Udo Frese

Udo Frese is assistant professor at the University of Bremen and leads the group for real time computer vision. He is also affiliated with the German Research Centre for Artificial Intelligence in Bremen.

He received his Ph.D. degree from the University of Erlangen–Nuremberg where he studied different aspects of the simultaneous localization and mapping (SLAM) problem. He developed two successful mapping system: TreeMap and Multi-Level Relaxation (MLR). Additionally, he is working in the field of safety algorithms for robots including areas such as collision avoidance.

Together with Cyrill Stachniss and Giorgio Grisetti he is a co-founder of the open source SLAM repository called OpenSLAM.org. Provided by Wikipedia
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  1. 1
    Transparency-Aware Segmentation of Glass Objects to Train RGB-Based Pose Estimators

    Transparency-Aware Segmentation of Glass Objects to Train RGB-Based Pose Estimators by Maira Weidenbach, Tim Laue, Udo Frese

    Published 2024-01-01
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  2. 2
    Resolution enhancement and segmentation of polar bubbly ice micro CT scans via 3D convolutional neural network

    Resolution enhancement and segmentation of polar bubbly ice micro CT scans via 3D convolutional neural network by Faramarz Bagherzadeh, Johannes Freitag, Udo Frese, Frank Wilhelms

    Published 2024-09-01
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  3. 3
    Enhancing Slip, Trip, and Fall Prevention: Real-World Near-Fall Detection with Advanced Machine Learning Technique

    Enhancing Slip, Trip, and Fall Prevention: Real-World Near-Fall Detection with Advanced Machine Learning Technique by Moritz Schneider, Kevin Seeser-Reich, Armin Fiedler, Udo Frese

    Published 2025-02-01
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  4. 4
    Resolution Enhancement of Polar Ice Core Micro CT Scans via Deep Learning: A Comparative Study

    Resolution Enhancement of Polar Ice Core Micro CT Scans via Deep Learning: A Comparative Study by Faramarz Bagherzadeh, Johannes Freitag, Udo Frese, Pouya Tavousi, Frank Wilhelms

    Published 2024-01-01
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  5. 5
    Adapt or Perish? Exploring the Effectiveness of Adaptive DoF Control Interaction Methods for Assistive Robot Arms

    Adapt or Perish? Exploring the Effectiveness of Adaptive DoF Control Interaction Methods for Assistive Robot Arms by Kirill Kronhardt, Stephan Rübner, Max Pascher, Felix Ferdinand Goldau, Udo Frese, Jens Gerken

    Published 2022-02-01
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  6. 6
    Acquisition of Data on Kinematic Responses to Unpredictable Gait Perturbations: Collection and Quality Assurance of Data for Use in Machine Learning Algorithms for (Near-)Fall Detection

    Acquisition of Data on Kinematic Responses to Unpredictable Gait Perturbations: Collection and Quality Assurance of Data for Use in Machine Learning Algorithms for (Near-)Fall Dete... by Moritz Schneider, Kevin Reich, Ulrich Hartmann, Ingo Hermanns, Mirko Kaufmann, Annette Kluge, Armin Fiedler, Udo Frese, Rolf Ellegast

    Published 2024-08-01
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