Joshua Ransiek

According to our database, Joshua Ransiek authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Generative AI in Systems Engineering: A Framework for Risk Assessment of Large Language Models.

Stefan Otten, Philipp Reis, Philipp Rigoll, Joshua Ransiek, Tobias Schürmann, Jacob Langner, Eric Sax

CoRR, February, 2026

2025

A Data-Driven Novelty Score for Diverse In-Vehicle Data Recording.

Philipp Reis, Joshua Ransiek, David Petri, Jacob Langner, Eric Sax

CoRR, July, 2025

Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review.

Joshua Ransiek, Philipp Reis, Tobias Schürmann, Eric Sax

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

A Data-Driven Novelty Score for Diverse in-Vehicle Data Recording.

Philipp Reis, Joshua Ransiek, David Petri, Tobias Schürmann, Jacob Langner, Eric Sax

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning.

Daniel Flögel, Marcos Gómez Villafañe, Joshua Ransiek, Sören Hohmann

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024

Adversarial and Reactive Traffic Agents for Realistic Driving Simulation.

Joshua Ransiek, Philipp Reis, Eric Sax

CoRR, 2024

GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation.

Joshua Ransiek, Johannes Plaum, Jacob Langner, Eric Sax

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Contextualizing the Sim-to-Real Gap for Hardware-in-the-Loop Testing of Highly Automated Driving Functions.

Christian Steinhauser, Joshua Ransiek, Jacob Langner, Eric Sax

Proceedings of the 8th International Conference on System Reliability and Safety, 2024

2023

1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey.

Barbara Schütt, Joshua Ransiek, Thilo Braun, Eric Sax

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Generation of Adversarial Trajectories using Reinforcement Learning to Test Motion Planning Algorithms.

Joshua Ransiek, Barbara Schütt, Adrian Hof, Eric Sax

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Robust Parameter Estimation and Tracking through Lyapunov-based Actor-Critic Reinforcement Learning.

Thomas Rudolf, Joshua Ransiek, Stefan Schwab, Sören Hohmann

Proceedings of the IECON 2022, 2022