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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

  • quantification of uncertainties
  • combination of stochastic and unknown but bounded noise models

Fusion under unknown dependencies

  • conservative bounds on unknown correlations
  • parameterization of dependencies in nonlinear estimation

Large-scale state estimation

  • estimation methods for spatially distributed systems
  • fusion of heterogeneous estimates

Estimation with communication constraints

  • event-based state estimation
  • filtering of quantized and asynchronous measurements
Group Members
Portrait Name E-Mail Job Description
noackCrj9∂kit edu Group Leader
susanne radtkeMdr3∂kit edu  
pfaffOno1∂kit edu  
daniel frischNxu4∂kit edu Multilateration