Autonomous surface vehicles (ASV’s) need to 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 vehicles. 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.
Project leader: Edmund Førland Brekke
Institution: NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU