Autonomous Situation Awareness for Navigation

Project Details

Description

The purpose of this project is to develop techniques to let a computer obtain reliable situation awareness for a vessel at sea. Based on state of art sensor technology, algorithms will interpret information about surroundings and predict behaviours of other vessels. When information confirms deviations from anticipated normal behaviours, algorithms shall predict imminent risks and provide decision support for safe manoeuvring. One aim is that results of risk assessment and risk avoidance can be presented as advice to a human navigator. Another aim is that this information can be presented to an autonomous manoeuvring system that can respond with a plan for immediate manoeuvring to avoid risk of collision or grounding. The project aims to demonstrate the technology at a proof of concept level, first against simulated scenarios at SIMAC, then using live data from one or more vessels in Danish waters.
AcronymASAN
StatusFinished
Effective start/end date01/12/201831/03/2021

Collaborative partners

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 14 - Life Below Water

Keywords

  • autonomous navigation
  • perception in a marine environment
  • anticipation in a marine environment
  • COLREGS
  • collision avoidance
  • collision risk
  • marine navigation
  • machine learning for marine environments
  • object classification at sea

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.