Data Fusion in Networks Group
Our group is part of the Intelligent Sensor-Actuator-Systems (ISAS) Laboratory. We are interested in data fusion for networked multisensor systems including distributed and decentralized state estimation, Kalman filtering with event-based and asynchronous communication, and state estimation for large-scale systems.
In particular, we investigate:
- Robust Kalman filtering
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- quantification of uncertainties
- combination of stochastic and unknown but bounded noise models
- Fusion under unknown dependencies
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- conservative bounds on unknown correlations
- parameterization of dependencies in nonlinear estimation
- Large-scale state estimation
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- estimation methods for spatially distributed systems
- fusion of heterogeneous estimates
- Estimation with communication constraints
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- event-based state estimation
- filtering of quantized and asynchronous measurements
Group Leader
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Benjamin Noack Group Leader |
