AI-Generated, Human-Approved: 80% Productivity Boost in OpenSCENARIO Creation Workflows

This webinar presents a transformative approach to scenario generation for ADAS and autonomous driving systems. Traditionally, creating high-quality OpenSCENARIO content from safety requirements has been a manual process – often requiring hours of expert effort to ensure logical consistency, physical realism, and compliance with test objectives. 

With increasing complexity and the need for broader coverage, especially in edge cases, the industry faces a scalability challenge that demands smarter tools and workflows. By combining generative AI with human-in-the-loop validation, we introduce a hybrid methodology that significantly accelerates scenario creation while preserving expert oversight. 

Engineers start with structured prompts or natural language inputs derived from safety requirements. A large language model generates initial scenario drafts, which are then refined and validated using AVL Scenario Designer™. This tool provides a rich interface for reviewing, debugging, and editing scenarios, supported by automated validation layers: static, dynamic, logical, semantic, and coverage. The result is a streamlined workflow that delivers up to 80% productivity gains without compromising safety-critical quality.

This webinar is designed for software engineers, scenario developers, and test engineers working in ADAS/AD validation. Whether you're authoring scenarios, integrating toolchains, or refining simulation workflows, you'll gain insights into how GenAI can be safely and effectively embedded into your development process. 

We’ll share practical techniques for prompt engineering, validation strategies, and integration options that support modular, future-proof toolchains. Join us to explore how to scale scenario creation without starting from scratch.