Effective testing in autonomous driving requires a balance between open-loop and closed-loop approaches, each essential for assessing different facets of system performance. This presentation will explore how OpenScenario standards can be leveraged for structured testing, covering perception, decision-making and control systems. We'll discuss how closed-loop testing provides iterative feedback loops for realistic simulations, while open-loop testing isolates component responses to predefined scenarios. Gain insights into how to optimize testing workflows with OpenScenario, from simulating edge cases to validating sensor interactions and complex maneuvers, ensuring robust, reliable autonomous vehicle performance across diverse operational design domains (ODDs).

• Understand the differences between open-loop and closed-loop testing
• Explore the role of OpenScenario standards in testing automation
• Gain insights into testing edge cases and complex scenarios
• Examine practical testing strategies for diverse operational design domains (ODDs)
• Discover best practices for transitioning from simulation to real-world testing