Fusion 2010 will cover the fusion of structured and unstructured data from heterogeneous sources, a process which enables people and organisations to make informed decisions through high quality knowledge.

Topics of interest include but are not limited to the following:

1. Methodologies:
probability theory
Bayesian inference (including particle filters, MCMC and other non-numeric approximation schemes)
fuzzy sets and fuzzy logic
Dempster-Shafer, evidential reasoning and belief functions
random sets

2. Algorithmic Domains:
registration
detection
automatic target recognition and classification
nonlinear filtering, tracking and data association
situation assessment (including prediction, pattern and behavioural analysis)
process and sensor resource management

3. Solution Paradigms
sequential inference
data mining
machine learning (including neural networks)
ontologies

4. Sensor Specific Processing and Fusion
imagery and video
radar
passive sensors

5. Modelling, Simulation and Evaluation:
target and sensor modelling
benchmarks
test beds
fusion performance evaluation

6. Application Domains
distributed sensor networks
defence and intelligence
security
robotics
transportation and logistics
economics and financial
environmental and medical