Search Results for author: Julian F. Schumann

Found 4 papers, 1 papers with code

Robust Multi-Modal Density Estimation

no code implementations19 Jan 2024 Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober

Development of multi-modal, probabilistic prediction models has lead to a need for comprehensive evaluation metrics.

Density Estimation

Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention

1 code implementation31 May 2023 Frederik S. B. Westerhout, Julian F. Schumann, Arkady Zgonnikov

Understanding traffic participants' behaviour is crucial for predicting their future trajectories, aiding in developing safe and reliable planning systems for autonomous vehicles.

Autonomous Driving Trajectory Forecasting

Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study

no code implementations24 May 2023 Julian F. Schumann, Aravinda Ramakrishnan Srinivasan, Jens Kober, Gustav Markkula, Arkady Zgonnikov

The development of automated vehicles has the potential to revolutionize transportation, but they are currently unable to ensure a safe and time-efficient driving style.

Decision Making

A machine learning approach for fighting the curse of dimensionality in global optimization

no code implementations28 Oct 2021 Julian F. Schumann, Alejandro M. Aragón

Finding global optima in high-dimensional optimization problems is extremely challenging since the number of function evaluations required to sufficiently explore the search space increases exponentially with its dimensionality.

BIG-bench Machine Learning

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