Michael Herman

25 papers A* 3A 2B 6Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Sun sensor calibration algorithms: A systematic mapping and survey.
CoRR
Michael Herman, Olivia J. Pinon Fischer, Dimitri N. Mavris
2022 J jnl
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features.
IEEE Trans. Intell. Transp. Syst.
Michael Herman, Jörg Wagner, Vishnu Suganth Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser
2020 J jnl
Human motion trajectory prediction: a survey.
Int. J. Robotics Res.
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai O. Arras
2020 J jnl
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features.
CoRR
Michael Herman, Jörg Wagner, Vishnu Suganth Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser
2020 — —
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Michael Herman
2019 J jnl
Human Motion Trajectory Prediction: A Survey.
CoRR
Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M. Kitani, Dariu M. Gavrila, Kai Oliver Arras
2019 J jnl
Wasserstein Adversarial Imitation Learning.
CoRR
Huang Xiao, Michael Herman, Jörg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh
2018 — conf
Classifying Road Intersections using Transfer-Learning on a Deep Neural Network.
ITSC
Ulrich Baumann, Yuan-Yao Huang, Claudius Gläser, Michael Herman, Holger Banzhaf, J. Marius Zöllner
2018 A conf
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation.
BMVC
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2018 J jnl
Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation.
CoRR
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2018 B conf
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets.
ESANN
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2018 J jnl
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets.
CoRR
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2018 A* conf
Predicting Ego-Vehicle Paths from Environmental Observations with a Deep Neural Network.
ICRA
Ulrich Baumann, Claudius Guiser, Michael Herman, J. Marius Zöllner
2017 A* conf
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior.
AAAI
Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf
2017 B conf
Learning Semantic Prediction using Pretrained Deep Feedforward Networks.
ESANN
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2016 J jnl
Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control.
CoRR
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
2016 B conf
Exact Maximum Entropy Inverse Optimal Control for modeling human attention switching and control.
SMC
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
2016 A conf
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics.
AISTATS
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
2016 J jnl
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics.
CoRR
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
2016 — conf
Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis.
Australasian Conference on Artificial Intelligence
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Christophe Quignon, Wolfram Burgard
2016 B conf
Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks.
ESANN
Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2016 J jnl
Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control.
CoRR
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
2016 B conf
Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control.
Intelligent Vehicles Symposium
Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen
2016 B conf
Simultaneous estimation of rewards and dynamics from noisy expert demonstrations.
ESANN
Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, Wolfram Burgard
2015 A* conf
Inverse reinforcement learning of behavioral models for online-adapting navigation strategies.
ICRA
Michael Herman, Volker Fischer, Tobias Gindele, Wolfram Burgard