Joshua Ransiek

14 papers A 1B 1C 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative AI in Systems Engineering: A Framework for Risk Assessment of Large Language Models.
CoRR
Stefan Otten, Philipp Reis, Philipp Rigoll, Joshua Ransiek, Tobias Schürmann, Jacob Langner, Eric Sax
2025 J jnl
A Data-Driven Novelty Score for Diverse In-Vehicle Data Recording.
CoRR
Philipp Reis, Joshua Ransiek, David Petri, Jacob Langner, Eric Sax
2025 — conf
A Data-Driven Novelty Score for Diverse in-Vehicle Data Recording.
ITSC
Philipp Reis, Joshua Ransiek, David Petri, Tobias Schürmann, Jacob Langner, Eric Sax
2025 B conf
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review.
SMC
Joshua Ransiek, Philipp Reis, Tobias Schürmann, Eric Sax
2025 A conf
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning.
IROS
Daniel Flögel, Marcos Gómez Villafañe, Joshua Ransiek, Sören Hohmann
2024 J jnl
Adversarial and Reactive Traffic Agents for Realistic Driving Simulation.
CoRR
Joshua Ransiek, Philipp Reis, Eric Sax
2024 — conf
Contextualizing the Sim-to-Real Gap for Hardware-in-the-Loop Testing of Highly Automated Driving Functions.
ICSRS
Christian Steinhauser, Joshua Ransiek, Jacob Langner, Eric Sax
2024 J jnl
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning.
CoRR
Daniel Flögel, Marcos Gómez Villafañe, Joshua Ransiek, Sören Hohmann
2024 — conf
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation.
ITSC
Joshua Ransiek, Johannes Plaum, Jacob Langner, Eric Sax
2024 J jnl
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation.
CoRR
Joshua Ransiek, Johannes Plaum, Jacob Langner, Eric Sax
2023 C conf
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey.
IV
Barbara Schütt, Joshua Ransiek, Thilo Braun, Eric Sax
2023 J jnl
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey.
CoRR
Barbara Schütt, Joshua Ransiek, Thilo Braun, Eric Sax
2023 — conf
Generation of Adversarial Trajectories using Reinforcement Learning to Test Motion Planning Algorithms.
ITSC
Joshua Ransiek, Barbara Schütt, Adrian Hof, Eric Sax
2022 C conf
Robust Parameter Estimation and Tracking through Lyapunov-based Actor-Critic Reinforcement Learning.
IECON
Thomas Rudolf, Joshua Ransiek, Stefan Schwab, Sören Hohmann