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.


  • July 13, 2022:

    PhD defense of Jaya Shradha Fowdur with the title “Multiple Extended Target Tracking in Maritime Environment Using Marine Radar Data”

  • December 10, 2021:

    PhD defense of Hauke Kaulbersch with the title “Automotive Target Models for Point Cloud Sensors”

  • December 9, 2021:

    PhD defense of Kolja Thormann with the title “Tracking and Fusion Methods for Extended Targets Parameterized by Center, Orientation, and Semi-axes”

  • April 7, 2021:

    Marcus Baum becomes Dean of Studies (Computer Science) for the next three years.

  • March 2, 2021:

    Shishan Yang received the CIDAS Fellowship 2021.

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Publications: Recent Highlight