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Max Winkelmann

Applied Intuition

3 papers hereh-index 319 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.RO1
affiliations
  • Applied Intuition
ORCID 0000-0003-0743-7240

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedProbabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios

13 citations · 20 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2023★ 4 cited

Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing

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. To describe scenarios uniformly independe…

cs.RO2022★ 3 cited

Transfer Importance Sampling -- How Testing Automated Vehicles in Multiple Test Setups Helps With the Bias-Variance Tradeoff

Max Winkelmann, Constantin Vasconi, Steffen Müller

The promise of increased road safety is a key motivator for the development of automated vehicles (AV). Yet, demonstrating that an AV is as safe as, or even safer than, a human-dri…

cs.LG2021★ 13 cited

Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios

Max Winkelmann, Mike Kohlhoff, Hadj Hamma Tadjine +1

To validate the safety of automated vehicles (AV), scenario-based testing aims to systematically describe driving scenarios an AV might encounter. In this process, continuous input…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.