Michael Herman
Michael Herman
Bosch Center for Artificial Intelligence
Verified email at informatik.uni-freiburg.de
Title
Cited by
Cited by
Year
Human motion trajectory prediction: A survey
A Rudenko, L Palmieri, M Herman, KM Kitani, DM Gavrila, KO Arras
The International Journal of Robotics Research 39 (8), 895-935, 2020
2382020
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks
J Wagner, V Fischer, M Herman, S Behnke
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016
1402016
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
M Herman, T Gindele, J Wagner, F Schmitt, W Burgard
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
492016
Wasserstein Adversarial Imitation Learning
H Xiao, M Herman, J Wagner, S Ziesche, J Etesami, TH Linh
arXiv preprint arXiv:1906.08113, 2019
252019
Inverse reinforcement learning of behavioral models for online-adapting navigation strategies
M Herman, V Fischer, T Gindele, W Burgard
2015 IEEE International Conference on Robotics and Automation (ICRA), 3215-3222, 2015
192015
Predicting ego-vehicle paths from environmental observations with a deep neural network
U Baumann, C Gläser, M Herman, JM Zöllner
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-9, 2018
142018
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior.
F Schmitt, HJ Bieg, M Herman, CA Rothkopf
AAAI, 3797-3803, 2017
132017
Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control
F Schmitt, HJ Bieg, D Manstetten, M Herman, R Stiefelhagen
2016 IEEE Intelligent Vehicles Symposium (IV), 412-418, 2016
122016
Classifying Road Intersections Using Transfer-Learning on a Deep Neural Network
U Baumann, YY Huang, C Gläser, M Herman, H Banzhaf, JM Zöllner
2018 IEEE 21th International Conference on Intelligent Transportation …, 2018
92018
Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis
M Herman, T Gindele, J Wagner, F Schmitt, C Quignon, W Burgard
Australasian Joint Conference on Artificial Intelligence, 525-534, 2016
62016
Exact maximum entropy inverse optimal control for modeling human attention switching and control
F Schmitt, HJ Bieg, D Manstetten, M Herman, R Stiefelhagen
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
62016
Learning Semantic Prediction using Pretrained Deep Feedforward Networks
J Wagner, V Fischer, M Herman, S Behnke
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2017
42017
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets
J Wagner, V Fischer, M Herman, S Behnke
European Symposium on Artificial Neural Networks (ESANN), 2018
12018
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations
M Herman, T Gindele, J Wagner, F Schmitt, W Burgard
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016
12016
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation
J Wagner, V Fischer, M Herman, S Behnke
1*
Method for determining control parameters for a control system
B Alt, M Herman
US Patent App. 17/107,376, 2021
2021
Control system for a motor vehicle and method for adapting the control system
A Trachte, B Alt, C Passenberg, M Herman, M Hilsch
US Patent App. 17/069,093, 2021
2021
Method and device for determining a feature for devices produced on a wafer
C Zimmer, D Radovic, ES Schmidt, M Kuehnel, M Herman, W Liu, ...
US Patent App. 17/002,675, 2021
2021
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features
M Herman, J Wagner, V Prabhakaran, N Möser, H Ziesche, W Ahmed, ...
arXiv preprint arXiv:2012.08418, 2020
2020
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
M Herman
University of Freiburg, 2020
2020
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