Strohbeck Jan, M. Sc.

Research

  • Usage of infrastructure sensors for motion prediction of traffic participants using deep neural networks
  • Unceratainty estimation for motion prediction of traffic participants using deep neural networks
  • EU-funded project ICT4CART

Teaching

Publications

List of publications

Conference articles
  1. J. Strohbeck, V. Belagiannis, J. Müller, M. Schreiber, M. Herrmann, D. Wolf and M. Buchholz, "Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks," Accepted for publication at the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), LV, 2020
  2. M. Herrmann, A. Piroli, J. Strohbeck, J. Müller and M. Buchholz, "LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association," 2020 IEEE International Conference on Multisensor Fusion and Integration (MFI 2020), 2020
  3. M. Herrmann, J. Müller, J. Strohbeck and M. Buchholz, "Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter *," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 2414-2420.
    doi: 10.1109/ITSC.2019.8916923
    URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8916923&isnumber=8916833
  4. J. Müller, M. Herrmann, J. Strohbeck, V. Belagiannis and M. Buchholz, "LACI: Low-effort Automatic Calibration of Infrastructure Sensors," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 3928-3933.
    doi: 10.1109/ITSC.2019.8917310
    URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8917310&isnumber=8916833

Position

Research Assistant

Contact

Strohbeck Jan, M. Sc.
Room: 41.2.216
Phone: +49 (0)731 50 27026
E-Mail | Homepage

Office hours

On appointment