Data Fusion

Welcome to the Data Fusion Lab!

The Data Fusion Lab was founded by Prof. Dr.-Ing. Marcus Baum in 2015. The group investigates novel methods for sensor data processing and fusion, i.e., signal and image processing, state estimation, and machine learning. A special focus of the group are tracking problems, i.e., the successive localization of one or more mobile objects. A typical application is environment perception of autonomous systems such as intelligent vehicles.


  • May 26, 2020:

    Marcus Baum becomes a member of the Campus-Institut Data Science (CIDAS)

  • March 13, 2020:

    Marcus Baum becomes a member of the newly elected executive committee of the Centre for Statistics

  • November 4, 2019:

    Kick-off meeting of the new project Zukunftslabor Mobilität in Brauschweig, Germany. Within this joint project, we will develop novel methods for the fusion of mobility data.

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Publications: Recent Highlights

  1. Tracking the Orientation and Axes Lengths of an Elliptical Extended Object
    S. Yang and M. Baum
    IEEE Transactions on Signal Processing, vol. 67, no. 18, Sep. 2019.

  2. Linear Programming based Time Lag Identification in Event Sequences
    M. F. Huber, M.-A. Zöller, and M. Baum
    Automatica, vol. 54, no. 12, Dec. 2018.

  3. Extended Object Tracking: Introduction, Overview and Applications
    K. Granström, M. Baum, and S. Reuter
    ISIF Journal of Advances in Information Fusion, vol. 12, no. 2, Dec. 2017.

    Tutorial webpage