Case Study
Monday, September 29
02:30 PM - 03:00 PM
Live in Berlin
Less Details
Verification and validation processes play a vital role in ensuring the safety and reliability of automated driving. Scenario-based testing has emerged as an effective method for identifying critical scenarios that challenge the capabilities of automated driving systems. This presentation aims to explore how to leverage the potential of Generative AI for traffic scenario generation. The session will highlight the capability of Generative AI models for guiding the scenario generation process towards critical scenarios and will discuss on the challenge how to ensure plausibility of the generated traffic scenarios.
In this session, you will learn more about:
Dr. Adam Molin is Technical Manager in Corporate R&D at DENSO AUTOMOTIVE Deutschland GmbH, where he has been working since 2016. At DENSO, his R&D area is on system design, verification and validation methodologies for automated driving. Prior to this, for more than 8 years, he worked as researcher at Technische Universität München and KTH Royal Institute of Technology in Stockholm. He holds a PhD in engineering from Technische Universität München.