111 citations
- Technical University of MunichDE4 papers
- Karlsruhe Institute of TechnologyDE3 papers
- Robert Bosch (Germany)DE2 papers
- University of TwenteNL2 papers
- University of WürzburgDE2 papers
- AIT Austrian Institute of Technology GmbHAT1 paper
- BMW (Germany)DE1 paper
- Chalmers University of TechnologySE1 paper
- Continental (Germany)DE1 paper
- Delft University of TechnologyNL1 paper
- Excellence Cluster OriginsDE1 paper
- FortissDE1 paper
15 papers
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Yuan Gao, Mattia Piccinini, Yuchen Zhang +12
For autonomous vehicles, safe navigation in complex environments depends on handling a broad range of diverse and rare driving scenarios. Simulation- and scenario-based testing hav…
Sick of being driven? -- Prevalence and modulating factors of carsickness in the European population in context of automated driving
Myriam Metzulat, Barbara Metz, Aaron Edelmann +2
As in automated driving the driver becomes a passenger, carsickness might reduce comfort for susceptible individuals. Insights in the prevalence of carsickness and its modulating f…
Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions
Saeed Rahmani, Sabine Rieder, Erwin de Gelder +6
Automated vehicles (AVs) promise to enhance transportation safety and efficiency. However, ensuring their reliability in real-world conditions remains challenging, particularly due…
Realtime Global Optimization of a Fail-Safe Emergency Stop Maneuver for Arbitrary Electrical / Electronical Failures in Automated Driving
F. Duerr, J. Ziehn, R. Kohlhaas +3
In the event of a critical system failures in auto-mated vehicles, fail-operational or fail-safe measures provide minimum guarantees for the vehicle's performance, depending on whi…
A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations
Lukas Rottkamp, Matthias Schubert
Accurate spatio-temporal information about the current situation is crucial for smart city applications such as modern routing algorithms. Often, this information describes the sta…
AGNES: Abstraction-guided Framework for Deep Neural Networks Security
Akshay Dhonthi, Marcello Eiermann, Ernst Moritz Hahn +1
Deep Neural Networks (DNNs) are becoming widespread, particularly in safety-critical areas. One prominent application is image recognition in autonomous driving, where the correct…