wind, sensor time lags, and a host of other factors to the mix, and it’s clear that developing autonomous vessels is far from an easy problem.Combining radar data with advanced machine learningThe A&M team explained that SMART-SEA combines raw radar imaging data with advanced machine learning. The radar imaging allows it to detect moving objects, even in adverse weather conditions. The machine learning algorithm, meanwhile, classifies and identifies stationary objects that could lead to collisions. The AI system uses “state-of-the-art computational fluid dynamics models and machine learning trained on past vessel motions,” the team said in their statement.The logic system that underpins SMART-SEA is based on seafarer experience compiled via focus groups at the Texas A&M Galveston faculty. According to a New Atlas report, it works with a Modified Velocity Obstacle algorithm combined with an Asymmetric Grey Cloud model to assess risks and avoid collisions. It does all of this while complying with International Regulations for Preventing Collisions at Sea .
Artificial Intelligence Machine Learning Marine Navigation Maritime Safety Radar Technology Ship Collision Avoidance
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Travel: This guide can show you how to eat like a local in Mexico CityMexico City native Rocio Vazquez started Eat Like a Local a decade ago after traveling to Istanbul.
Read more »
Choosing the Right Kitchen Mat: A Guide to Comfort and StyleDiscover how to select the perfect kitchen mat for your needs. This guide explores the benefits of cushioned and non-slip mats, material options, size considerations, and design choices to enhance both comfort and the aesthetics of your kitchen. Learn about anti-fatigue features, cleaning tips, and how to find the ideal mat for your space and lifestyle.
Read more »
Teens' Question Guide for Deliberate Decision-MakingDeliberate decision-making is a foundational skill that all teens need.
Read more »
Taylor Frankie Paul’s Family Guide: Meet Her Exes and 3 KidsTaylor Frankie Paul's family guide explores her relationships with exes Tate Paul and Dakota Mortensen and her three kids
Read more »
The Decade-By-Decade Guide To Eating For Lifelong Strength, From The ExpertsConsider this the ultimate guide to nutrition for each season of life
Read more »
How to Stand Out to C‑Suite RecruitersA guide to how executive search firms assess candidates.
Read more »