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2020 – today
- 2022
[j2]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): 14922-14937 (2022)- 2020
- [b1]Michael Herman:
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems. University of Freiburg, Germany, 2020 - [j1]Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai O. Arras:
Human motion trajectory prediction: a survey. Int. J. Robotics Res. 39(8) (2020) - [i8]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. CoRR abs/2012.08418 (2020)
2010 – 2019
- 2019
- [i7]Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai Oliver Arras:
Human Motion Trajectory Prediction: A Survey. CoRR abs/1905.06113 (2019) - [i6]Huang Xiao, Michael Herman, Jörg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh:
Wasserstein Adversarial Imitation Learning. CoRR abs/1906.08113 (2019) - 2018
- [c13]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. BMVC 2018: 282 - [c12]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. ESANN 2018 - [c11]Ulrich Baumann, Claudius Guiser, Michael Herman, J. Marius Zöllner:
Predicting Ego-Vehicle Paths from Environmental Observations with a Deep Neural Network. ICRA 2018: 1-9 - [c10]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: 683-690 - [i5]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. CoRR abs/1810.02766 (2018) - [i4]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. CoRR abs/1810.03867 (2018) - 2017
- [c9]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: 3797-3803 - [c8]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Learning Semantic Prediction using Pretrained Deep Feedforward Networks. ESANN 2017 - 2016
- [c7]Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard:
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. AISTATS 2016: 102-110 - [c6]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: 525-534 - [c5]Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard:
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations. ESANN 2016 - [c4]Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke:
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. ESANN 2016 - [c3]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: 412-418 - [c2]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: 2807-2813 - [i3]Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard:
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. CoRR abs/1604.03912 (2016) - [i2]Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen:
Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control. CoRR abs/1604.03984 (2016) - [i1]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 abs/1607.05485 (2016) - 2015
- [c1]Michael Herman, Volker Fischer, Tobias Gindele, Wolfram Burgard:
Inverse reinforcement learning of behavioral models for online-adapting navigation strategies. ICRA 2015: 3215-3222
Coauthor Index
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