Julian F. Schumann

According to our database, Julian F. Schumann authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational model.

Julian F. Schumann, Johan Engström, Ran Wei, Shu-Yuan Liu, Jens Kober, Arkady Zgonnikov

CoRR, April, 2026

Evaluating randomized smoothing as a defense against adversarial attacks in trajectory prediction.

Julian F. Schumann, Eduardo Figueiredo, Frederik Baymler Mathiesen, Luca Laurenti, Jens Kober, Arkady Zgonnikov

CoRR, March, 2026

2025

Controllable Generative Trajectory Prediction via Weak Preference Alignment.

Yongxi Cao, Julian F. Schumann, Jens Kober, Joni Pajarinen, Arkady Zgonnikov

CoRR, October, 2025

STEP: Structured Training and Evaluation Platform for benchmarking trajectory prediction models.

Julian F. Schumann, Anna Mészáros, Jens Kober, Arkady Zgonnikov

CoRR, September, 2025

Active inference as a unified model of collision avoidance behavior in human drivers.

Julian F. Schumann, Johan Engström, Leif Johnson, Matthew O'Kelly, João V. Messias, Jens Kober, Arkady Zgonnikov

CoRR, June, 2025

Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation.

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

CoRR, May, 2025

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 26th 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 26th 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