Search Results for author: Max Winkelmann

Found 2 papers, 1 papers with code

Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing

no code implementations • 2 Feb 2023 • Max Winkelmann, Constantin Vasconi, Steffen Müller

Automated vehicles (AVs) are tested in diverse scenarios, typically specified by parameters such as velocities, distances, or curve radii.

motion prediction

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Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios

1 code implementation • 6 Oct 2021 • Max Winkelmann, Mike Kohlhoff, Hadj Hamma Tadjine, Steffen Müller

However, despite the safety criticality of AV testing, metamodels are usually seen as a part of an overall approach, and their predictions are not questioned.

Gaussian Processes Probabilistic Deep Learning

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