Data FusionData fusion
is the process of putting together information obtained from many heterogeneous
sensors, on many platforms, into a single composite picture of the environment.
The partners have a considerable track record in data fusion for both military
and robotic applications, especially in information-theoretic decentralised
data fusion methods pioneered in the group. Data fusion research will focus on:
- The development of novel sensor-centric data fusion models appropriate to
fusion of disparate range and image data;
- Fusion of complex,
information-rich, probabilistic representations of geometric and physical
properties; and
- development of endogenous data fusion and communication
algorithms appropriate to large-scale distributed sensor networks.
Data fusion
research will be led by Hugh Durrant-Whyte, an ARC Federation Fellow. |