Working group: data fusion

Data Fusion

Welcome to the Research Group for Data Fusion!

The group is concerned with stochastic methods for (sensor) data and information fusion including related problems in nonlinear estimation and data analytics. A special focus of the group are tracking problems, i.e., the successive localization of one or more mobile objects.

More details...


  • June 8, 2018
    A press release about our cooperation with the DLR, Institute of Transportation Systems in the area of „Sensordatenfusion und Objektverfolgung in der Verkehrsüberwachung“ has been published.

  • November 17, 2017
    The paper "A Survey of Performance Measures to Evaluate Ego-Lane Estimation and A Novel Sensor-Independent Measure Along with Its Applications" by T. T. Nguyen, J. Spehr, J. Xiong, M. Baum , S. Zug, and R. Kruse receives the Best Poster Paper Award at MFI 2017 in Daegu, South Korea.

  • July 12, 2017
    2017 ISIF Young Investigator Award
    Marcus Baum receives the ISIF Young Investigator Award sponsored by the International Society of Information Fusion (ISIF). The annual award grants international recognition for outstanding contributions to the art of information fusion by a young ISIF member. This year, the award was presented by Prof. Yaakov Bar-Shalom at the 20th International Conference on Information Fusion 2017 in Xi'an, China, on July 12.

  • April 27 - 28, 2017
    The Data Fusion Group organized the Clausthal-Göttingen International Workshop in Simulation Science. With approx. 70 participants and 39 presentations, the workshop was a huge success! For more details, see the press release.