ARC Future Fellowships - Grant ID: FT210100506

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT210100506

Funding Status
Active

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Funded Activity Summary

A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.

Funded Activity Details

Start Date: 30-06-2022

End Date: 29-06-2026

Funding Scheme: ARC Future Fellowships

Funding Amount: $1,011,851.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Electrical and Electronic Engineering | Signal Processing | Stochastic Analysis and Modelling |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Engineering | Expanding Knowledge in Technology

Other Keywords

Electrical and Electronic Engineering | Expanding Knowledge in Engineering | Expanding Knowledge in Technology | Signal Processing | Stochastic Analysis and Modelling

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