2021
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features
Michael Herman, Jörg Wagner, Vishnu Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser
Submitted to the IEEE Transactions on Intelligent Transportation Systems
@article{herman2020pedestrian,
title={Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features},
author={Herman, Michael and Wagner, J{\"o}rg and Prabhakaran, Vishnu and M{\"o}ser, Nicolas and Ziesche, Hanna and Ahmed, Waleed and B{\"u}rkle, Lutz and Kloppenburg, Ernst and Gl{\"a}ser, Claudius},
journal={arXiv preprint arXiv:2012.08418},
year={2020}
}
2020
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M Kitani, Dariu M Gavrila, Kai O Arras
The International Journal of Robotics Research, 2020
@article{rudenko2019human,
title={Human motion trajectory prediction: A survey},
author={Rudenko, Andrey and Palmieri, Luigi and Herman, Michael and Kitani, Kris M and Gavrila, Dariu M and Arras, Kai O},
journal={arXiv preprint arXiv:1905.06113},
year={2019}
}
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Herman, Michael
PhD Thesis, University of Freiburg, January 28, 2020
@phdthesis{Herman2020PhDThesis,
author = {Herman, Michael},
year = {2020},
month = {01},
school= {University of Freiburg},
address = {Freiburg, Germany},
title = {Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems}
}
2019
Wasserstein Adversarial Imitation Learning
Huang Xiao, Michael Herman, Joerg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh
arXiv preprint arXiv:1906.08113, June 19, 2019
@article{xiao2019wasserstein,
title={Wasserstein adversarial imitation learning},
author={Xiao, Huang and Herman, Michael and Wagner, Joerg and Ziesche, Sebastian and Etesami, Jalal and Linh, Thai Hong},
journal={arXiv preprint arXiv:1906.08113},
year={2019}
}
2018
Classifying Road Intersections Using Transfer-Learning on a Deep Neural Network
Ulrich Baumann, Yuan-Yao Huang, Claudius Gläser, Michael Herman, Holger Banzhaf, J. Marius Zöllner
IEEE 21th International Conference on Intelligent Transportation Systems, 2018, Maui, Hawaii, USA, November 4 – 7, 2018
@INPROCEEDINGS{Baumann2018ITSC,
author={U. {Baumann} and Y. {Huang} and C. {Gläser} and M. {Herman} and H. {Banzhaf} and J. M. {Zöllner}},
booktitle={2018 21st International Conference on Intelligent Transportation Systems (ITSC)},
title={Classifying Road Intersections Using Transfer-Learning on a Deep Neural Network},
year={2018},
month={November},
pages={683-690},
}
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
29th British Machine Vision Conference, 2018, Newcastle upon Tyne, England, September 03 – 06, 2018
@INPROCEEDINGS{Wagner2018BMVC,
author={Jörg Wagner and Volker Fischer and Michael Herman and Sven Behnke},
booktitle={29th British Machine Vision Conference (BMVC)},
title={Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation},
year={2018},
month={September},
}
Predicting ego-vehicle paths from environmental observations with a deep neural network
Ulrich Baumann, Claudius Gläser, Michael Herman, J. Marius Zöllner
IEEE International Conference on Robotics and Automation, 2018, Brisbane, Australia, May 21 – 25, 2018
@INPROCEEDINGS{Baumann2018ICRA,
author={U. {Baumann} and C. {Guiser} and M. {Herman} and J. M. {Zollner}},
booktitle={2018 IEEE International Conference on Robotics and Automation (ICRA)},
title={Predicting ego-vehicle paths from environmental observations with a deep neural network},
year={2018},
month={May},
}
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2018, Bruges, Belgium, April 25 – 27, 2018
@INPROCEEDINGS{Wagner2018ESANN,
author={Jörg Wagner and Volker Fischer and Michael Herman and Sven Behnke},
booktitle={26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
title={Hierarchical Recurrent Filtering for Fully Convolutional DenseNets},
year={2018},
month={April},
}
2017
Learning Semantic Prediction using Pretrained Deep Feedforward Networks
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2017, Bruges, Belgium, April 26 – 28, 2017
@INPROCEEDINGS{Wagner2017ESANN,
author={Jörg Wagner and Volker Fischer and Michael Herman and Sven Behnke},
booktitle={25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
title={Learning Semantic Prediction using Pretrained Deep Feedforward Networks},
year={2017},
month={April},
}
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior.
Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf
AAAI Conference on Artificial Intelligence 2017, San Francisco, USA, February 4–9, 2017
@INPROCEEDINGS{Schmitt2017AAAI,
author={Felix Schmitt and Hans-Joachim Bieg and Michael Herman and Constantin A Rothkopf},
booktitle={AAAI Conference on Artificial Intelligence (AAAI)},
title={I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior.},
year={2017},
month={February},
}
2016
Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon, Wolfram Burgard
29th Australasian Joint Conference on Artificial Intelligence 2016, Hobart, Australia, December 5 – 8, 2016
@INPROCEEDINGS{Herman2016AI,
author={Michael Herman and Tobias Gindele and J\"org Wagner and Felix Schmitt and Christophe Quignon and Wolfram Burgard},
booktitle={Australasian Joint Conference on Artificial Intelligence},
title={Learning high-level navigation strategies via inverse reinforcement learning: A comparative analysis},
year={2016},
month={December},
}
Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
IEEE Conference on Systems, Man and Cybernetics 2016, Budapest, Hungary, October 9 – 12, 2016
@INPROCEEDINGS{Schmitt2016SMC,
author={Felix Schmitt and Hans-Joachim Bieg and Dietrich Manstetten and Michael Herman and Rainer Stiefelhagen},
booktitle={2016 IEEE Conference on Systems, Man and Cybernetics (SMC)},
title={Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control},
year={2016},
month={October},
}
Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
IEEE Intelligent Vehicles Symposium, 2016, Gothenburg, Sweden, June 19 – 22, 2016
@INPROCEEDINGS{Schmitt2016IV,
author={Felix Schmitt and Hans-Joachim Bieg and Dietrich Manstetten and Michael Herman and Rainer Stiefelhagen},
booktitle={2016 IEEE Intelligent Vehicles Symposium (IV)},
title={Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control},
year={2016},
month={June},
}
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016, Cadiz, Spain, May 9 – 11, 2016
@INPROCEEDINGS{Herman2016AISTATS,
author={Michael Herman and Tobias Gindele and Jörg Wagner and Felix Schmitt and Wolfram Burgard},
booktitle={Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)},
title={Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics},
year={2016},
pages={102-110},
month={May},
}
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2016, Bruges, Belgium, April 27 – 29, 2016
@INPROCEEDINGS{Wagner2016ESANN,
author={Jörg Wagner and Volker Fischer and Michael Herman and Sven Behnke},
booktitle={24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
title={Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks},
year={2016},
pages={509-514},
month={April},
}
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2016, Bruges, Belgium, April 27 – 29, 2016
@INPROCEEDINGS{Herman2016ESANN,
author={Michael Herman and Tobias Gindele and Jörg Wagner and Felix Schmitt and Wolfram Burgard},
booktitle={24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
title={Simultaneous estimation of rewards and dynamics from noisy expert demonstrations},
year={2016},
pages={677-682},
month={April},
}
2015
Inverse Reinforcement Learning of Behavioral Models for Online-Adapting Navigation Strategies
Michael Herman, Volker Fischer, Tobias Gindele, Wolfram Burgard
2015 IEEE International Conference on Robotics and Automation, 2015, Seattle, WA, USA, May 26 – 30, 2015
@INPROCEEDINGS{Herman2015ICRA,
author={Michael Herman and Volker Fischer and Tobias Gindele and Wolfram Burgard},
booktitle={2015 IEEE International Conference on Robotics and Automation (ICRA)},
title={Inverse Reinforcement Learning of Behavioral Models for Online-Adapting Navigation Strategies},
year={2015},
pages={3215-3222},
ISSN={1050-4729},
month={May},
}