Ensuring the safety and reliability of Autonomous Vehicles (AVs) and Advanced Driver-Assistance Systems (ADAS) is essential for large-scale adoption. Scenario-based testing has emerged as a critical methodology to ensure compliance with the latest regulations and standards to validate AV and ADAS functionalities across real-world situations.

Leverage driving data to deliver dependable ADAS and AD functionality: What will you learn?

This webinar addresses the challenges posed by the vast amounts of data generated during testing. This requires a robust tool capable of ingesting and analyzing the data at scale and quickly and efficiently retrieving relevant scenarios. We will introduce the scenario-based testing methodology to help meet regulatory compliance and ensure the trustworthiness of ADAS and AV systems.

Explore the Simcenter portfolio for autonomous vehicle performance engineering

Join us as we cover the key insights and strategies needed to leverage data effectively for scenario-based testing, ultimately driving the development of safer and more reliable ADAS and AV functionalities. You will learn how to:

• Maximize the productivity of your data and reduce engineering costs with an interactive tool that can be easily integrated into any toolchain.
• Extract logical driving scenarios and their parameters from your recordings.
• Use traceability to assess the performance of your ADAS/AD systems against regulations, standards and requirements.
• Optimize your driving campaigns to obtain the data to test and validate your systems.
• Support collaboration and transparency between working levels and stakeholders.