Martin Krüger

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 14

Top Topics

Partial Observability

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

INFORMS J. Appl. Anal.

Publications

Patrick Palmer, Martin Krüger, Richard Altendorfer, Torsten Bertram
Multi-Object Tracking based on Imaging Radar 3D Object Detection. CoRR (2024)
Patrick Palmer, Martin Krüger, Richard Altendorfer, Ganesh Adam, Torsten Bertram
Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar. CoRR (2023)
Christopher Diehl, Tobias Klosek, Martin Krüger, Nils Murzyn, Torsten Bertram
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions. CoRR (2023)
Patrick Palmer, Martin Krüger, Richard Altendorfer, Torsten Bertram
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection. CoRR (2023)
Christopher Diehl, Tobias Klosek, Martin Krüger, Nils Murzyn, Timo Osterburg, Torsten Bertram
Energy-based Potential Games for Joint Motion Forecasting and Control. CoRR (2023)
Christopher Diehl, Tobias Klosek, Martin Krüger, Nils Murzyn, Timo Osterburg, Torsten Bertram
Energy-based Potential Games for Joint Motion Forecasting and Control. CoRL (2023)
Christopher Diehl, Timo Sievernich, Martin Krüger, Frank Hoffmann, Torsten Bertram
Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving. IEEE Robotics Autom. Lett. 8 (2) (2023)
Martin Krüger, Patrick Palmer, Christopher Diehl, Timo Osterburg, Torsten Bertram
Recognition Beyond Perception: Environmental Model Completion by Reasoning for Occluded Vehicles. IEEE Robotics Autom. Lett. 7 (4) (2022)
Christopher Diehl, Janis Adamek, Martin Krüger, Frank Hoffmann, Torsten Bertram
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control. CoRR (2022)
Christopher Diehl, Timo Sievernich, Martin Krüger, Frank Hoffmann, Torsten Bertram
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning. CoRR (2021)
Martin Krüger, Anne Stockem Novo, Till Nattermann, Torsten Bertram
Interaction-Aware Trajectory Prediction based on a 3D Spatio-Temporal Tensor Representation using Convolutional-Recurrent Neural Networks. IV (2020)
Martin Krüger, Anne Stockem Novo, Till Nattermann, Torsten Bertram
Probabilistic Lane Change Prediction using Gaussian Process Neural Networks. ITSC (2019)
Manuel Schmidt, Martin Krüger, Christian Lienke, Malte Oeljeklaus, Till Nattermann, Manoj Mohamed, Frank Hoffmann, Torsten Bertram
Fahrstreifenerkennung mit Deep Learning für automatisierte Fahrfunktionen. Autom. 67 (10) (2019)
Segev Wasserkrug, Martin Krüger, Yishai A. Feldman, Evgeny Shindin, Sergey Zeltyn
What's Wrong with My Dishwasher: Advanced Analytics Improve the Diagnostic Process for Miele Technicians. INFORMS J. Appl. Anal. 49 (5) (2019)
Martin Krüger, Ansgar Trächtler
Parametrische Modellordnungsreduktion für hierarchische selbstoptimierende Systeme. Autom. 63 (8) (2015)
Jan Henning Kessler, Martin Krüger, Ansgar Trächtler
Continuous objective-based control for self-optimizing systems with changing operation modes. ECC (2014)
Martin Krüger, Andria Remirez, Jan Henning Kessler, Ansgar Trächtler
Discrete objective-based control for self-optimizing systems. ACC (2013)
Christian Hölscher, Detmar Zimmer, Jan Henning Kessler, Martin Krüger, Ansgar Trächtler
Hierarchical optimization of coupled self-optimizing systems. INDIN (2012)
Cyril Godart, Martin Krüger
A Genetic Algorithm with Parallel Steady-State Reproduction. Artificial Evolution (1995)