Project description
Improving navigation for ships
Technology has long tried to simplify navigation on board and allow monitoring from ashore in order to increase maritime safety. The EU-funded PREParE SHIPS project aims at the development and demonstration of a collaborative resilience navigation solution. It plans to advance and enhance existing software solutions by exploiting the distinguished features of Galileo signals and also combine other nautical information on internal as well as external parameters and sensor technologies. This improved navigation system increases safety and efficiency significantly, and is intended to become the base of future autonomous operations. PREParE SHIPS will also implement perception layer sensor fusion that uses historical information gathered from the ship in similar conditions based on machine learning hybrid models.
Objective
The objective of the project ‘PREParE SHIPS’ is the development and demonstration of a collaborative resilience navigation solution. It aims to develop and enhance existing software solution by exploiting the distinguished features of Galileo signals as well as combining it with other nautical information on internal as well as external parameters and sensor technologies. The final navigation decision support tool implemented consists of collaborative exchange by ship2ship communication of dynamically predicted future position based on resilient position from Galileo receivers. This will increase safety and efficiency significantly and will be the base of future autonomous operations.
Besides the use of vessel on board sensors, ‘PREParE SHIPS’ will also make use of data learning of earlier ship behaviour to exchange near-future positions with vessels in the vicinity and VTS centers (Vessel Traffic Services) to increase safety and improve decision making. In order to define the correct requirements for the PREParE SHIPS combined positioning solution, a collaborative automated vessel application will be defined and developed. The vessel application will rely on the high availability positioning solution and use it to couple its various navigational systems with ship2ship/ ship2shore and aggregate information received from other connected vessels. As there will be a transition period where a lot of vessels are neither connected nor automated, solutions having high impact during low penetration are in focus. ‘PREParE SHIPS’ will implement and demonstrate a fairway geo-fencing with high precision positioning taking into account various data sources (e.g. wind and current) as well as a traffic monitoring and predicted positions so it can allow for safe decisions based on robust data. This means that ‘PREParE SHIPS’ also will implement perception layer sensor fusion that uses information collected historically in similar conditions based on machine learning-hybrid models.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
You need to log in or register to use this function
Keywords
Programme(s)
Call for proposal
(opens in new window) H2020-SPACE-EGNSS-2019-2020
See other projects for this callSub call
H2020-SPACE-EGNSS-2019
Funding Scheme
IA - Innovation actionCoordinator
501 15 Boras
Sweden