Sensor 1. +. Sensor 2. +. Sensor 3. +. Sensor 4. Sensor 1. +. Sensor 2. Sensor 3. MULTISENSOR FUSION. Centralised Impractical Not scalable best. Architecture (US-JDL/UK-TFDF) Feature Space (Data representations, Task-specific, feedback) Dimensionality
(Communication bandwidth constraints,
High Low, increase SnR)
(product rule dominated by low probability errors)
Effective Sensor Fusion requires key elements:
How does the Brain deal with the same problems?
Apart from very low level (cellular/subcellular) and very high level binding, the brain appears to leave data sources fragmented. Why?
(interesting clinical exception in synaesthesia! – do we learn ICA?)