Main research areas

• Situation analysis and interpretation in highway and urban traffic scenarios
• Multi-modal, context-based and interaction-aware situation prediction (coupled trajectory prediction of all road users)
• Studies on the interaction and coupling between planning and prediction methods (model- and data-based)

Conference contributions and presentations

2024

• Palmer, P., M. Krüger, R. Altendorfer and T. Bertram: "Multi-Object Tracking based on Imaging Radar 3D Object Detection", ATZ Conference Automated Driving, Frankfurt, Germany March 2024
• Palmer, P., M. Krüger, S. Schütte, R. Altendorfer, G. Adam and T. Bertram : "LEROjD: Lidar Extended Radar-Only Object Detection", ECVA European Conference on Computer Vision (ECCV), Milan, Italy October 2024

2023

• Palmer, P., M. Krueger, R. Altendorfer and T.. Bertram: "Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection", Automotive meets Electronics (AmE), Dortmund, Germany, June 2023
• Palmer, P., M. Krueger, R. Altendorfer. G. Adam and T. Bertram: "Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar", CVF/ IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - Workshop on 3D Vision and Robotics, Vancouver, Canada, June 2023
• Diehl, C., J. Adamek, M. Krueger, F. Hoffmann and T. Bertram: "Differentiable Constrained Imitation Learning for Robot Motion Planning and Control", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Workshop on Traffic Agent Modeling for Autonomous Driving Simulation, Detroit, USA, October 2023
• Diehl, C., T. Klosek, M. Krueger, N. Murzyn, T. Osterburg, T. Bertram: "Energy-based Potential Games for Joint Motion Forecasting and Control", Conference on Robot Learning (CoRL), Atlanta, USA, November 2023

2021

• Diehl C., T. Sievernich, M. Krüger, F. Hoffmann, T. Bertam: UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning, Advances in Neural Information Processing Systems - Machine Learning for Autonomous Driving Workshop (NeuRIPS 2021 ML4AD)
  2021

2020

• Krüger, M., A. Stockem Novo, T. Nattermann, T. Bertram: Interaction-Aware Trajectory Prediction based on a 3D Spatio-Temporal Tensor Representation using Convolutional-Recurrent Neural Networks, 31st IEEE Intelligent Vehicles Symposium (IV),
  20.10.2020

2019

• Krüger, M., A. Stockem Novo, T. Nattermann and T. Bertram: Probabilistic Lane Change Prediction using Gaussian Process Neural Networks, IEEE International Conference on Intelligent Transportation Systems (ITSC), Auckland, New Zealand
  October 2019
• Krüger, M., A. Stockem Novo, T. Nattermann, M. Mohamed and T. Bertram: Reducing Noise in Label Annotation: A Lane Change Prediction Case Study, IFAC Symposium on Intelligent Autonomous Vehicles (IAV), Gdansk, Poland
  July 2019
• Stannartz, N., C. Wissing, M. Krüger, A. Tolmidis, S. Ali, T. Nattermann and T. Bertram: Ego-Motion Correction based on Static Objects detected by an Automotive Lidar Sensor System, Automotive meets Electronics (AmE), Dortmund
  March 2019
• Krüger, M., A. Stockem Novo, T. Nattermann, M. Mohamed and T. Bertram: Environmental Model Extension for Lane Change Prediction with Neural Networks, International Stuttgart Symposium (ISS), Stuttgart, Germany
  March 2019

2018

• Schmidt, M., C. Lienke, M. Oeljeklaus, M. Krüger, T. Nattermann, M. Mohamed, F. Hoffmann and T. Bertram: Lane Recognition with Deep Learning for Automated Driving Functions, 28th Workshop Computational Intelligence, Dortmund, Germany
  November 2018

• Krüger, M., A. Stockem Novo, T. Nattermann, K.-H. Glander and T. Bertram: Lane Change Prediction Using Neural Networks Considering Classwise Non-uniformly Distributed Data, Automotive meets Electronics (AmE), Dortmund, Germany
  March 2018

2017

• Krüger, M., S. Meuresch, A. Stockem Novo, T. Nattermann, K.-H. Glander, C. Haß and T. Bertram: Method and Test for the Use of Neural Networks for Driving Situation Analysis in Automated Driving, VDI/VDE Mechatronics Conference 2017, Dresden, Germany
  March 2017

2016

• Krüger, M., S. Meuresch, A. Stockem Novo, T. Nattermann, K.-H. Glander and T. Bertram: Structural analysis of a neural network for lane change prediction for automated driving, 26th Workshop Computational Intelligence, Dortmund, Germany
  September 2016

Journal and book contributions

2023

• Diehl, C., T. Sievernich, M. Krüger, F. Hoffmann, T. Bertram: "Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving", IEEE Robotics and Automation Letters (RA-L), 2023

2022

• Krüger, M., P. Palmer, C. Diehl, T. Osterburg, T. Bertram: "Recognition Beyond Perception: Environmental Model Completion by Reasoning for Occluded Vehicles", IEEE Robotics and Automation Letters (RA-L), 2022.
• Stockem Novo, A., M. Krüger , M.Stolpe and T. Bertram: A Review on Scene Prediction for Automated Driving, Physics 2022, 4, 132-159. https://doi.org/10.3390/physics4010011
  February 1, 2022

2019

• Schmidt, M., M. Krüger, C. Linke, M. Oeljeklaus, T. Nattermann, M. Mohamed, F. Hoffmann and T. Bertram: Lane detection with deep learning for automated driving functions, at - Automatisierungstechnik, Vol. 67, No. 10, pp. 866-878
  September 2019

Student research projects / Bachelor's / Master's theses

• P. Palmer:
  Investigation of the influence of data preprocessing on lane change detection for different architectures of neural networks,
  Bachelor's thesis at the Chair of Control Systems Engineering at Dortmund University of Technology,
  July 2018.
  Supervision: M. Krüger, T. Bertram
• N. Stannartz:
  LIDAR-based Ego-Localization in high-precision Maps,
  Masterthesis am Lehrstuhl für Regelungssystemtechnik der Technischen Universität Dortmund,
  April 2018.
  Supervision: C. Wissing,M. Krüger,T. Bertram
• C. Schüler:
  Bildbasierte Erkennung der Straßentopologie zur Erweiterung automatisierter Fahrfunktionen,
  Bachelorthesis am Lehrstuhl für Regelungssystemtechnik der Technischen Universität Dortmund,
  February 2018.
  Supervision: M. Schmidt,M. Krüger,T. Bertram
• F. Friedrich:
  Development of a trajectory prediction based on a lane change probability for foreign vehicles in highway scenarios,
  Bachelorthesis at the Chair of Control Systems Engineering at Dortmund University of Technology,
  July 2017.
  Supervision: C. Wissing, M. Krüger, T. Bertram
• J. Schmitz:
  Development of an interactive trajectory prediction based on a potential field approach for foreign vehicles in highway scenarios,
  Bachelorthesis at the Chair of Control Systems Engineering at Dortmund University of Technology,
  July 2017.
  Supervision: C. Wissing,M. Krüger,T. Bertram