Michael Herman

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 22

Top Topics

Inverse Reinforcement Learning

Partially Observable Environments

Maximum Entropy

Top Venues

Publications

Michael Herman, Jörg Wagner, Vishnu Suganth Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Michael Herman, Jörg Wagner, Vishnu Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. CoRR (2020)
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai Oliver Arras
Human motion trajectory prediction: a survey. Int. J. Robotics Res. 39 (8) (2020)
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai Oliver Arras
Human Motion Trajectory Prediction: A Survey. CoRR (2019)
Huang Xiao, Michael Herman, Jörg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh
Wasserstein Adversarial Imitation Learning. CoRR (2019)
Ulrich Baumann, Yuan-Yao Huang, Claudius Gläser, Michael Herman, Holger Banzhaf, J. Marius Zöllner
Classifying Road Intersections using Transfer-Learning on a Deep Neural Network. ITSC (2018)
Ulrich Baumann, Claudius Guiser, Michael Herman, J. Marius Zöllner
Predicting Ego-Vehicle Paths from Environmental Observations with a Deep Neural Network. ICRA (2018)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. ESANN (2018)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. BMVC (2018)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. CoRR (2018)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. CoRR (2018)
Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior. AAAI (2017)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Learning Semantic Prediction using Pretrained Deep Feedforward Networks. ESANN (2017)
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. AISTATS (2016)
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. ESANN (2016)
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control. Intelligent Vehicles Symposium (2016)
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. CoRR (2016)
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control. CoRR (2016)
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control. CoRR (2016)
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations. ESANN (2016)
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
Exact Maximum Entropy Inverse Optimal Control for modeling human attention switching and control. SMC (2016)
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon, Wolfram Burgard
Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis. Australasian Conference on Artificial Intelligence (2016)
Michael Herman, Volker Fischer, Tobias Gindele, Wolfram Burgard
Inverse reinforcement learning of behavioral models for online-adapting navigation strategies. ICRA (2015)