Autonomous Technology To Prevent Collisions At Sea

The US Navy is considering installing autonomous technology currently used on crewless ships on warships driven by sailors as a way to improve safety on the high seas.  These are methods based on Artificial Intelligence, data-driven methods based on Machine Learning, and other Data Science approaches are investigated to provide a comprehensive overview of maritime collision avoidance techniques applicable to Maritime Autonomous Surface Ships. 

Right now, the US Navy is testing uncrewed, autonomous ships and submarines, which officials consider a necessary piece of the fleet for the future. 

While the Navy was unlikely to pursue a formal program for unmanned surface vessels in the next five years, preferring  instead to focus on the on the enabling technologies first. The idea of embracing autonomous vessels to create sustainable development and shape new opportunities for water transportations in the industry is getting feasible. As the technological barriers are resolved in numerous studies, autonomous vessels have been drawing significant attention recently. 

For autonomous vessels, the collision avoidance system (CAS) and the control system are two fundamental systems, which are closely related with vessel movements and safety performance. 

Installing autonomous and machine-learning technology on a crewed ship could be one way to prove the technology works and the Navy is consequently considering installing autonomous technology currently used on crewless ships on warships driven by sailors as a way to improve safety and avoid collisions on the high seas.

The Navy has asked shipbuilding companies for proposals on the ways these types of bridge decision aid technologies could support safe navigation in Navy ships and submarines. Installing this tech inside the bridge of crewed ships could build user trust in the decision-aid solutions has been said to work. 

The Engineer:    ResearchGate:   I-HLS:     DefenseOne:    Hindawi:  

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