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Bjoern M. Eskofier
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Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach


Oct 07, 2022
Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler

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* Submitted to IEEE Transactions on Machine Learning in Communications and Networking 
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How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies


Mar 16, 2022
Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler

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* 8 pages, 5 figures 
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An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility


Mar 15, 2022
Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler

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* 8 pages, 2 figures 
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Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements


Feb 24, 2021
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier

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* 16 pages, 6 figures, submitted to Elsevier Medical Image Analysis on Feb 11, 2021 
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Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee


Jul 09, 2020
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier

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* 10 pages, 2 figures, 2 tables, accepted at MICCAI 2020 
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Stride Length Estimation with Deep Learning


Mar 09, 2017
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Bjoern M. Eskofier

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Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks


Jan 13, 2017
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Karl-Günter Gaßmann, Jochen Klucken, Bjoern M. Eskofier

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* in IEEE Journal of Biomedical and Health Informatics (2016) 
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