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.


News

  • February 28, 2019:

    Marcus Baum was appointed as Full Professor of Computer Science at the University of Göttingen.

  • June 1, 2018:

    A press relase 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.

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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