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Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features
Automated vehicles require a comprehensive understanding of traffic situ...
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Wasserstein Adversarial Imitation Learning
Imitation Learning describes the problem of recovering an expert policy ...
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Human Motion Trajectory Prediction: A Survey
With growing numbers of intelligent systems in human environments, the a...
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Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation
The performance of autonomous systems heavily relies on their ability to...
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Hierarchical Recurrent Filtering for Fully Convolutional DenseNets
Generating a robust representation of the environment is a crucial abili...
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Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
Inverse Reinforcement Learning (IRL) describes the problem of learning a...
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Michael Herman
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one of the leading experts on the theory of dynamical systems.