CO-LOCATED EVENTS

Speaker

Lars Ullrich

Research Associate, FAU Erlangen Nürnberg

Lars Ullrich is a Ph.D. student at the Chair of Automatic Control at Friedrich–Alexander–Universität Erlangen–Nürnberg, where he also earned his M.Sc. in Mechatronics in 2022. For his Master’s thesis, he received the Baumüller and Hanns-Voith-Foundation Award. He holds a B.Eng. in Mechatronics from the Cooperative State University (DHBW). His research focuses on probabilistic trajectory planning for safe and reliable autonomous driving in uncertain dynamic environments, with a particular emphasis on addressing challenges associated with AI systems in automated driving. Since early 2025, he serves as Vice-Chair of the IEEE Intelligent Transportation Systems Society (ITSS) German Chapter.

The Pop in Your Job – What drives you? Why do you love your job?
What drives me is the fusion of technology and innovation, especially in the rapidly evolving field of automated driving. I thrive in dynamic, ambitious, and impactful environments, where cutting-edge research meets real-world application. The challenge of developing AI-driven solutions that enhance safety and scalability excites me, as does the opportunity to bridge the gap between theory, industry, and regulation. I am passionate about solving complex problems, collaborating with experts across disciplines, and shaping the future of autonomous mobility. The constant pursuit of progress—whether through new methodologies, safety frameworks, or breakthrough technologies—is what makes my work so engaging and rewarding.

Session

Case Study

Monday, September 29

06:00 pm - 06:28 pm

Live in Berlin

Less Details

Ensuring the safety of AI in safety-critical systems is essential for the deployment of automated driving technology. While AI has demonstrated its potential to surpass classical approaches in handling complexity and enabling higher levels of autonomy, the necessary safety assurance frameworks remain underdeveloped. This presentation will provide a forward-looking perspective on the interdependencies between AI safety research, standardization, and regulation. In contrast to conventional discussions that focus primarily on research, this talk will highlight the interplay between these three domains, identifying emerging trends, gaps, and key challenges that must be addressed. By presenting a holistic view, the session aims to equip researchers, safety experts, and industry professionals with insights into the current status and future directions of AI safety assurance in automated driving.

In this session, you will learn more about:

  • Explore the rising demand for AI safety assurance across research, standardization, and regulation
  • Understand the core aspects of AI safety assurance—data dependency, lifecycle management, and safety abstraction
  • Gain a forward-looking perspective to overcome current challenges in AI safety assurance
Presentation

Company

FAU Erlangen Nürnberg

One of Germany‘s oldest and most distinguished universities: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). We offer 40,000 students from around the world the ideal innovation-driven environment to kick-start their careers in Engineering, Business, Natural Sciences, Medicine, Law, & the Humanities.