End-user acceptance is critical for the success of ADAS/AD features. The increasing complexity of their development generates tremendous amounts of data, which must be evaluated and assessed efficiently.

Martin Steinbacher explains how to carry out this process with AVL-DRIVE™ without neglecting the end users’ expectations.

Key topics and takeaways:
• Gain insight into the working principles and benefits of the AVL-DRIVE™ AD assessment method
• How to bring the well-known automated objective assessment method into the ADAS/AD domain
• Learn how to apply the same algorithms and methods in real-world and cloud environments
• Learn how to make reporting easy and efficient
• Discover how to ensure the end-consumer remains the focus of the development