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 Autosit project researchers at NTNU collaborate with the consortium partners DNV GL, KONGSBERG and Maritime Robotics. The partners will contribute by making data, ASV technology and general know-how available for the project. The project is a successor of the Autosea project and goes in parallell with the Autoferry project and the Centre for Research Based Innovation SFI Autoship.