Michael Herman

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one of the leading experts on the theory of dynamical systems.

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∙ 12/15/2020

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

Automated vehicles require a comprehensive understanding of traffic situ...

Michael Herman, et al. ∙

∙ 06/19/2019

Wasserstein Adversarial Imitation Learning

Imitation Learning describes the problem of recovering an expert policy ...

Huang Xiao, et al. ∙

∙ 05/15/2019

Human Motion Trajectory Prediction: A Survey

With growing numbers of intelligent systems in human environments, the a...

Andrey Rudenko, et al. ∙

∙ 10/09/2018

Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation

The performance of autonomous systems heavily relies on their ability to...

Jörg Wagner, et al. ∙

∙ 10/05/2018

Hierarchical Recurrent Filtering for Fully Convolutional DenseNets

Generating a robust representation of the environment is a crucial abili...

Jörg Wagner, et al. ∙

∙ 04/13/2016

Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics

Inverse Reinforcement Learning (IRL) describes the problem of learning a...

Michael Herman, et al. ∙

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