Abstract

As AI-based functions become increasingly integral to autonomous vehicles, ensuring their safety remains a critical challenge and a complex task.
We will introduce our team, outline our key use cases, and highlight the most common challenges.

The session will provide a look at data-driven methodologies for evaluating AI behavior in an autonomous driving setup. We will explore approaches for safety-related model performance and data analysis, and how compliance with industry standards can be met.

Speaker

Szilárd Németh

AI Safety Expert @ Continental

Szilárd is an AI Safety Expert at Continental, specializing in deep learning and the integration of functional safety into AI-driven autonomous driving systems. At Continental, he has led initiatives to align machine learning development with automotive standards such as Automotive SPICE, and other ISO standards.