8 citations · 8 across the 1 of their papers we have counts for
3 papers
Evaluating Physical Consistency and Plausibility in Generative Scenario Models for Autonomous Driving
Manasa Mariam Mammen, Zafer Kayatas, Stefan Wagner
Generative AI models are increasingly used for scenario generation in autonomous driving. While they can generate realistic-looking scenarios, they often provide limited transparen…
Towards Reliable Vision-Language Models for Autonomous Driving
Manasa Mariam Mammen, Priyanka Mary Mammen, Zafer Kayatas +1
Vision-Language models (VLMs) are increasingly being explored in autonomous driving for tasks such as scene understanding, driving reasoning, decision-making, and end-to-end drivin…
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas +4
Scenario-based approaches for the validation of highly automated driving functions are based on the search for safety-critical characteristics of driving scenarios using software-i…