Speaker Details

Speaker Company

Adam Molin

Dr Molin has been technical manager in corporate R&D since 2016. At Denso, his R&D area is system design, verification and validation methodologies for automated driving. Before this, he worked as a researcher at Technische Universität München and KTH Royal Institute of Technology in Stockholm. He holds a PhD in engineering from Technische Universität München.


Simulation-based critical scenario identification and analysis for automated driving

Verification and validation processes play a vital role in ensuring the safety and reliability of autonomous vehicles. Scenario-based testing has emerged as an effective approach for identifying critical scenarios that challenge the capabilities of automated driving systems. This presentation aims to explore the usage of scenario-based testing to automatically identify critical factors by data analysis within a simulation. Built on experience from various R&D projects, the presentation will share best practices and insights for critical scenario identification to maximize efficiency and coverage.

The audience will learn:

  • A general framework for critical scenario identification using simulation
  • Best practices of using scenario-based testing to identify critical factors for automated driving safety
  • Guidelines on different scenario description formats and optimization methods and their impact on critical scenario identification