Discovery Projects - Grant ID: DP0345215

Funding Activity

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Funded Activity Summary

Stochastic Geometry for Multi-sensor Data Fusion System. The aim of this project is to develop efficient algorithms for tracking and sensor management in a multi-sensor multi-target environment. Finite random set theory provides a natural way of representing a random number of (random) object states, an issue that has been largely ignored in the tracking literature until recently. Although a satisfactory foundation for multiple object filtering has been provided by random set theory, in this early stage no algorithm capable of tracking many targets has emerged from this framework. We are confident that efficient algorithms can be developed by exploiting the insights and mathematical tools of stochastic geometry

Funded Activity Details

Start Date: 01-01-2003

End Date: 31-12-2006

Funding Scheme: Discovery Projects

Funding Amount: $270,000.00

Funder: Australian Research Council