<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/D60EA636-A4DA-4D1F-8737-E57514D2BC44" ns1:id="D60EA636-A4DA-4D1F-8737-E57514D2BC44"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/AEF25566-250F-434B-A2B8-2A131F597F08" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E705CC7F-43C9-489B-9AC3-35BDD312CE34" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E705CC7F-43C9-489B-9AC3-35BDD312CE34" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-08-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/DD2C681D-4E5D-4213-9881-CD802FE7EFFA" ns1:rel="FUND" ns1:start="2022-08-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10038866</ns2:identifier></ns2:identifiers><ns2:title>SafeNav - Safer Navigation and Tackling Container Fires under Horizon Europe Framework</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>EU-Funded</ns2:grantCategory><ns2:leadFunder>Horizon Europe Guarantee</ns2:leadFunder><ns2:abstractText>SafeNav’s ambition is to develop and test a highly innovative digital collision prevention solution that will significantly reduce the probability of collisions, impact damage, grounding, and contribute to safer navigation by a) faster reliable real-time detection of a variety of obstacles (other vessels, fixed installations, submerged/semi-submerged objects, and marine mammals) in the marine environment, using data from state-of-the-art sensors and other relevant sources, and b) effective visual representation of the multi-source data to the navigators for quick COLREG-based decision-making support. To this end, SafeNav unites 10 key partners from the maritime industry and academia, including renowned SMEs, R&amp;amp;D institutes and universities to address the ‘Navigational Accidents’ aspect of the work programme . We will design collision avoidance algorithms built on multi-sensory data input from propriety (LADARTM sensor suite) and off-the-shelf sensors already installed on vessels, extensive statistics of navigational accidents, and other sources (AIS and route exchange services) to create a holistic decision support system (DSS). Processed information from the automatic DSS will feed into SafeNav collision-avoidance algorithms and generate real-time COLREGs-compliant suggestions for the navigator when an obstacle is detected. This reduces pressure on navigators onboard, providing them with efficient decision-making aid and access to visual navigation data on a single graphical user-interface. Sensors will also be used for container tracking, and mathematical models will predict container drift trajectory, transmitting collected data to a SafeNav Navigational Hazard Database available to nearby vessels/ stakeholders, facilitating the recovery of lost containers. Moreover, we propose to prevent vessel collisions with cetaceans with optimaltuned pingers to alert them of an approaching vessels.</ns2:abstractText></ns2:project>