Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP200301507
Funding Status
Active
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Funded Activity Summary
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly.Funded Activity Details
Start Date: 09-2022
End Date: 08-2025
Funding Scheme: Linkage Projects
Funding Amount: $396,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Electrical and Electronic Engineering | Signal Processing | Stochastic Analysis and Modelling |
