If you are a cargo vessel operator dealing with high accident rates and COLREG compliance—this project developed a Decision Support System (DSS) that provides real-time, compliant steering suggestions. This reduces pressure on navigators and lowers the risk of costly collisions.
AI-Powered Collision Avoidance and Maritime Hazard Detection System
Imagine a high-tech safety net for ships that acts like a super-powered set of eyes. It combines radar and sensors to spot everything from hidden rocks to swimming whales in real-time. Instead of the captain guessing, the system suggests the safest path to steer, similar to how a smart car avoids a crash.
What needed solving
High rates of maritime accidents, including collisions and groundings, cause severe economic loss and environmental damage. Navigators often struggle with data overload and slow decision-making when facing obstacles.
What was built
A Decision Support System (DSS) that integrates LADAR and AIS data to suggest COLREG-compliant maneuvers. A digital Gamified Training Module was also created to simulate these scenarios.
Who needs this
Who can put this to work
If you are a conservation agency dealing with vessel strikes on whales—this project developed optimal-tuned pingers to alert cetaceans of approaching ships. This prevents wildlife collisions using sensor-driven detection.
If you are a salvage firm dealing with lost cargo—this project developed mathematical models to predict container drift trajectories. This data is fed into a Navigational Hazard Database to make recovering lost containers faster and easier.
Quick answers
What is the cost or pricing model for the SafeNav system?
Based on available project data, specific pricing or cost details are not provided.
Is the system ready for industrial scale deployment?
The project is developing a Decision Support System (DSS) and testing it with 11 partners across 8 countries, indicating a move toward industrial application, though full scale is not yet confirmed.
Who owns the IP and how is licensing handled?
Based on available project data, the IP and licensing terms are not specified.
How does the system integrate with existing ship hardware?
It integrates multi-sensor data from both proprietary LADAR sensor suites and off-the-shelf sensors already installed on vessels, alongside AIS data.
What is the timeline for the final rollout?
The project period runs from 2022-09-01 to 2025-08-31.
Who built it
The consortium is heavily industry-weighted with a 64% industry ratio, comprising 7 industry partners (including 5 SMEs) and 3 academic/research entities. This strong commercial presence across 8 countries suggests the technology is being developed with direct market application and commercial viability in mind.
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Contact us to explore licensing opportunities for the LADAR-integrated DSS.