Autosit

Autosit

– Autonomous ships, intentions and situational awareness

Multisituation map

Autonomous surface vehicles (ASV’s) must be in possession of situational awareness in order to interact safely with other vessels, whether manned or unmanned. Building on cutting edge research in sensor fusion and collision avoidance, the Autosit project will deliver algorithms for situational awareness that enable ASV’s to guess and predict the intentions of other vessels. These algorithms include long-term vessel prediction based on machine learning, fusion of radar and data from the automatic identification system (AIS), and pose estimation using cameras.

In the Autosea project researchers at NTNU will collaborate closely with the consortium partners DNV GL, KONGSBERG and Maritime Robotics. All the partners contribute by making their own surface vehicles available for the project, and also by making sensors, navigation technology, control systems and general know-how available for the project.