Julian F. Schumann

According to our database, Julian F. Schumann authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A survey on robustness in trajectory prediction for autonomous vehicles.

Jeroen Hagenus, Frederik Baymler Mathiesen, Julian Frederik Schumann, Arkady Zgonnikov

CoRR, 2024

Robust Multi-Modal Density Estimation.

Anna Mészáros, Julian Frederik Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober

CoRR, 2024

Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios.

Julian F. Schumann, Jens Kober, Arkady Zgonnikov

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction.

Anna Mészáros, Julian Frederik Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Robustness in trajectory prediction for autonomous vehicles: a survey.

Jeroen Hagenus, Frederik Baymler Mathiesen, Julian F. Schumann, Arkady Zgonnikov

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

ROME: Robust Multi-Modal Density Estimator.

Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios.

Julian Frederik Schumann, Jens Kober, Arkady Zgonnikov

IEEE Trans. Intell. Veh., March, 2023

The COMMOTIONS Urban Interactions Driving Simulator Study Dataset.

Aravinda Ramakrishnan Srinivasan, Julian Frederik Schumann, Yueyang Wang, Yi-Shin Lin, Michael Daly, Albert Solernou, Arkady Zgonnikov, Matteo Leonetti, Jac Billington, Gustav Markkula

CoRR, 2023

Smooth-Trajectron++: Augmenting the Trajectron++ Behaviour Prediction Model with Smooth Attention.

Frederik S. B. Westerhout, Julian Frederik Schumann, Arkady Zgonnikov

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

Julian Frederik Schumann, Aravinda Ramakrishnan Srinivasan, Jens Kober, Gustav Markkula, Arkady Zgonnikov

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios.

Julian Frederik Schumann, Jens Kober, Arkady Zgonnikov

CoRR, 2022

2021

Fighting the curse of dimensionality: A machine learning approach to finding global optima.

Julian F. Schumann, Alejandro M. Aragón

CoRR, 2021