Michael Herman

Orcid: 0000-0002-2298-9767

According to our database¹, Michael Herman authored at least 18 papers between 2015 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of three.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2022

Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features.

[BibT_eX]

[DOI]

Michael Herman

Jörg Wagner

Vishnu Suganth Prabhakaran

IEEE Trans. Intell. Transp. Syst., 2022

2020

Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems

[BibT_eX]

[DOI]

Michael Herman

PhD thesis, 2020

Human motion trajectory prediction: a survey.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2020

2019

Wasserstein Adversarial Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Classifying Road Intersections using Transfer-Learning on a Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Predicting Ego-Vehicle Paths from Environmental Observations with a Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Hierarchical Recurrent Filtering for Fully Convolutional DenseNets.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Learning Semantic Prediction using Pretrained Deep Feedforward Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior.

[BibT_eX]

[DOI]

Felix Schmitt

Hans-Joachim Bieg

Michael Herman

Constantin A. Rothkopf

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Exact Maximum Entropy Inverse Optimal Control for Modelling Human Attention Switching and Control.

[BibT_eX]

[DOI]

CoRR, 2016

Exact Maximum Entropy Inverse Optimal Control for modeling human attention switching and control.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Predicting lane keeping behavior of visually distracted drivers using inverse suboptimal control.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Simultaneous estimation of rewards and dynamics from noisy expert demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis.

[BibT_eX]

[DOI]

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Inverse reinforcement learning of behavioral models for online-adapting navigation strategies.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Michael Herman

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